The DOI matches its Crossref record; 108 of the 108 references it cites were found in a registry or an index; 62 of the 138 sources its claims cite were checked for support.
Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice
Open accessAbstract
Social media platforms are popular venues for sharing personal experiences, seeking information, and offering peer-to-peer support among individuals living with mental illness. With significant shortfalls in the availability, quality, and reach of evidence-based mental health services across the United States and globally, social media platforms may afford new opportunities to bridge this gap. However, caution is warranted, as numerous studies highlight risks of social media use for mental health. In this commentary, we consider the role of social media as a potentially viable intervention platform for offering support to persons with mental disorders, promoting engagement and retention in care, and enhancing existing mental health services. Specifically, we summarize current research on the use of social media among mental health service users, and early efforts using social media for the delivery of evidence-based programs. We also review the risks, potential harms, and necessary safety precautions with using social media for mental health. To conclude, we explore opportunities using data science and machine learning, for example by leveraging social media for detecting mental disorders and developing predictive models aimed at characterizing the aetiology and progression of mental disorders. These various efforts using social media, as summarized in this commentary, hold promise for improving the lives of individuals living with mental disorders.
Overview
AI snapshot
Written from the paper’s full text.
TL;DR
This commentary reviews evidence that social media is widely used by people with mental illness and may support social interaction, peer support, and engagement in services, while also carrying risks for symptoms, hostile interactions, and daily life. It argues that benefits should not yet be viewed as outweighing harms and calls for safeguards, ethical attention, and further research, including digital phenotyping and machine learning.
Key findings
- Social media use is common among psychiatric populations: about 70% among middle-aged/older individuals and those with serious mental illness, 72% among peer support agency respondents, 68% daily use among first-episode psychosis, over 97% among adolescents/young adults with psychotic or mood disorders, and 98% among adolescents recruited from community mental health centers; in 2020 there were an estimated 3.8 billion social media users worldwide, half the global population.
- Potential benefits include facilitating social interaction, access to peer support networks, and promoting engagement/retention in services; in a HORYZONS pilot, 95% engaged with the peer-to-peer networking feature and there were significant reductions in depression, while PeerFIT’s private Facebook group appeared to increase engagement.
- Risks include associations between heavy/prolonged social media use and anxiety/depressive symptoms; using 7–11 platforms versus 2 or fewer was associated with 3 times greater odds of high depressive symptoms and 3.2 times greater odds of high anxiety symptoms; cyberbullying is linked to depression/anxiety, with females twice as likely to be victims; youth with moderate-to-severe depressive symptoms were more likely to report hostile comments or being “trolled” (31% vs. 14%); over one third of social media users with serious mental illness expressed privacy concerns.
- Emerging opportunities include using machine learning and digital phenotyping on Twitter/Instagram data to study depression, schizophrenia communication patterns, and illness onset/course, though ethical concerns about consent, identifiability, and stigma remain.
Methods
- This is a commentary/narrative review, not a systematic review; the authors searched Medline and Google Scholar using terms “mental health” or “mental illness” and “social media,” and searched reference lists of recent reviews and relevant studies.
- They did not perform a systematic search or apply specific inclusion criteria based on study design or type of mental disorder.
- The main analysis is a narrative synthesis of benefits, risks, and future directions, without meta-analysis or new primary data.
Limitations
- Stated: the review is not systematic or exhaustive; it only summarizes published studies, omitting private-sector or gray literature; it did not assess risk of bias; few intervention studies reported negative findings, suggesting possible publication bias; and most studies were from the United States or other high-income settings, with a dearth of research in low- and middle-income countries.
- Evident and stated: many included studies are cross-sectional, making it difficult to draw conclusions about direction of causation.
- Evident: as a commentary, it relies on secondary literature and does not present original empirical findings.
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Claims the paper makes
45 No full text of the sources · 31 Supported · 23 Own interpretation · 17 Partly supported · 12 Sources not found · 6 Supported so far · 5 Own method · 2 Couldn’t confirm · 2 Own result · 1 Not checked yet · accuracy not yet measured
Every source the paper cites for this claim was checked and supports it.
In the paper
“For individuals who openly discuss mental health problems on Twitter, a study by Berry et al. (2017) found that this served as an important opportunity to seek support and to hear about the experiences of others (Berry et al., 2017).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Access to a Peer Support Network
What the sources say
- Supportedcites Berry et al., 2017 source
In Results, Theme 1 (page not provided), users describe receiving support and connecting with people who have similar experiences. The Discussion, Principal Findings (page not provided), likewise says Twitter allowed users to communicate with and receive support from others with similar experiences. (LLM, conf=0.90)
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“while other studies have found that some individuals may prefer to seek help for mental health concerns online rather than through in-person encounters (Batterham & Calear, 2017).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Facilitate Social Interaction
What the sources say
- Supportedcites Batterham & Calear, 2017 source
The Results section, “Preference for Online Programs Compared to Face-to-Face Programs” (page not provided), reports that 14.4% of participants would likely use online programs only for a personal or emotional problem. That supports the qualified claim that some individuals may prefer online help to in-person help, although face-to-face-only help was more common. (LLM, conf=0.92)
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Individuals who self-identified as having a schizophrenia spectrum disorder responded to a survey shared through the National Alliance of Mental Illness (NAMI), and reported that visiting social media sites was one of their most common activities when using digital devices, taking up roughly 2 hours each day (Gay, Torous, Joseph, Pandya, & Duckworth, 2016).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health
What the sources say
- Supportedcites Gay, Torous, Joseph, Pandya, & Duckworth, 2016 source
The Methods section describes a NAMI-commissioned survey of people self-identifying as having schizophrenia, schizoaffective disorder, or another schizophrenia spectrum disorder; some respondents were recruited through NAMI’s mailing list and website. The Results section (Purpose of Use) lists visiting social networking sites among the most common device activities, at 2.0 hours per day. (LLM, conf=0.92)
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“In a qualitative study, participants with schizophrenia described greater anonymity, the ability to discover that other people have experienced similar health challenges, and reducing fears through greater access to information as important motivations for using the Internet to seek mental health information (Schrank, Sibitz, Unger, & Amering, 2010).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Facilitate Social Interaction
What the sources say
- Supportedcites Schrank, Sibitz, Unger, & Amering, 2010 source
Split into 2 atoms — 2 confirmed, 0 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Recent studies have shown that individuals with mental disorders are increasingly gaining access to and using mobile devices, such as smartphones”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health
What the sources say
- Partly supportedcites Firth et al., 2015 sourceExperimental — accuracy not yet measured
The Results and Discussion report that mobile-phone ownership increased over time among people with psychosis, and the Results report daily use by some phone owners. The study does not establish an increasing trend in use or smartphone ownership, and its findings on ownership are specific to psychotic disorders rather than mental disorders generally. Page numbers are not available in our copy. (LLM, conf=0.86)
- Not checked — no full text of the sourcecites Glick, Druss, Pina, Lally, & Conde, 2016 source
- Partly supportedcites Torous, Chan, et al., 2014 sourceExperimental — accuracy not yet measured
The Discussion’s Principal Findings report that 62.5% of surveyed psychiatric outpatients owned smartphones and that 70.6% were interested in using them to monitor symptoms. The paper predicts that access and engagement will grow, but its survey does not establish that ownership or actual use was increasing over time. (LLM, conf=0.86)
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Comparable findings were demonstrated among middle-age and older individuals with mental illness accessing services at peer support agencies, where 72% of respondents reported using social media (Aschbrenner, Naslund, Grinley, et al., 2018).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health
What the sources say
- Partly supportedcites Aschbrenner, Naslund, Grinley, et al., 2018 sourceExperimental — accuracy not yet measured
The Discussion reports that 72% of peer support agency respondents used social media. However, the Abstract Methods describes the survey population as adults aged 18 and over; the 72% figure is not reported specifically for middle-aged and older respondents. (LLM, conf=0.87)
boosted- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Rates of social media use among psychiatric populations have increased in recent years”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health
What the sources say
- Partly supportedcites Brunette et al., 2019 sourceExperimental — accuracy not yet measured
The Discussion concludes that a growing number of people with serious mental illness use social media, supporting the direction of the claim. But it frames this as a suggestion from survey data, not a measured increase in social-media-use rates over time, and it concerns people with serious mental illness rather than psychiatric populations generally. No page number is available in our copy. (LLM, conf=0.82)
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“participation in chat rooms may contribute to worsening symptoms in young people with psychotic disorders (Mittal, Tessner, & Walker, 2007)”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Challenges with Social Media for Mental Health > Impact on Symptoms
What the sources say
- Partly supportedcites Mittal, Tessner, & Walker, 2007 sourceExperimental — accuracy not yet measured
The Results report that adolescents who spent more time in chat rooms had more severe schizotypal personality disorder (SPD) symptom ratings. The Discussion raises the possibility that reducing Internet access might reduce symptom severity, but says experimental studies are needed; it does not establish that chat-room participation worsens symptoms. The study concerns adolescents with SPD, not young people with psychotic disorders generally. (LLM, conf=0.85)
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“To date, this program has demonstrate preliminary effectiveness for meaningfully reducing cardiovascular risk factors that contribute to early mortality in this patient group (Aschbrenner, Naslund, Shevenell, Kinney, et al., 2016)”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Promote Engagement and Retention in Services
What the sources say
- Partly supportedcites Aschbrenner, Naslund, Shevenell, Kinney, et al., 2016 sourceExperimental — accuracy not yet measured
The Results report significant reductions in weight and BMI, with 28% of participants achieving clinically significant weight loss. The Introduction links obesity to reduced life expectancy and weight loss to lower cardiovascular risk. But fitness did not improve significantly, and the Conclusions say randomized trials are still needed to determine whether the intervention reduces obesity-related cardiovascular risk; the claim is broader than the pilot’s findings. (LLM, conf=0.84)
boosteddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“A computational study of mental health awareness campaigns on Twitter provides further support with inspirational posts and tips being the most shared (Saha et al., 2019).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Access to a Peer Support Network
What the sources say
- Supportedcites Saha et al., 2019 source
The Discussion states that personal tips and inspiration were the most widely shared content categories by volume and reach in the Twitter campaign studied. This supports the citing sentence’s paraphrase. (LLM, conf=0.93)
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“more frequent visits to social media platforms each week were correlated with greater depressive symptoms (Lin et al., 2016).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Challenges with Social Media for Mental Health > Impact on Symptoms
What the sources say
- Supportedcites Lin et al., 2016 source
The Methods describe a survey of adults ages 19–32. The Results (Multivariable Analyses) report greater depression among participants with more social media site visits per week, with a significant linear dose-response trend. The claim describes an association, not causation. (LLM, conf=0.94)
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Studies consistently highlight that use of social media, especially heavy use and prolonged time spent on social media platforms, appears to contribute to increased risk for a variety of mental health symptoms and poor wellbeing, especially among young people (Andreassen et al., 2016; Kross et al., 2013; Woods & Scott, 2016).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Challenges with Social Media for Mental Health > Impact on Symptoms
What the sources say
- Partly supportedcites Andreassen et al., 2016 sourceExperimental — accuracy not yet measured
The Conclusions (p. 19) associate addictive social-media use with several psychiatric symptoms and lower age, supporting part of the claim. But this cross-sectional study does not show that social-media use contributes to those symptoms, and its measure of addictive use does not establish a risk from prolonged time spent on platforms generally. Its sample was predominantly adults, rather than specifically young people. (LLM, conf=0.88)
- Partly supportedcites Kross et al., 2013 sourceExperimental — accuracy not yet measured
The Results (Facebook use and well-being; page unavailable) report that greater Facebook use predicted declines in life satisfaction, and the Methods identify the participants as young adults (mean age 19.52). This supports the claim about use and poorer well-being, but the study examined Facebook rather than social media platforms generally, did not establish effects of prolonged time spent, and did not report increased risk for a variety of mental health symptoms. (LLM, conf=0.88)
- Partly supportedcites Woods & Scott, 2016 sourceExperimental — accuracy not yet measured
The Discussion (p. 14) reports that greater social media use among adolescents was associated with poorer sleep, higher anxiety and depression, and lower self-esteem. But Social media and wellbeing (p. 16) says the direction of the relationship remains to be established. The source therefore supports the link, but not the implication that prolonged use contributes to the increased risk. (LLM, conf=0.87)
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Partly supported
The cited sources that could be checked couldn’t confirm or dispute this claim.
In the paper
“connecting with mental health providers (M. L. Birnbaum et al., 2017)”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Promote Engagement and Retention in Services
What the sources say
- Could not verifycites M. L. Birnbaum et al., 2017 sourceExperimental — accuracy not yet measured
The Introduction reports that individuals with mental illness use social media and describes benefits such as relationships and support. The Discussion considers ways to reach users online and says more research is needed on making first clinical contact. Neither section reports that individuals expressed interest in using social media to connect with mental health providers; searches for that interest and for provider contact found no such passage. (LLM, conf=0.72)
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Could not verify
Every source the paper cites for this claim was checked and supports it.
In the paper
“use of a large number of social media platforms was associated with negative impact on mental health (Primack et al., 2017).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Challenges with Social Media for Mental Health > Impact on Symptoms
What the sources say
- Supportedcites Primack et al., 2017 source
The Conclusion reports that use of multiple social media platforms was strongly associated with depressive and anxiety symptoms in a nationally representative sample of young adults. The citing sentence describes an association, not a causal effect. (LLM, conf=0.91)
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“while the Facebook component appears to have increased engagement in the program, while allowing participants who were unable to attend in-person sessions due to other health concerns or competing demands to remain connected with the program (Naslund, Aschbrenner, Marsch, McHugo, & Bartels, 2018).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Promote Engagement and Retention in Services
What the sources say
- Partly supportedcites Naslund, Aschbrenner, Marsch, McHugo, & Bartels, 2018 sourceExperimental — accuracy not yet measured
The Discussion (page not provided) suggests that Facebook may have helped participants who missed in-person sessions remain connected. It does not identify health concerns or competing demands as reasons for missing sessions, and says Facebook use may not have indicated greater overall program engagement. (LLM, conf=0.88)
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“These studies highlight a clear relationship between social media use and mental health that may not be present in general population studies (Orben & Przybylski, 2019)”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Challenges with Social Media for Mental Health > Impact on Symptoms
What the sources say
- Partly supportedcites Orben & Przybylski, 2019 sourceExperimental — accuracy not yet measured
The Results (p. 7) find a small negative association between social media use and adolescent well-being, rather than no association. The Discussion (p. 14) says the observed associations could be spurious, which supports the claim’s cautious ‘may not’ framing. The paper studies adolescents, however, and does not establish whether the relationship is absent in general-population studies. (LLM, conf=0.82)
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Rests on an assumption: The effects of social media on psychiatric symptoms for individuals living with more severe mental illnesses have received less attention.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Among survey respondents using between 7 and 11 different social media platforms compared to respondents using only 2 or fewer platforms, there was a 3 times greater odds of having high levels of depressive symptoms”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Challenges with Social Media for Mental Health > Impact on Symptoms
What the sources say
- Supportedcites Primack et al., 2017 source
The Results (Multivariable Analyses, Depression) compare respondents using 7–11 platforms with those using 0–2 and report about three times the odds of high depressive symptoms (OR = 3.1, 95% CI = 1.9–5.0). This directly supports the paraphrase. (LLM, conf=0.95)
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“The intervention holds tremendous promise as lack of support is one of the largest barriers toward exercise in patients with serious mental illness (Firth et al., 2016) and it is now possible to use social media to counter such.”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Promote Engagement and Retention in Services
What the sources say
- Supportedcites Firth et al., 2016 source
The Socio-ecological barriers section reports that lack of support was the most frequently experienced practical barrier, reported by 50% of respondents. The Discussion likewise calls it the most prominent socio-ecological barrier across the reviewed studies. The citing paper’s proposal to use social media is its own conclusion, not a finding attributed to this source. (LLM, conf=0.94)
boosteddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Another study was able to map the spread of social media posts about the Blue Whale Challenge, an alleged game promoting suicide, over Twitter, YouTube, Reddit, Tumblr and other forums across 127 countries (Sumner et al., 2019)”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Challenges with Social Media for Mental Health > Facing Hostile Interactions
What the sources say
- Supportedcites Sumner et al., 2019 source
The Methods (Data sources) list Twitter, YouTube, Reddit, Tumblr, public blogs, and forums. The Results say the study mapped the geographic spread of Blue Whale Challenge posts, with posts promoting or indicating participation in the game reaching 127 countries; the 127-country figure specifically refers to those “pro”-BWC posts. (LLM, conf=0.92)
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“accessing evidence-based mental health services delivered over social media specifically for coping with mental health symptoms or for promoting overall health and wellbeing (Naslund et al., 2017).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Promote Engagement and Retention in Services
What the sources say
- Supportedcites Naslund et al., 2017 source
The Results section, “Interest in programs for mental health on social media” (page not available), reports that 85% of surveyed participants were interested in programs delivered through social media. Among those interested, 90% selected programs for coping with mental health symptoms and 72% selected programs promoting overall health and wellbeing. The Introduction describes the study as assessing interest in evidence-based mental health programs through these platforms. (LLM, conf=0.93)
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“social media use appeared to predict low mood (Berry, Emsley, Lobban, & Bucci, 2018)”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Challenges with Social Media for Mental Health > Impact on Symptoms
What the sources say
- Supportedcites Berry, Emsley, Lobban, & Bucci, 2018 source
The Discussion’s clinical implications section reports reductions in mood after social media use and says psychosis did not moderate that relationship. This supports the claim for people with psychosis, though the finding also applied to participants without psychosis. No page number is available in our copy. (LLM, conf=0.91)
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“demonstrating that harmful content can travel quickly on social media (Saha et al., 2019)”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Challenges with Social Media for Mental Health > Facing Hostile Interactions
What the sources say
- Supportedcites Saha et al., 2019 source
The Discussion reports that stigmatizing Twitter posts had higher social diffusion and warns that harmful or hateful content could spread more broadly if not curbed early. The Introduction also says social media can reach large populations quickly. Together, these support the citing sentence’s broad paraphrase. (LLM, conf=0.87)
boosted- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Still, the cross sectional nature of many screen time and mental health studies makes it challenging to reach causal inferences (Orben & Przybylski, 2019).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Challenges with Social Media for Mental Health > Impact on Symptoms
What the sources say
- Supportedcites Orben & Przybylski, 2019 source
The Discussion (p. 14) says that most large-scale datasets permit only cross-sectional correlations, leaving it unclear whether technology use causes lower well-being, the reverse is true, or a confounder explains both. This directly supports the difficulty of drawing causal inferences from such studies. (LLM, conf=0.94)
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“In a survey of social media users with mental illness, respondents reported that sharing personal experiences about living with mental illness and opportunities to learn about strategies for coping with mental illness from others were important reasons for using social media (Naslund et al., 2017).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Access to a Peer Support Network
What the sources say
- Supportedcites Naslund et al., 2017 source
The Results (‘Social media use’; page not provided) report that 61% of participants used social media to share personal experiences of living with mental illness and 52% used it to learn coping strategies. This directly supports the cited survey finding. (LLM, conf=0.93)
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“while the Facebook component appears to have increased engagement in the program, while allowing participants who were unable to attend in-person sessions due to other health concerns or competing demands to remain connected with the program (Naslund, Aschbrenner, Marsch, McHugo, & Bartels, 2018).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Promote Engagement and Retention in Services
What the sources say
- Partly supportedcites Naslund, Aschbrenner, Marsch, McHugo, & Bartels, 2018 sourceExperimental — accuracy not yet measured
The Discussion (page unavailable) reports substantial Facebook interaction and suggests that participants unable to attend in-person sessions may have remained connected through the group. It also cautions that Facebook use may not indicate overall program engagement; the Results report no significant attendance difference. The paper does not identify health concerns or competing demands as reasons for missed sessions. (LLM, conf=0.86)
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“and a 3.2 times greater odds of having high levels of anxiety symptoms (Primack et al., 2017).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Challenges with Social Media for Mental Health > Impact on Symptoms
What the sources say
- Supportedcites Primack et al., 2017 source
The Abstract’s Results report an adjusted odds ratio of 3.2 for increased anxiety symptoms among respondents using 7–11 sites compared with those using 0–2. The detailed Results section reports a similar estimate of 3.3 in its fully adjusted model. (LLM, conf=0.92)
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“A survey of social media users with mental illness found that most respondents were interested in accessing programs for mental health on social media targeting symptom management, health promotion, and support for communicating with health care providers and interacting with the health system (Naslund et al., 2017).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Discussion
What the sources say
- Supportedcites Naslund et al., 2017 source
The Results section (‘Interest in programs for mental health on social media’) reports that 85% of respondents were interested in programs delivered through social media. Among those interested, majorities selected programs for coping with symptoms (90%), promoting health and wellbeing (72%), and learning to talk to doctors and use the health care system (60%). (LLM, conf=0.94)
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Several studies have also demonstrated that when compared to a control group, Twitter users with a self-disclosed diagnosis of schizophrenia show unique online communication patterns (Michael L Birnbaum, Ernala, Rizvi, De Choudhury, & Kane, 2017), including more frequent discussion of tobacco use (Hswen et al., 2017), symptoms of depression and anxiety (Hswen, Naslund, Brownstein, & Hawkins, 2018b”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Future Directions for Social Media and Mental Health
What the sources say
- Supportedcites Michael L Birnbaum, Ernala, Rizvi, De Choudhury, & Kane, 2017 source
The Methods describe Twitter users who self-disclosed schizophrenia and a control group. The Results (Linguistic Characteristics; no page number available) compare the groups, and the reported results identify significant differences in their language use. (LLM, conf=0.93)
boostedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Several studies have also demonstrated that when compared to a control group, Twitter users with a self-disclosed diagnosis of schizophrenia show unique online communication patterns (Michael L Birnbaum, Ernala, Rizvi, De Choudhury, & Kane, 2017), including more frequent discussion of tobacco use (Hswen et al., 2017), symptoms of depression and anxiety (Hswen, Naslund, Brownstein, & Hawkins, 2018b”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Future Directions for Social Media and Mental Health
What the sources say
- Supportedcites Hswen, Naslund, Brownstein, & Hawkins, 2018b source
The Discussion reports that Twitter users who self-identified as having schizophrenia tweeted about depression and anxiety significantly more often than a randomly selected control group. This supports the attributed claim about more frequent discussion of those symptoms. (LLM, conf=0.94)
boostedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Social media use also appears to have a differential impact on mental health and emotional wellbeing between females and males (Booker, Kelly, & Sacker, 2018)”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Discussion
What the sources say
- Supportedcites Booker, Kelly, & Sacker, 2018 source
The Discussion reports stark gender differences in the association between social media interaction and well-being: greater interaction at age 10 was associated with worsening socio-emotional difficulties among females, but no comparable cross-association was found among males. The citing sentence’s “appears” is consistent with the paper’s cautious treatment of causality. (LLM, conf=0.90)
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
The cited sources that could be checked couldn’t confirm or dispute this claim.
In the paper
“Given that most people access social media via mobile devices, digital phenotyping and social media are closely related (Torous et al., 2019).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Future Directions for Social Media and Mental Health
What the sources say
- Could not verifycites Torous et al., 2019 sourceExperimental — accuracy not yet measured
The ‘Unmet Needs for the Digital Mental Health Field’ section discusses smartphone sensing and digital phenotyping, but does not say how most people access social media. Searches for social-media use and mobile-device access found no passage addressing that claim; page numbers were unavailable in our copy. (LLM, conf=0.74)
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Could not verify
Every source the paper cites for this claim was checked and supports it.
In the paper
“Research has found that individuals living with mental illness have expressed interest in accessing mental health services through social media platforms.”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Discussion
What the sources say
- Supportedcites Naslund et al., 2017 source
The Discussion reports that 85% of surveyed participants who self-identified as having a mental illness expressed interest in programs delivered through social media. The paper describes the findings as exploratory, but they support the citing sentence’s statement that such individuals have expressed interest. (LLM, conf=0.94)
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“As highlighted in this commentary, social media has become an important part of the lives of many individuals living with mental disorders.”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Conclusion
What the sources say
- Not checked — no full text of the sourcecites Bucci et al., 2019 source
- Not checked — no full text of the sourcecites Highton-Williamson et al., 2015 source
- Supportedcites Naslund, Aschbrenner, et al., 2016b source
The paper’s discussion of online peer-to-peer support says that individuals with serious mental illness are increasingly turning to social media to discuss their experiences, seek advice, and support one another. It also describes online forums as important venues for discussing mental health conditions. No page number is provided in our copy. (LLM, conf=0.90)
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Every source the paper cites for this claim was checked and supports it.
In the paper
“Several studies have also demonstrated that when compared to a control group, Twitter users with a self-disclosed diagnosis of schizophrenia show unique online communication patterns (Michael L Birnbaum, Ernala, Rizvi, De Choudhury, & Kane, 2017), including more frequent discussion of tobacco use (Hswen et al., 2017), symptoms of depression and anxiety (Hswen, Naslund, Brownstein, & Hawkins, 2018b”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Future Directions for Social Media and Mental Health
What the sources say
- Supportedcites Hswen, Naslund, Brownstein, & Hawkins, 2018a source
The Results (‘Tweets About Suicide’; page not provided) report that Twitter users who self-identified as having schizophrenia posted significantly more tweets about suicide than control users. They also had greater odds of tweeting about suicide. (LLM, conf=0.94)
boostedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Several studies have also demonstrated that when compared to a control group, Twitter users with a self-disclosed diagnosis of schizophrenia show unique online communication patterns (Michael L Birnbaum, Ernala, Rizvi, De Choudhury, & Kane, 2017), including more frequent discussion of tobacco use (Hswen et al., 2017), symptoms of depression and anxiety (Hswen, Naslund, Brownstein, & Hawkins, 2018b”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Future Directions for Social Media and Mental Health
What the sources say
- Supportedcites Hswen et al., 2017 source
The Results (section 3.2, Tweets about tobacco) report that users who self-identified as having schizophrenia posted more tweets containing tobacco-related terms than control users (mean 3.74 versus 0.82). The Discussion (section 4) likewise says they appeared to tweet about tobacco more often. (LLM, conf=0.94)
boostedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“For instance, data is typically captured from social media platforms without the consent or awareness of users (Bidargaddi et al., 2017), which is especially crucial when the data relates to a socially stigmatizing health condition such as mental illness (Guntuku, Yaden, Kern, Ungar, & Eichstaedt, 2017).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Future Directions for Social Media and Mental Health
What the sources say
- Partly supportedcites Bidargaddi et al., 2017 sourceExperimental — accuracy not yet measured
In “What are digital footprints?” (page unavailable), the paper identifies social-media activity as a source of passively generated data. “Ethical challenges” says commercial data were not purposely collected with prior consent for mental-health use, and “Data collection from different sources” says users often have little understanding or control of their digital footprints. It does not establish that social-media data are typically captured without users’ consent or awareness; lack of consent for mental-health use is narrower than lack of consent to collection. (LLM, conf=0.83)
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Partly supported
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“In recognizing that many individuals living with mental illness use social media to search for information about their mental health, it is possible that they may also want to ask their clinicians about what they find online to check if the information is reliable and trustworthy.”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Future Directions for Social Media and Mental Health
What the sources say
- Not checked — no full text of the sourcecites Bucci et al., 2019 source
- Not checked — no full text of the sourcecites Highton-Williamson et al., 2015 source
- Supportedcites Naslund, Aschbrenner, et al., 2016b source
The paper states that individuals with serious mental illness increasingly turn to social media to seek advice and learn from others. Its ‘Online peer-to-peer support and mental illness’ section also discusses users who seek health information online. The citing sentence’s suggestion that they may ask clinicians about what they find is not attributed to this source. (LLM, conf=0.90)
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“Many of these individuals use social media to share their lived experiences with mental illness, to seek support from others, and to search for information about treatment recommendations, accessing mental health services, and coping with symptoms (Bucci et al., 2019; Highton-Williamson et al., 2015; Naslund, Aschbrenner, et al., 2016b).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Conclusion
What the sources say
- Not checked — no full text of the sourcecites Bucci et al., 2019 source
- Not checked — no full text of the sourcecites Highton-Williamson et al., 2015 source
- Supportedcites Naslund, Aschbrenner, et al., 2016b source
The paper states that individuals with serious mental illnesses are increasingly using social media to talk about their illness experiences. This directly supports the attributed claim about sharing lived experiences, though the paper specifically discusses serious mental illness. (LLM, conf=0.93)
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Every source the paper cites for this claim was checked and supports it.
In the paper
“found that over one third of participants expressed concerns about privacy when using social media (Naslund & Aschbrenner, 2019)”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Challenges with Social Media for Mental Health > Consequences for Daily Life
What the sources say
- Supportedcites Naslund & Aschbrenner, 2019 source
The Results (Privacy Risks) report that 32 of 90 respondents (36%) expressed concerns about privacy risks when using social media for something related to their mental illness. That is over one third, as claimed. (LLM, conf=0.95)
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“Many of these individuals use social media to share their lived experiences with mental illness, to seek support from others, and to search for information about treatment recommendations, accessing mental health services, and coping with symptoms (Bucci et al., 2019; Highton-Williamson et al., 2015; Naslund, Aschbrenner, et al., 2016b).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Conclusion
What the sources say
- Not checked — no full text of the sourcecites Bucci et al., 2019 source
- Not checked — no full text of the sourcecites Highton-Williamson et al., 2015 source
- Supportedcites Naslund, Aschbrenner, et al., 2016b source
The passage labeled Abstract > Conclusion says that individuals with serious mental illnesses are turning to social media to discuss their experiences, seek advice, and support one another. This directly supports the attributed point that people living with mental disorders use social media to seek support. (LLM, conf=0.91)
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“Many of these individuals use social media to share their lived experiences with mental illness, to seek support from others, and to search for information about treatment recommendations, accessing mental health services, and coping with symptoms (Bucci et al., 2019; Highton-Williamson et al., 2015; Naslund, Aschbrenner, et al., 2016b).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Conclusion
What the sources say
- Not checked — no full text of the sourcecites Bucci et al., 2019 source
- Not checked — no full text of the sourcecites Highton-Williamson et al., 2015 source
- Supportedcites Naslund, Aschbrenner, et al., 2016b source
The paper’s discussion of online peer-to-peer support says people with serious mental illness seek information about symptoms and medications and share coping strategies. In “Increase consumer activation” (page unavailable), it also describes discussions of medications, navigating the health care system, and finding a doctor, and reports that many sought formal care after searching or discussing concerns with peers online. Together, these support the paraphrase. (LLM, conf=0.86)
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Most of the studies that we described were from the United States, as well as from other higher income settings such as Australia or the United Kingdom.”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Discussion
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“Across the United States and globally, very few people living with mental illness have access to adequate mental health services (Patel et al., 2018).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Introduction
What the sources say
- Not checked — no full text of the sourcecites Patel et al., 2018 source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The wide reach and near ubiquitous use of social media platforms may afford novel opportunities to address these shortfalls in existing mental health care, by enhancing the quality, availability, and reach of services.”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Introduction
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: unclear — It is unclear whether it could be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“Initial studies exploring use of online self-help forums among individuals with serious mental illnesses have found that individuals with schizophrenia appeared to use these forums for self-disclosure, and sharing personal experiences, in addition to providing or requesting information, describing symptoms, or discussing medication (Haker, Lauber, & Rössler, 2005)”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Access to a Peer Support Network
What the sources say
- Not checked — no full text of the sourcecites Haker, Lauber, & Rössler, 2005 source
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“thus, potentially reinforcing the relative advantage, as perceived by users, of using social media over in person conversations.”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Facilitate Social Interaction
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“as well as greater civic engagement, reflected as voting in local elections (Brusilovskiy et al., 2016).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Facilitate Social Interaction
What the sources say
- Not checked — no full text of the sourcecites Brusilovskiy et al., 2016 source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“Among individuals receiving publicly funded mental health services who use social media, nearly half (47%) reported using these platforms at least weekly to feel less alone (Brusilovskiy, Townley, Snethen, & Salzer, 2016).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Facilitate Social Interaction
What the sources say
- Not checked — no full text of the sourcecites Brusilovskiy, Townley, Snethen, & Salzer, 2016 source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“This was suggested in one study where participants with schizophrenia indicated that social media helped them to interact and socialize more easily (Miller et al., 2015).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Facilitate Social Interaction
What the sources say
- Not checked — no full text of the sourcecites Miller et al., 2015 source
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“of which 79% reported at least once-a-week usage of social media websites (Miller, Stewart, Schrimsher, Peeples, & Buckley, 2015).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health
What the sources say
- Not checked — no full text of the sourcecites Miller, Stewart, Schrimsher, Peeples, & Buckley, 2015 source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“In another study of young adults with serious mental illness, most indicated that they used social media to help feel less isolated (Gowen et al., 2012).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Facilitate Social Interaction
What the sources say
- Not checked — no full text of the sourcecites Gowen et al., 2012 source
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This on demand ease of communication may be especially important for facilitating social interaction among individuals with mental disorders experiencing difficulties interacting in face-to-face settings.”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Facilitate Social Interaction
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Rests on an assumption: Social media platforms offer near continuous opportunities to connect and interact with others, regardless of time of day or geographic location.
In the paper
“Emerging research also shows that young people with moderate to severe depressive symptoms appear to prefer communicating on social media rather than in-person (Rideout & Fox, 2018)”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Facilitate Social Interaction
What the sources say
- Not matchedcites Rideout & Fox, 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Not matched
In the paper
“more frequent use of social media among a sample of individuals with serious mental illness was associated with greater community participation, measured as participation in shopping, work, religious activities or visiting friends and family”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Facilitate Social Interaction
What the sources say
- Not checked — no full text of the sourcecites Brusilovskiy et al., 2016 source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“individuals living with serious mental disorders typically have few social contacts in the offline world”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Facilitate Social Interaction
What the sources say
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“while 47% of inpatients and outpatients with schizophrenia reported using social media”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health
What the sources say
- Not checked — no full text of the sourcecites Miller, Stewart, Schrimsher, Peeples, & Buckley, 2015 source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“and also experience high rates of loneliness (Badcock et al., 2015; Giacco, Palumbo, Strappelli, Catapano, & Priebe, 2016).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Facilitate Social Interaction
What the sources say
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“Similar results, with 68% of those with first episode psychosis using social media daily were reported in another study (Abdel-Baki, Lal, D.-Charron, Stip, & Kara, 2017).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health
What the sources say
- Not checked — no full text of the sourcecites Abdel-Baki, Lal, D.-Charron, Stip, & Kara, 2017 source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“Like other online communication, the ability to connect with others anonymously may be an important feature of social media, especially for individuals living with highly stigmatizing health conditions (Berger, Wagner, & Baker, 2005), such as serious mental disorders (Highton-Williamson, Priebe, & Giacco, 2015).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Facilitate Social Interaction
What the sources say
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“Because social media does not require the immediate responses necessary in face-to-face communication, it may overcome deficits with social interaction due to psychotic symptoms that typically adversely affect face-to-face conversations (Docherty et al., 1996).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Facilitate Social Interaction
What the sources say
- Not checked — no full text of the sourcecites Docherty et al., 1996 source
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Rests on an assumption: Social media does not require the immediate responses necessary in face-to-face communication.
In the paper
“while users with bipolar disorder reported using these forums to ask for help from others about their illness (Vayreda & Antaki, 2009).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Access to a Peer Support Network
What the sources say
- Not checked — no full text of the sourcecites Vayreda & Antaki, 2009 source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“social media may facilitate communication and interacting with others for these individuals (Torous & Keshavan, 2016).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Facilitate Social Interaction
What the sources say
- Not checked — no full text of the sourcecites Torous & Keshavan, 2016 source
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“Online social interactions may not require the use of non-verbal cues, particularly in the initial stages of interaction (Kiesler, Siegel, & McGuire, 1984)”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Facilitate Social Interaction
What the sources say
- Not checked — no full text of the sourcecites Kiesler, Siegel, & McGuire, 1984 source
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“impaired social functioning is a common deficit in schizophrenia spectrum disorders”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Facilitate Social Interaction
What the sources say
- Not checked — no full text of the sourcecites Torous & Keshavan, 2016 source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“Many individuals living with mental disorders have expressed interest in using social media platforms for seeking mental health information (Lal, Nguyen, & Theriault, 2018)”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Promote Engagement and Retention in Services
What the sources say
- Not checked — no full text of the sourcecites Lal, Nguyen, & Theriault, 2018 source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“among respondents who reported more time accessing media such as social media platforms or smartphone devices, there was significantly greater depressive symptoms and increased risk of suicide when compared to adolescents who reported spending more time on non-screen activities”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Challenges with Social Media for Mental Health > Impact on Symptoms
What the sources say
- Not checked — no full text of the sourcecites Twenge, Joiner, Rogers, & Martin, 2018 source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Taken together, these studies offer insights about the potential for social media to facilitate access to an informal peer support network, though more research is necessary to examine how these online interactions may impact intentions to seek care, illness self-management, and clinically meaningful outcomes in offline contexts.”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Access to a Peer Support Network
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“and it is now possible to use social media to counter such.”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Promote Engagement and Retention in Services
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“cyberbullying on social media consistently shows harmful impact on mental health in the form of increased depressive symptoms as well as worsening of anxiety symptoms, as evidenced in a review of 36 studies among children and young people (Hamm et al., 2015)”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Challenges with Social Media for Mental Health > Facing Hostile Interactions
What the sources say
- Not checked — no full text of the sourcecites Hamm et al., 2015 source
boosteddirectn = 36- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“Other early efforts have demonstrated that use of digital environments with the interactive peer-to-peer features of social media can enhance social functioning and wellbeing in young people at high risk of psychosis (Alvarez-Jimenez et al., 2018).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Promote Engagement and Retention in Services
What the sources say
- Not checked — no full text of the sourcecites Alvarez-Jimenez et al., 2018 source
boosteddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“With the widespread use of social media among individuals living with mental illness combined with the potential to facilitate social interaction and connect with supportive peers, as summarized above, it may be possible to leverage the popular features of social media to enhance existing mental health programs and services.”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Promote Engagement and Retention in Services
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Rests on an assumption: Social media is widely used among individuals living with mental illness.
In the paper
“Among digital programs that have incorporated peer-to-peer social networking consistent with popular features on social media platforms, a pilot study of the HORYZONS online psychosocial intervention demonstrated significant reductions in depression among patients with first episode psychosis (Alvarez-Jimenez et al., 2013).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Promote Engagement and Retention in Services
What the sources say
- Not checked — no full text of the sourcecites Alvarez-Jimenez et al., 2013 source
boosteddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“research showing greater risk of hostility, including increased violence and discrimination, directed towards individuals living with mental illness in in-person contexts, especially targeted at those with severe mental illnesses (Goodman et al., 1999)”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Challenges with Social Media for Mental Health > Facing Hostile Interactions
What the sources say
- Not checked — no full text of the sourcecites Goodman et al., 1999 source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“one longitudinal study in Switzerland found that cyberbullying contributed to significantly greater depression over time (Machmutow, Perren, Sticca, & Alsaker, 2012)”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Challenges with Social Media for Mental Health > Facing Hostile Interactions
What the sources say
- Not checked — no full text of the sourcecites Machmutow, Perren, Sticca, & Alsaker, 2012 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Social media platforms could also be used to promote engagement and participation in in-person services delivered through community mental health settings.”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Promote Engagement and Retention in Services
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“among respondents who reported more time accessing media such as social media platforms or smartphone devices, there was significantly greater depressive symptoms and increased risk of suicide when compared to adolescents who reported spending more time on non-screen activities”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Challenges with Social Media for Mental Health > Impact on Symptoms
What the sources say
- Not checked — no full text of the sourcecites Twenge, Joiner, Rogers, & Martin, 2018 source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This may partly be driven by the detrimental effects of screen time on mental health, including increased severity of anxiety and depressive symptoms, which have been well documented (Stiglic & Viner, 2019).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Challenges with Social Media for Mental Health > Impact on Symptoms
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“For youth ages 10 to 17 who reported major depressive symptomatology, there was over 3 times greater odds of facing online harassment in the last year compared to youth who reported mild or no depressive symptoms (Ybarra, 2004)”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Challenges with Social Media for Mental Health > Facing Hostile Interactions
What the sources say
- Not checked — no full text of the sourcecites Ybarra, 2004 source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“Most studies report cross-sectional associations between cyberbullying and symptoms of depression or anxiety (Hamm et al., 2015)”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Challenges with Social Media for Mental Health > Facing Hostile Interactions
What the sources say
- Not checked — no full text of the sourcecites Hamm et al., 2015 source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“In a study of young adults, it was found that negative comparisons with others on Facebook contributed to risk of rumination and subsequent increases in depression symptoms (Feinstein et al., 2013).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Challenges with Social Media for Mental Health > Impact on Symptoms
What the sources say
- Not checked — no full text of the sourcecites Feinstein et al., 2013 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“respondents ages 14 to 22 with moderate to severe depressive symptoms were more likely to have had negative experiences when using social media, and in particular, were more likely to report having faced hostile comments, or being “trolled”, from others when compared to respondents without depressive symptoms (31% vs. 14%) (Rideout & Fox, 2018)”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Challenges with Social Media for Mental Health > Facing Hostile Interactions
What the sources say
- Not matchedcites Rideout & Fox, 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Not matched
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“These examples highlight the promise of incorporating the features of popular social media into existing programs, which may offer opportunities to safely promote engagement and program retention, while achieving improved clinical outcomes.”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Promote Engagement and Retention in Services
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“More time spent using social media is also associated with greater symptoms of anxiety (Vannucci, Flannery, & Ohannessian, 2017).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Challenges with Social Media for Mental Health > Impact on Symptoms
What the sources say
- Not checked — no full text of the sourcecites Vannucci, Flannery, & Ohannessian, 2017 source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“can result in serious consequences for daily life, including threats to employment and personal relationships”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Discussion
plainconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“Specifically, conversations on Twitter have been analyzed to characterize the onset of depression (De Choudhury, Gamon, Counts, & Horvitz, 2013) as well as detecting users’ mood and affective states (De Choudhury, Gamon, & Counts, 2012), while photos posted to Instagram can yield insights for predicting depression (Reece & Danforth, 2017).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Future Directions for Social Media and Mental Health
What the sources say
- Not matchedcites De Choudhury, Gamon, & Counts, 2012
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Not matched
In the paper
“Specifically, conversations on Twitter have been analyzed to characterize the onset of depression (De Choudhury, Gamon, Counts, & Horvitz, 2013) as well as detecting users’ mood and affective states (De Choudhury, Gamon, & Counts, 2012), while photos posted to Instagram can yield insights for predicting depression (Reece & Danforth, 2017).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Future Directions for Social Media and Mental Health
What the sources say
- Not matchedcites Reece & Danforth, 2017
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Not matched
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“use of these platforms may contribute to risks that extend beyond worsening symptoms and that can affect different aspects of daily life”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Challenges with Social Media for Mental Health > Consequences for Daily Life
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Rests on an assumption: Few studies have specifically explored the dangers of social media use from the perspectives of individuals living with mental illness.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We found many studies that highlighted risks associated with social media use for individuals living with mental illness; however, few studies of programs or interventions reported negative findings, suggesting the possibility that negative findings may go unpublished.”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Discussion
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Given that most people access social media via mobile devices, digital phenotyping and social media are closely related (Torous et al., 2019).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Future Directions for Social Media and Mental Health
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“To date, the emergence of machine learning, a powerful computational method involving statistical and mathematical algorithms (Shatte, Hutchinson, & Teague, 2019), has made it possible to study large quantities of data captured from popular social media platforms such as Twitter or Instagram to illuminate various features of mental health (Manikonda & De Choudhury, 2017; Reece et al., 2017).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Future Directions for Social Media and Mental Health
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“can potentially expose individuals to hurtful content and hostile interactions”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Discussion
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“For instance, data is typically captured from social media platforms without the consent or awareness of users (Bidargaddi et al., 2017), which is especially crucial when the data relates to a socially stigmatizing health condition such as mental illness (Guntuku, Yaden, Kern, Ungar, & Eichstaedt, 2017).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Future Directions for Social Media and Mental Health
What the sources say
- Not checked — no full text of the sourcecites Guntuku, Yaden, Kern, Ungar, & Eichstaedt, 2017 source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Rests on an assumption: Mental illness is a socially stigmatizing health condition.
In the paper
“reports have described risks of social media use pertaining to privacy, confidentiality, and unintended consequences of disclosing personal health information online (Torous & Keshavan, 2016)”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Challenges with Social Media for Mental Health > Consequences for Daily Life
What the sources say
- Not checked — no full text of the sourcecites Torous & Keshavan, 2016 source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“With research increasingly showing the valuable insights that social media data can yield about mental health states, greater attention to the ethical concerns with using individual data in this way is necessary (Chancellor, Birnbaum, Caine, Silenzio, & De Choudhury, 2019).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Future Directions for Social Media and Mental Health
boostedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“it is clear from the studies summarized here that social media use can have negative effects on mental health symptoms”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Discussion
boostedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Rests on an assumption: The associations between social media use and mental health symptoms observed in the summarized studies reflect causal effects of social media use.
In the paper
“Specifically, conversations on Twitter have been analyzed to characterize the onset of depression (De Choudhury, Gamon, Counts, & Horvitz, 2013) as well as detecting users’ mood and affective states (De Choudhury, Gamon, & Counts, 2012), while photos posted to Instagram can yield insights for predicting depression (Reece & Danforth, 2017).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Future Directions for Social Media and Mental Health
What the sources say
- Not matchedcites De Choudhury, Gamon, Counts, & Horvitz, 2013
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Not matched
In the paper
“A recent study found that exposure to traumatic online content on social media showing violence or hateful posts directed at racial minorities contributed to increases in psychological distress, PTSD symptoms, and depression among African American and Latinx adolescents in the United States (Tynes, Willis, Stewart, & Hamilton, 2019).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Discussion
What the sources say
- Not checked — no full text of the sourcecites Tynes, Willis, Stewart, & Hamilton, 2019 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“Another study found that online disclosures about mental illness appeared beneficial as reflected by fewer posts about symptoms following self-disclosure (Ernala, Rizvi, Birnbaum, Kane, & De Choudhury, 2017).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Future Directions for Social Media and Mental Health
What the sources say
- Not checked — no full text of the sourcecites Ernala, Rizvi, Birnbaum, Kane, & De Choudhury, 2017 source
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Each of these examples offers early insights into the potential to leverage widely available online data for better understanding the onset and course of mental illness.”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Future Directions for Social Media and Mental Health
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“there did not appear to be any differences between racial or ethnic groups in social media use for seeking mental health information (Rideout & Fox, 2018)”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Discussion
What the sources say
- Not matchedcites Rideout & Fox, 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Not matched
- It may state two separate claims as one. 37
- Probably not a substantial claim. 12
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“Other exploratory studies have found that many of these individuals with mental illness appear to turn to social media to share their personal experiences, seek information about their mental health and treatment options, and give and receive support from others facing similar mental health challenges”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Introduction
What the sources say
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Studies have reported that individuals living with a range of mental disorders, including depression, psychotic disorders, or other severe mental illnesses, use social media platforms at comparable rates as the general population”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Introduction
What the sources say
- Partly supportedcites Aschbrenner, Naslund, Grinley, et al., 2018 sourceExperimental — accuracy not yet measured
The Results and Discussion report that social media use among peer support agency users with mental illness was comparable to use in the general adult population; the Discussion gives a rate of 72%. Our copy does not establish the claimed range up to 97% among younger people or comparable rates separately for depression and psychotic disorders. The supplied verbatim citing sentence does not include the age-specific percentages. (LLM, conf=0.86)
- Partly supportedcites M. L. Birnbaum et al., 2017 sourceExperimental — accuracy not yet measured
The Introduction (page unavailable) says that individuals with mental illness regularly use social media and that youth with newly diagnosed schizophrenia use it frequently. It does not establish comparable usage rates with the general population or report the claimed 70%–97% age-based range. (LLM, conf=0.85)
- Partly supportedcites Brunette et al., 2019 sourceExperimental — accuracy not yet measured
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“However, there remains uncertainty regarding the risks and potential harms of social media for mental health (Orben & Przybylski, 2019), and how best to weigh these concerns against potential benefits.”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Introduction
What the sources say
- Supportedcites Orben & Przybylski, 2019 source
The Discussion (pp. 11–14) says the possible negative impact of adolescents’ digital technology use on well-being remains uncertain: the analyses cannot establish whether technology use causes lower well-being. The Methods (p. 18) explicitly include social media use among the technology measures. The citation is attached to uncertainty about harms, not to the subsequent question of weighing harms against benefits. (LLM, conf=0.88)
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Similarly, in a sample of adolescents ages 13-18 recruited from community mental health centers, 98% reported using social media, with YouTube as the most popular platform, followed by Instagram and Snapchat (Aschbrenner et al., 2019).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health
What the sources say
- Supportedcites Aschbrenner et al., 2019 source
The Results report 121 respondents aged 13–18 at four community mental health centers and state that 98% used social media. Table 1 in the Results ranks YouTube first (90%), followed by Instagram (78%) and Snapchat (76%). (LLM, conf=0.95)
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“For adolescents and young adults ages 12 to 21 with psychotic disorders and mood disorders, over 97% reported using social media, with average use exceeding 2.5 hours per day (M. L. Birnbaum et al., 2017).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health
What the sources say
- Partly supportedcites M. L. Birnbaum et al., 2017 sourceExperimental — accuracy not yet measured
The Introduction says youth with newly diagnosed schizophrenia use social media frequently and spend several hours per day online. It does not give the claimed figure of over 97%, specify ages 12–21, or report average use exceeding 2.5 hours per day for a group including youth with mood disorders. No page number is available in our copy. (LLM, conf=0.86)
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“In a content analysis of comments posted to YouTube by individuals who self-identified as having a serious mental illness, there appeared to be opportunities to feel less alone, provide hope, find support and learn through mutual reciprocity, and share coping strategies for day-to-day challenges of living with a mental illness (Naslund, Grande, Aschbrenner, & Elwyn, 2014).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Access to a Peer Support Network
What the sources say
- Supportedcites Naslund, Grande, Aschbrenner, & Elwyn, 2014 source
Split into 2 atoms — 2 confirmed, 0 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“as reflected in a study with data from 2017 showing comparable rates of social media use (approximately 70%) among individuals with serious mental illness in treatment as compared to low-income groups from the general population (Brunette et al., 2019).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health
What the sources say
- Supportedcites Brunette et al., 2019 source
The Methods section says the survey included 403 people in treatment for serious mental illness in fall 2017. The Results report 67.9% social-media use and say respondents’ Facebook use was similar to that of low-income adults. Page numbers are unavailable in our copy. (LLM, conf=0.92)
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“females were twice as likely to be victims of cyberbullying compared to males (Alhajji, Bass, & Dai, 2019)”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Challenges with Social Media for Mental Health > Facing Hostile Interactions
What the sources say
- Supportedcites Alhajji, Bass, & Dai, 2019 source
The Abstract reports that, in a nationally representative sample of US students in grades 9–12, females were twice as likely to report cyberbullying victimization as males. The Discussion likewise describes females as having twice the odds of being cyberbullied. (LLM, conf=0.94)
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“while stigmatizing content was rare, it was actually the most spread (re-tweeted) demonstrating that harmful content can travel quickly on social media (Saha et al., 2019)”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Challenges with Social Media for Mental Health > Facing Hostile Interactions
What the sources say
- Supportedcites Saha et al., 2019 source
The Discussion states that stigmatizing content was relatively small in volume compared with other categories but had the highest engagement in retweets and favorites per Twitter post. It also describes this as higher social diffusion, supporting the claim about its spread. (LLM, conf=0.94)
boostedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“A recent review by Biagianti et al (2018) found that peer-to-peer support appeared to offer feasible and acceptable ways to augment digital mental health interventions for individuals with psychotic disorders by specifically improving engagement, compliance, and adherence to the interventions, and may also improve perceived social support (Biagianti, Quraishi, & Schlosser, 2018).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Promote Engagement and Retention in Services
What the sources say
- Partly supportedcites Biagianti, Quraishi, & Schlosser, 2018 sourceExperimental — accuracy not yet measured
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“This may partly be driven by the detrimental effects of screen time on mental health, including increased severity of anxiety and depressive symptoms, which have been well documented (Stiglic & Viner, 2019).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Challenges with Social Media for Mental Health > Impact on Symptoms
What the sources say
- Partly supportedcites Stiglic & Viner, 2019 sourceExperimental — accuracy not yet measured
The Results section (Mental health and well-being) reports moderately strong evidence of an association between screen time and depressive symptoms, but only weak evidence for an association with anxiety. The paper describes associations rather than establishing that screen time causes increased symptom severity, so the claim overstates the evidence, particularly for anxiety. (LLM, conf=0.88)
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Importantly, individuals with serious mental illness have also emphasized that any mental health intervention on social media would need to be moderated by someone with adequate training and credentials, would need to have ground rules and ways to promote safety and minimize risks, and importantly, would need to be free and easy to access.”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Discussion
What the sources say
- Partly supportedcites Naslund et al., 2017 sourceExperimental — accuracy not yet measured
The Conclusions (page unavailable) say that privacy risks, harms, and overall safety are critical considerations for social-media mental health programs. But the paper does not report participants emphasizing trained and credentialed moderation, ground rules, or free and easy access as requirements; the Discussion reports their interest in such programs, not those conditions. (LLM, conf=0.83)
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Precautions are needed to ensure that data is not made identifiable in ways that were not originally intended by the user who posted the content, as this could place an individual at risk of harm or divulge sensitive health information (Webb et al., 2017; Williams, Burnap, & Sloan, 2017).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Future Directions for Social Media and Mental Health
What the sources say
- Partly supportedcites Webb et al., 2017 sourceExperimental — accuracy not yet measured
Section 4.3, p. 6, says users may not expect their tweets to be republished for other audiences and that revealing their identities could put them at risk of harm. Section 4.4, p. 7, explains how published tweet text can reveal a user's identity through search. The passages do not support the specific claim about divulging sensitive health information. (LLM, conf=0.87)
- Supportedcites Williams, Burnap, & Sloan, 2017 source
The Introduction (page unavailable) warns that publishing Twitter content can make sensitive personal information identifiable beyond its intended context and expose users to harm. The Discussion (page unavailable) gives suicidal ideation and inferred emotional distress as examples of sensitive information that, if published with identifiable posts, may stigmatise users or cause further harm. (LLM, conf=0.90)
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“these individuals are more likely to experience mental health problems and more likely to experience online victimization when compared to heterosexual individuals (Mereish, Sheskier, Hawthorne, & Goldbach, 2019)”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Discussion
What the sources say
- Partly supportedcites Mereish, Sheskier, Hawthorne, & Goldbach, 2019 sourceExperimental — accuracy not yet measured
The Results ('Depressive symptoms, suicidality, substance use, and victimisation') report higher rates of depressive symptoms and cyber victimisation among Black sexual minority young people than among heterosexual participants. The claim says 'gender minorities,' but the study compares groups by sexual orientation, not gender-minority status. (LLM, conf=0.88)
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Rests on an assumption: Less is known about use of social media for seeking support for mental health concerns among gender minorities.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“The reported risks of social media use were directly related to many aspects of everyday life, including concerns about threats to employment, fear of stigma and being judged, impact on personal relationships, and facing hostility or being hurt (Naslund & Aschbrenner, 2019)”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Challenges with Social Media for Mental Health > Consequences for Daily Life
What the sources say
- Supportedcites Naslund & Aschbrenner, 2019 source
The Results (Qualitative Findings; page not provided) identify the same four categories of concerns reported by participants: threats to employment, fear of stigma and being judged, impact on personal relationships, and facing hostility or being hurt. The study frames these specifically as privacy concerns about using social media for mental health among people with serious mental illness. (LLM, conf=0.95)
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Supported
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We found many studies that highlighted risks associated with social media use for individuals living with mental illness; however, few studies of programs or interventions reported negative findings, suggesting the possibility that negative findings may go unpublished.”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Discussion
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Given this broad objective, we did not perform a systematic search of the literature and we did not apply specific inclusion criteria based on study design or type of mental disorder.”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Introduction
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may state two separate claims as one.
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“Studies have found that individuals with serious mental disorders (Spinzy, Nitzan, Becker, Bloch, & Fennig, 2012) as well as young adults with mental illness (Gowen, Deschaine, Gruttadara, & Markey, 2012) appear to form online relationships and connect with others on social media as often as social media users from the general population.”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Facilitate Social Interaction
What the sources say
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“mental disorders can experience symptoms including passive social withdrawal, blunted affect and attentional impairment, as well as active social avoidance due to hallucinations or other concerns (Hansen, Torgalsbøen, Melle, & Bell, 2009)”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Facilitate Social Interaction
What the sources say
- Not checked — no full text of the sourcecites Hansen, Torgalsbøen, Melle, & Bell, 2009 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“among individuals with serious mental illness receiving community-based mental health services, a recent study found equivalent rates of social media use as the general population, even exceeding 70% of participants (Naslund, Aschbrenner, & Bartels, 2016).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health
What the sources say
- Not matchedcites Naslund, Aschbrenner, & Bartels, 2016
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Not matched
In the paper
“Bauer et al. (2013) reported that the main interest in online self-help forums for patients with bipolar disorder was to share emotions with others, allow exchange of information, and benefit by being part of an online social group (Bauer, Bauer, Spiessl, & Kagerbauer, 2013).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Access to a Peer Support Network
What the sources say
- Not checked — no full text of the sourcecites Bauer, Bauer, Spiessl, & Kagerbauer, 2013 source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Initial studies from 2015 found that nearly half of a sample of psychiatric patients were social media users, with greater use among younger individuals (Trefflich, Kalckreuth, Mergl, & Rummel-Kluge, 2015)”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health
What the sources say
- Not checked — no full text of the sourcecites Trefflich, Kalckreuth, Mergl, & Rummel-Kluge, 2015 source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Specifically, different forms of support emerged, including ‘informational support’ about medication use or contacting mental health providers, ‘esteem support’ involving positive comments for encouragement, ‘network support’ for sharing similar experiences, and ‘emotional support’ to express understanding of a peer’s situation and offer hope or confidence (Chang, 2009).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Access to a Peer Support Network
What the sources say
- Not checked — no full text of the sourcecites Chang, 2009 source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“In 2020, there are an estimated 3.8 billion social media users worldwide, representing half the global population (We Are Social, 2020).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health
What the sources say
- Not matchedcites We Are Social, 2020
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
- Not matched
In the paper
“More recently, in a review of online social networking in people with psychosis, Highton-Williamson et al (2015) highlight that an important purpose of such online connections was to establish new friendships, pursue romantic relationships, maintain existing relationships or reconnect with people, and seek online peer support from others with lived experience (Highton-Williamson et al., 2015).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Access to a Peer Support Network
What the sources say
- Not checked — no full text of the sourcecites Highton-Williamson et al., 2015 source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“with interactions being more fluid, and within the control of users, thereby overcoming possible social anxieties linked to in-person interaction (Indian & Grieve, 2014).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Facilitate Social Interaction
What the sources say
- Not checked — no full text of the sourcecites Indian & Grieve, 2014 source
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Recent studies have reported negative effects of social media use on mental health of young people, including social comparison pressure with others and greater feeling of social isolation after being rejected by others on social media (Rideout & Fox, 2018).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Challenges with Social Media for Mental Health > Impact on Symptoms
What the sources say
- Not matchedcites Rideout & Fox, 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Not matched
In the paper
“Importantly, the majority of participants (95%) in this study engaged with the peer-to-peer networking feature of the program, with many reporting increases in perceived social connectedness and empowerment in their recovery process (Alvarez-Jimenez et al., 2013).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Promote Engagement and Retention in Services
What the sources say
- Not checked — no full text of the sourcecites Alvarez-Jimenez et al., 2013 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Yet, reported negative effects were an increased exposure to harm, social isolation, depressive symptoms and bullying (Best et al., 2014).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Challenges with Social Media for Mental Health
What the sources say
- Not checked — no full text of the sourcecites Best et al., 2014 source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“In a review of 43 studies in young people, many benefits of social media were cited, including increased self-esteem, and opportunities for self-disclosure (Best, Manktelow, & Taylor, 2014).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Challenges with Social Media for Mental Health
What the sources say
- Not checked — no full text of the sourcecites Best, Manktelow, & Taylor, 2014 source
plaindirectn = 43- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“It is hard to estimate a number needed to treat or harm today given the nascent state of research, which means the patient and clinician need to weigh the choice on a personal level.”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Future Directions for Social Media and Mental Health
plain- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may be too vague to check against evidence.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Additionally, we only summarized published studies, and as a result, any reports from the private sector or websites from different organizations using social media or other apps containing social media-like features would have been omitted.”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Discussion
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“As we consider future research directions, the near ubiquitous social media use also yields new opportunities to study the onset and manifestation of mental health symptoms and illness severity earlier than traditional clinical assessments.”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Future Directions for Social Media and Mental Health
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
- Rests on an assumption: Social media use is near ubiquitous.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Despite the global reach of social media platforms, there is a dearth of research on the impact of these platforms on the mental health of individuals in diverse settings, as well as the ways in which social media could support mental health services in lower income countries where there is virtually no access to mental health providers.”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Discussion
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Rests on an assumption: Social media platforms have global reach.
- Rests on an assumption: Lower income countries have virtually no access to mental health providers.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Importantly, as we aimed to address this broad objective, we did not conduct a systematic review of the literature.”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Discussion
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“existing research looking at duration of exposure cannot account for the impact of specific types of content on mental health and is insufficient to fully understand the effects of using these platforms on mental health”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Challenges with Social Media for Mental Health > Facing Hostile Interactions
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Studies reporting on the threats of social media for individuals with mental illness are mostly cross-sectional, making it difficult to draw conclusions about direction of causation.”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Discussion
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: unclear — It is unclear why the paper says it holds.
It may state two separate claims as one.
In the paper
“female respondents were more likely to search online for information about depression or anxiety, and to try to connect with other people online who share similar mental health concerns, when compared to male respondents (Rideout & Fox, 2018)”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Discussion
What the sources say
- Not matchedcites Rideout & Fox, 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Not matched
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Another notable limitation is that we did not assess risk of bias in the studies summarized in this commentary.”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Discussion
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Therefore, the studies reported here are not exhaustive, and there may be additional relevant studies that were not included.”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Discussion
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“This aligns with growing emphasis on the need for greater integration of digital psychiatry, including apps, smartphones, or wearable devices, into patient care and clinical services through institution-wide initiatives and training clinical providers (Hilty, Chan, Torous, Luo, & Boland, 2019).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Future Directions for Social Media and Mental Health
What the sources say
- Not checked — no full text of the sourcecites Hilty, Chan, Torous, Luo, & Boland, 2019 source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“especially as these countries face a disproportionate share of the global burden of mental disorders, yet account for the majority of social media users worldwide (Naslund et al., 2019).”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Discussion
What the sources say
- Not matchedcites Naslund et al., 2019
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
- Not matched
In the paper
“lesbian, gay, bisexual or transgender individuals frequently use social media for searching for health information and may be more likely compared to heterosexual individuals to share their own personal health experiences with others online (Rideout & Fox, 2018)”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Discussion
What the sources say
- Not matchedcites Rideout & Fox, 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Not matched
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“As the field of digital mental health advances, the wide reach, ease of access, and popularity of social media platforms could be used to allow individuals in need of mental health services or facing challenges of mental illness to access evidence-based treatment and support.”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Conclusion
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may be too vague to check against evidence.
- Rests on an assumption: Social media platforms have global reach.
The paper relies on this without support.
Social media platforms offer near continuous opportunities to connect and interact with others, regardless of time of day or geographic location.
“Social media platforms offer near continuous opportunities to connect and interact with others, regardless of time of day or geographic location.”
The paper relies on this without support.
Social media does not require the immediate responses necessary in face-to-face communication.
“Because social media does not require the immediate responses necessary in face-to-face communication”
The paper relies on this without support.
Social media is widely used among individuals living with mental illness.
“With the widespread use of social media among individuals living with mental illness combined with the potential to facilitate social interaction and connect with supportive peers, as summarized above, it may be possible to leverage the popular features of social media to enhance existing mental health programs and services.”
The paper relies on this without support.
The effects of social media on psychiatric symptoms for individuals living with more severe mental illnesses have received less attention.
“For individuals living with more severe mental illnesses, the effects of social media on psychiatric symptoms have received less attention.”
The paper relies on this without support.
Few studies have specifically explored the dangers of social media use from the perspectives of individuals living with mental illness.
“While few studies have specifically explored the dangers of social media use from the perspectives of individuals living with mental illness”
The paper relies on this without support.
Less is known about use of social media for seeking support for mental health concerns among gender minorities.
“Less is known about use of social media for seeking support for mental health concerns among gender minorities”
The paper relies on this without support.
The associations between social media use and mental health symptoms observed in the summarized studies reflect causal effects of social media use.
“Studies reporting on the threats of social media for individuals with mental illness are mostly cross-sectional, making it difficult to draw conclusions about direction of causation.”
The paper relies on this without support.
Social media use is near ubiquitous.
“As we consider future research directions, the near ubiquitous social media use also yields new opportunities to study the onset and manifestation of mental health symptoms and illness severity earlier than traditional clinical assessments.”
The paper relies on this without support.
There is a gap in clinical knowledge about the impact of social media on mental health.
“Given the gap in clinical knowledge about the impact of social media on mental health, clinicians should be aware of the many potential risks so that they can inform their patients, while remaining open to the possibility that their patients may also experience benefits through use of these platforms.”
The paper relies on this without support.
Patients increasingly show interest in accessing mental health information or services through social media.
“As patients increasingly show interest in accessing mental health information or services through social media, it will be necessary for health systems to recognize social media as a potential avenue for reaching or offering support to patients.”
The paper relies on this without support.
Social media platforms have global reach.
“Despite the global reach of social media platforms, there is a dearth of research on the impact of these platforms on the mental health of individuals in diverse settings, as well as the ways in which social media could support mental health services in lower income countries where there is virtually no access to mental health providers.”
The paper relies on this without support.
Lower income countries have virtually no access to mental health providers.
“Despite the global reach of social media platforms, there is a dearth of research on the impact of these platforms on the mental health of individuals in diverse settings, as well as the ways in which social media could support mental health services in lower income countries where there is virtually no access to mental health providers.”
The paper relies on this without support.
Mental illness is a socially stigmatizing health condition.
“For instance, data is typically captured from social media platforms without the consent or awareness of users (Bidargaddi et al., 2017), which is especially crucial when the data relates to a socially stigmatizing health condition such as mental illness (Guntuku, Yaden, Kern, Ungar, & Eichstaedt, 2017).”
The paper relies on this without support.
Many individuals may feel embarrassed or reluctant to talk to their clinicians about using social media to find mental health information out of concerns of being judged or dismissed.
“Alternatively, many individuals may feel embarrassed or reluctant to talk to their clinicians about using social media to find mental health information out of concerns of being judged or dismissed.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“For teens already experiencing social anxiety, the ability to curate and control online interactions may reinforce avoidance behaviors, leading to greater isolation and increased stress during in-person exchanges [46].”
From The Impact of Social Media & Technology on Child and Adolescent Mental Health (2025) · cites this paper as [46]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Online mental health communities provide peer encouragement, psychoeducation, and accessible coping strategies, offering support for individuals struggling with anxiety and depression [46].”
From The Impact of Social Media & Technology on Child and Adolescent Mental Health (2025) · cites this paper as [46]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Online help-seeking seems related to increased anonymity, accessibility, and inclusivity [31], and social media shows benefits for offering mental health care [32].”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Rated minor: it would not touch a result — a value no result rests on, a p-value that stays on the same side of the significance level, or a conflict that is clerical, resolved elsewhere in the paper, or outside its own findings.
In the paper
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > Social Media Use and Mental Health > Promote Engagement and Retention in Services
“(Lal, Nguyen, & Theriault, 2018)”
§ Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice > References
“Lai S, Nguyen V, & Theriault J (2018). Seeking mental health information and support online”
Citations
Cites
The Lancet Commission on global mental health and sustainable development
Patel, V., Saxena, S., Lund, C., Thornicroft, G., Baingana, F., Bolton, P., Chisholm, D., Collins, P. Y., Cooper, J. L., Eaton, J., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)31612-x · Cited by 3,692
Social psychological aspects of computer-mediated communication
Kiesler, S., Siegel, J., & McGuire, T. W. (1984) · American Psychologist · doi:10.1037/0003-066x.39.10.1123 · Cited by 2,630
Moorhead, S. A., Hazlett, D. E., Harrison, L., Carroll, J. K., Irwin, A., & Hoving, C. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.1933 · Cited by 2,517 · cited 4×
“…or misleading health information shared on social media and that social media users may not be aware of misleading information or conflicts of interest especially when the platforms promote popular content regardless of whether it is from a trustworthy source (Moorhead et al. 2013; Ventola 2014).”
BackgroundInfluentialAndreassen, C. S., Billieux, J., Griffiths, M. D., Kuss, D. J., Demetrovics, Z., Mazzoni, E., & Pallesen, S. (2016) · Psychology of Addictive Behaviors · doi:10.1037/adb0000160 · Cited by 2,095
Twenge, J. M., Joiner, T. E., Rogers, M. L., & Martin, G. N. (2018) · Clinical Psychological Science · doi:10.1177/2167702617723376 · Cited by 1,705 · cited 4×
“…(Andreassen et al. 2016; Berry et al. 2018; Best et al. 2014; Feinstein et al. 2013; Kross et al. 2013; Lin et al. 2016; Mittal et al. 2007; Stiglic and Viner 2019; Twenge and Campbell 2018; Twenge et al. 2018; Vannucci et al. 2017; Woods and Scott 2016) 2) Facing hostile interactions •…”
BackgroundInfluentialFacebook Use Predicts Declines in Subjective Well-Being in Young Adults
Kross, E., Verduyn, P., Demiralp, E., Park, J., Lee, D. S., Lin, N., Shablack, H., Jonides, J., & Ybarra, O. (2013) · PLoS ONE · doi:10.1371/journal.pone.0069841 · Cited by 1,596
Predicting Depression via Social Media
Choudhury, M. D., Gamon, M., Counts, S., & Horvitz, E. (2021) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v7i1.14432 · Cited by 1,583 · cited 1×
“Specifically, conversations on Twitter have been analyzed to characterize the onset of depression (De Choudhury et al. 2013) as well as detecting users’ mood and affective states (De Choudhury et al. 2012), while photos posted to Instagram can yield insights for predicting depression (Reece and…”
BackgroundThe association between adolescent well-being and digital technology use
Orben, A., & Przybylski, A. K. (2019) · Nature Human Behaviour · doi:10.1038/s41562-018-0506-1 · Cited by 1,500
Twenge, J. M., & Campbell, W. K. (2018) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2018.10.003 · Cited by 1,304
Woods, H. C., & Scott, H. (2016) · Journal of Adolescence · doi:10.1016/j.adolescence.2016.05.008 · Cited by 1,302
Cited by
Sorted by citations
“The potential of social media in health promotion beyond creating awareness: an integrative review”
Ghahramani, A., de Courten, M., & Prokofieva, M. (2022) · BMC Public Health · doi:10.1186/s12889-022-14885-0 · Cited by 221
Carter, H., Araya, R., Anjur, K. I., Deng, D., & Naslund, J. A. (2020) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2020.12.016 · Cited by 164
Self-citationMachine Learning for Mental Health in Social Media: Bibliometric Study
Kim, J., Lee, D., & Park, E. (2021) · Journal of Medical Internet Research · doi:10.2196/24870 · Cited by 151
“Considering this tendency, social media represents a supportive tool for these individuals [11], where users are allowed to generate content, share information, and communicate [12].”
BackgroundSanzari, C. M., Gorrell, S., Anderson, L. M., Reilly, E. E., Niemiec, M. A., Orloff, N. C., Anderson, D. A., & Hormes, J. M. (2023) · Eating Behaviors · doi:10.1016/j.eatbeh.2023.101722 · Cited by 129
Pretorius, C., McCashin, D., & Coyle, D. (2022) · Internet Interventions · doi:10.1016/j.invent.2022.100591 · Cited by 134
Metadata
- Authors
- Naslund, J. A., Bondre, A., Torous, J., & Aschbrenner, K. A.
- Affiliations
- Harvard University (US)
- Beth Israel Deaconess Medical Center (US)
- Dartmouth College (US)
- Corresponding author
- Naslund, John A.
- Venue
- Journal of Technology in Behavioral Science
- Published
- 2020-04-20
- Volume
- 5
- Issue
- 3
- Pages
- 245-257
- ISSN
- 2366-5963 (ISSN-L)
- PMC
- PMC7785056
- OpenAlex
- W3018892856
- Semantic Scholar
- 4e2eaf6dd4cdf713a8c4616007468aff3bdb0166
- Cited by
- 746
- References
- 107
- Citations by year
- 2026: 166 · 2025: 201 · 2024: 149 · 2023: 109 · 2022: 71 · 2021: 43 · 2020: 6
- FWCI
- 60.41
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Technology in Behavioral Science (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion)
- Funders
- National Institute of Mental Health (U19MH113211, 1R01MH110965)
- Topics
- Social Sciences › Psychology › Social Psychology › Mental Health via Writing
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Keywords
- social media, mental health, peer support, mental illness, digital mental health interventions, evidence-based programs, mental disorder detection, prediction model, machine learning, data science, access to mental health care
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
A language model drew the claims from the paper on 2026-10-20, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-10-20 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
Cited sources are checked with a language model’s help (gpt-6-sol).
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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