Does Social Media Use Increase Depressive Symptoms? A Reverse Causation Perspective
Open accessAbstract
According to the World Health Organization (1), 264 million individuals worldwide suffer from depression—a condition characterized by feelings of low self-worth, impaired concentration, and disturbed sleep, among various other maladaptive symptoms (2). Adolescents between 13 and 18 years of age are also vulnerable (3), with a 52% increase in the prevalence of depression among adolescents from 2005 to 2017 (4). Depression is tied to many serious problems including failure to complete education, higher unplanned parenthood rates, poorer interpersonal relations, and heightened risk of substance abuse and suicidality (5–7).
AI snapshot
Written from the paper’s full text.
TL;DR
This conceptual review argues that the dominant claim that social media use causes depressive symptoms is premature and likely reversed: depressiveness more plausibly drives (problematic) social media use. Drawing on longitudinal and experimental evidence, the authors contend that research should focus on antecedents of maladaptive social media use rather than treating social media as the culprit.
Key findings
- Longitudinal studies cited show that baseline social media frequency did not predict later depressive symptoms (e.g., Jensen et al. over 1–2 years; studies spanning 8–9 years), while depressive symptoms did precede increased social media use (Heffer et al. over 2 and 6 years; Raudsepp & Kais over 2 years; Puukko et al. over 6 years).
- Hampton's longitudinal panel of American adults found social media use was associated with *reduced* psychological distress.
- Experimental manipulations of social media use do not support a depression-causing effect: Hall et al.'s 0/2/3/4-week abstinence study found no change in loneliness or well-being, and Vally & D'Souza found a week of abstinence reduced life satisfaction and increased negative affect and perceived stress.
- A bidirectional/cascading loop is possible: Raudsepp found problematic social media use predicted depressive symptoms over 2 years, and Turel et al. found abstinence reduced perceived stress only for excessive users.
Methods
- Design: narrative/conceptual review (no primary data collection) critically examining longitudinal and experimental literature on the social media–depression link.
- Evidence base: cited longitudinal panel and cohort studies of adolescents, undergraduates, and adults, plus experimental abstinence/limitation studies (e.g., 30-min daily limits over 3 weeks; 1-week abstinence).
- Analysis: qualitative synthesis organized around (1) longitudinal findings on temporal ordering and (2) experimental findings on causality and confounding; supplemented by theoretical arguments (compensatory internet use theory, sociocognitive model of internet addiction, evolutionary social-monitoring perspective).
Limitations
- Stated by the paper: the available data are "meager" given the lack of studies guided by the reverse causal direction; most experimental work manipulates social media use rather than depressiveness; retrospective self-reports of social media use may be biased and underestimate usage; longitudinal studies often use coarse frequency measures and too few time points.
- Evident from the text: this is a selective narrative review rather than a systematic one, and its conclusions rest on the authors' interpretation of cited studies rather than new empirical testing; the paper itself notes the link remains "contentious" and cites contrasting results (e.g., Ferguson; Orben & Przybylski).
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 43 cited sources checked · 0 supported · 0 flagged
- Premisecitation
Hampton showed that social media use was associated with reduced psychological distress due to the social opportunities afforded by social networking sites.
“Further, using a longitudinal panel design on a sample of American adults, Hampton (33) showed that social media use was in fact associated with reduced psychological distress due to the social opportunities afforded by social networking sites.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [33] Hampton, 2019, Social media and change in psychological distress over time: the role of social causation, J Comput Mediat Commun source
Not checked in the free run.
- Premisecitation§ Does Social Media Use Increase Depressive Symptoms? A Reverse Causation Perspective
Individuals who are insecure about being accepted are motivated to seek information that may reaffirm their social status, leading to an obsession with social comparisons and other social diagnostic cues.
“Individuals who are insecure about being accepted are motivated to seek information that may reaffirm their social status, leading to an obsession with social comparisons and other social diagnostic cues (27).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [27] Stiles, 2004, Adverse social comparison processes and negative self-feelings: a test of alternative models, Soc Behav Personality source
Not checked in the free run.
- Premisecitation§ Does Social Media Use Increase Depressive Symptoms? A Reverse Causation Perspective
The evolutionary perspective suggests that social media can hijack our evolved tendency to monitor for social cues and perceive social information as rewarding.
“Thus, the evolutionary perspective suggests that social media can hijack our evolved tendency to monitor for social cues and perceive social information as rewarding (28), and depressed individuals are especially vulnerable to being sucked in by social media as they experience a stronger need to alleviate feelings of insecurity, low self-worth, or hopelessness.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [28] Lim, 2019, Social media source
Not checked in the free run.
- Premisecitation
More prolonged studies spanning 8 or 9 years have corroborated that frequency of social media use does not longitudinally predict depressive symptoms in adolescents even when studied across developmental periods from adolescence to young adulthood.
“More prolonged studies spanning 8 or 9 years have further corroborated the view that frequency of social media use does not longitudinally predict depressive symptoms in adolescents even when studied across developmental periods from adolescence to young adulthood (31, 32).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [31] Coyne, 2020, Does time spent using social media impact mental health? An eight year longitudinal study, Comput Hum Behav source
Not checked in the free run.
- cites [32] Schemer, 2021, The impact of internet and social media use on well-being: a longitudinal analysis of adolescents across nine years, J Comput Mediat Commun source
Not checked in the free run.
- Premisecitation§ Does Social Media Use Increase Depressive Symptoms? A Reverse Causation Perspective
Heavy reliance on correlational data severely limits the ability to infer directionality and argue that exposure to social media causes depression.
“The heavy reliance on correlational data severely limits our ability to infer directionality and argue that exposure to social media causes depression (11, 22).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [11] Brunborg, 2019, Increase in time spent on social media is associated with modest increase in depression, conduct problems, and episodic heavy drinking, J Adolesc source
Not checked in the free run.
- cites [22] Yoon, 2019, Is social network site usage related to depression? A meta-analysis of Facebook–depression relations, J Affect Disord source
Not checked in the free run.
- Interpretationreasoning§ Does Social Media Use Increase Depressive Symptoms? A Reverse Causation Perspective
Depressed individuals are especially vulnerable to being sucked in by social media as they experience a stronger need to alleviate feelings of insecurity, low self-worth, or hopelessness.
“Thus, the evolutionary perspective suggests that social media can hijack our evolved tendency to monitor for social cues and perceive social information as rewarding (28), and depressed individuals are especially vulnerable to being sucked in by social media as they experience a stronger need to alleviate feelings of insecurity, low self-worth, or hopelessness.”
Quote in the paperSubstantial claim - Interpretationreasoning§ Does Social Media Use Increase Depressive Symptoms? A Reverse Causation Perspective
The direction of social media causing depression might instead be reversed, with depressiveness driving social media use.
“Several lines of reasoning also suggest that the direction of social media causing depression might instead be reversed.”
Quote in the paperSubstantial claim - Premisecitation§ Does Social Media Use Increase Depressive Symptoms? A Reverse Causation Perspective
Cross-sectional and correlational trend analyses appear to show increases in depression rates alongside increased social media engagement.
“Cross-sectional and correlational trend analyses appear to show increases in depression rates alongside increased social media engagement [(9, 11–14); also see (15), for a contrasting result].”
Quote in the paperSubstantial claim0 of 6 sources checked- cites [9] Ivie, 2020, A meta-analysis of the association between adolescent social media use and depressive symptoms, J Affect Disord source
Not checked in the free run.
- cites [11] Brunborg, 2019, Increase in time spent on social media is associated with modest increase in depression, conduct problems, and episodic heavy drinking, J Adolesc source
Not checked in the free run.
- cites [12] Keles, 2020, A systematic review: the influence of social media on depression, anxiety and psychological distress in adolescents, Int J Adolesc Youth source
Not checked in the free run.
- cites [13] Lin, 2016, Association between social media use and depression among US young adults, Depress Anxiety source
Not checked in the free run.
- cites [14] Twenge, 2018, Increases in depressive symptoms, suicide-related outcomes, and suicide rates among US adolescents after 2010 and links to increased new media screen time, Clin Psychol Sci source
Not checked in the free run.
- cites [15] Ferguson, 2021, Links between screen use and depressive symptoms in adolescents over 16 years: is there evidence for increased harm?, Dev Sci source
Not checked in the free run.
- Interpretationreasoning§ Does Social Media Use Increase Depressive Symptoms? A Reverse Causation Perspective
An individual suffering from depressive symptoms may turn to social networking sites for social validation through gaining likes and followers.
“For example, an individual suffering from depressive symptoms may turn to social networking sites for social validation through gaining likes and followers.”
Quote in the paperSubstantial claim - Premisecitation
Jensen et al. found that baseline frequency of social media use did not predict increased daily depressive symptoms at 1- to 2-year follow-up in a demographically representative sample of adolescents.
“Jensen et al. (30) found that baseline frequency of social media use did not predict increased daily depressive symptoms at 1- to 2-year follow-up in a demographically representative sample of adolescents.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [30] Jensen, 2019, Young adolescents' digital technology use and mental health symptoms: little evidence of longitudinal or daily linkages, Clin Psychol Sci source
Not checked in the free run.
- Interpretationcitation
Several recent longitudinal studies show null or even disconfirming evidence for social media as a precedent of depression.
“Several recent longitudinal studies show null or even disconfirming evidence for social media as a precedent of depression.”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [30] Jensen, 2019, Young adolescents' digital technology use and mental health symptoms: little evidence of longitudinal or daily linkages, Clin Psychol Sci source
Not checked in the free run.
- cites [31] Coyne, 2020, Does time spent using social media impact mental health? An eight year longitudinal study, Comput Hum Behav source
Not checked in the free run.
- cites [32] Schemer, 2021, The impact of internet and social media use on well-being: a longitudinal analysis of adolescents across nine years, J Comput Mediat Commun source
Not checked in the free run.
- cites [33] Hampton, 2019, Social media and change in psychological distress over time: the role of social causation, J Comput Mediat Commun source
Not checked in the free run.
- Interpretationreasoning
The reverse causal view that depressiveness drives social media use has been neglected in current research.
“In conclusion, the current paper argued that the reverse causal view that depressiveness drives social media use has been neglected in current research.”
Quote in the paperNot a substantial claim - Premisereasoning
Most if not all experimental studies of the social media-depression relationship have manipulated social media use to isolate their effects on depression-related outcomes.
“Most if not all experimental studies of this relationship have manipulated social media use to isolate their effects on depression-related outcomes, probably because (1) this is easier to do than the reverse—manipulating participants' depressiveness and observing their social media behavior, and (2) the approach of blaming social media dominates over other theoretical approaches.”
Quote in the paperSubstantial claim - Premisecitation
Retrospective self-reports of adolescents' social media use may be biased and suffer from underestimation.
“Second, although retrospective self-reports of adolescents' social media use are most commonly employed, they may be biased and suffer from underestimation (48).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [48] Ellis, 2019, Do smartphone usage scales predict behavior?, Int J Hum Comput Stud source
Not checked in the free run.
- Premisecitation
More severely depressed or stressed individuals may view social media as a means of escape and spend excessive periods of time aimlessly browsing social networking sites.
“More severely depressed or stressed individuals may also view social media as a means of escape and spend excessive periods of time aimlessly browsing social networking sites (45).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [45] Wolfers, 2020, Using media for coping: a scoping review, Commun Res. source
Not checked in the free run.
- Premisecitation
Individuals with certain predispositions (e.g., depression, low self-esteem, perfectionism) view social media as a means to reaffirm their self-worth through social comparisons and seeking social validation.
“Some considerations include the tendency for individuals with certain predispositions (e.g., depression, low self-esteem, perfectionism) to view social media as a means to reaffirm their self-worth through social comparisons and seeking social validation (23).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [23] Kardefelt-Winther, 2014, A conceptual and methodological critique of internet addiction research: towards a model of compensatory internet use, Comput Hum Behav source
Not checked in the free run.
- Premisecitation
Hunt et al. demonstrated that limiting social media use to 30 min daily alleviated loneliness and depressive symptoms over a span of 3 weeks.
“For example, Hunt et al. (43) demonstrated that limiting social media use to 30 min daily alleviated loneliness and depressive symptoms over a span of 3 weeks.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [43] Hunt, 2018, No more FOMO: limiting social media decreases loneliness and depression, J Soc Clin Psychol source
Not checked in the free run.
- Premisecitation
Raudsepp showed that problematic social media use predicted depressive symptoms over a span of 2 years.
“Raudsepp (39) pointed to this bidirectionality by showing that problematic social media use (i.e., using social media in an unhealthy or maladaptive manner) predicted depressive symptoms over a span of 2 years.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [39] Raudsepp, 2019, Problematic social media use and sleep disturbances are longitudinally associated with depressive symptoms in adolescents, J Adolesc source
Not checked in the free run.
- Interpretationcitation
Experimental results do not support the view that social media use increases depression-related outcomes.
“However, experimental results do not support the view that social media use increases depression-related outcomes.”
Quote in the paperSubstantial claim - Premisecitation
Hall et al. found that social media abstention did not account for changes in loneliness or subjective well-being.
“For instance, Hall et al. (40) manipulated social media use by randomly assigning undergraduates to varying durations of abstinence (0, 2, 3, and 4 weeks) and found that social media abstention did not account for changes in loneliness or subjective well-being [see (41) for similar finding].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [40] Hall, 2019, Experimentally manipulating social media abstinence: results of a four-week diary study, Media Psychol. source
Not checked in the free run.
- cites [41] Stieger, 2018, A week without using social media: results from an ecological momentary intervention study using smartphones, Cyberpsychol Behav Soc Netw source
Not checked in the free run.
- Premisereasoning
Longitudinal designs do not rule out confounding or third variables that may influence or obscure the relationship between depressive symptoms and social media engagement.
“Although longitudinal designs can ascertain temporal ordering, they do not rule out confounding or third variables that may influence or obscure the relationship between depressive symptoms and social media engagement.”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 6
- May combine two claims. 13
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisecitation§ Does Social Media Use Increase Depressive Symptoms? A Reverse Causation PerspectiveThe sociocognitive model of internet addiction proposes that because online and social media stimuli can be psychologically rewarding, people are incentivized to stay engaged, but those with poorer self-regulation are especially susceptible to developing harmful social media habits.
“The sociocognitive model of internet addiction (24) similarly proposes that because online and social media stimuli can be psychologically rewarding, people are incentivized to stay engaged, but those with poorer self-regulation (e.g., individuals with psychological disorders) are especially susceptible to developing harmful social media habits.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [24] LaRose, 2003, Unregulated internet usage: addiction, habit, or deficient self-regulation?, Media Psychol source
Not checked in the free run.
May combine two claims.
PremisecitationRaudsepp and Kais's 2-year study of adolescent girls revealed that baseline levels of depressive symptoms predicted problematic social media use, whereas prior social media use did not predict depressive symptoms.
“Similarly, Raudsepp and Kais's (35) 2-year study of adolescent girls revealed that baseline levels of depressive symptoms predicted problematic social media use, whereas prior social media use did not predict depressive symptoms.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [35] Raudsepp, 2019, Longitudinal associations between problematic social media use and depressive symptoms in adolescent girls, Prevent Med Rep source
Not checked in the free run.
May combine two claims.
InterpretationcitationA bidirectional relationship may exist due to a cascading feedback loop whereby depression engenders compensatory social media use, which in turn aggravates depressive symptoms due to unhealthy social comparisons and other detrimental forms of social interaction.
“A bidirectional relationship may also exist due to a cascading feedback loop whereby depression engenders compensatory social media use, which in turn aggravates depressive symptoms due to unhealthy social comparisons and other detrimental forms of social interaction (37, 38).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [37] Appel, 2016, The interplay between Facebook use, social comparison, envy, and depression, Curr Opin Psychol source
Not checked in the free run.
- cites [38] Seabrook, 2016, Social networking sites, depression, and anxiety: a systematic Review, JMIR Ment Health source
Not checked in the free run.
Classified as probably not a substantial claim.
Premisecitation§ Does Social Media Use Increase Depressive Symptoms? A Reverse Causation PerspectiveAccording to the theory of compensatory internet use, people may view online activities such as social media as a means to alleviate negative feelings or fulfill unmet psychosocial needs.
“According to the theory of compensatory internet use (23), people may view online activities such as social media as a means to alleviate negative feelings or fulfill unmet psychosocial needs.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [23] Kardefelt-Winther, 2014, A conceptual and methodological critique of internet addiction research: towards a model of compensatory internet use, Comput Hum Behav source
Not checked in the free run.
May combine two claims.
PremisecitationHeffer et al. demonstrated that depressive symptoms preceded increased social media use among female adolescents, while social media usage did not precede depressive symptoms across both samples.
“For instance, Heffer et al. (34) followed samples of adolescents and undergraduates over 2 and 6 years, respectively, and demonstrated that depressive symptoms preceded increased social media use among female adolescents, while social media usage did not precede depressive symptoms across both samples.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [34] Heffer, 2019, The longitudinal association between social-media use and depressive symptoms among adolescents and young adults: an empirical reply to Twenge et al. (2018), Clin Psychol Sci source
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationLongitudinal designs alone do not provide grounds for causal conclusions, but they at least allow the temporal ordering of key variables to be determined.
“While longitudinal designs alone do not provide grounds for causal conclusions, they at least allow the temporal ordering of key variables to be determined (29).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [29] Pirlott, 2016, Design approaches to experimental mediation, J Exp Soc Psychol source
Not checked in the free run.
Classified as probably not a substantial claim.
Premisecitation§ Does Social Media Use Increase Depressive Symptoms? A Reverse Causation PerspectiveThe link between social media use and depression is contentious.
“Although the link between social media use and depression is contentious (16, 17), several have nonetheless implicated social media as pervasive and detrimental to psychological well-being.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [16] Orben, 2019, Screens, teens, and psychological well-being: evidence from three time-use-diary studies, Psychol Sci source
Not checked in the free run.
- cites [17] Orben, 2019, The association between adolescent well-being and digital technology use, Nat Hum Behav source
Not checked in the free run.
May combine two claims.
Premisecitation§ Does Social Media Use Increase Depressive Symptoms? A Reverse Causation PerspectiveHumans evolved a desire for belonging and social acceptance, which is facilitated by social monitoring motives to detect cues for social approval or rejection.
“As highly social creatures, humans evolved a desire for belonging and social acceptance (25), which is facilitated by social monitoring motives to detect cues for social approval or rejection (26).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [25] Leary, 2000, The nature and function of self-esteem: sociometer theory, Adv Exp Soc Psychol source
Not checked in the free run.
- cites [26] Pickett, 2005, The social monitoring system: enhanced sensitivity to social cues as an adaptive response to social exclusion
Not checked in the free run.
May combine two claims.
PremisecitationPuukko et al. found that depressive symptoms predicted increases in social media use for both boys and girls over 6 years during early and late adolescence, and social media use was not found to predict depressive symptoms.
“Examining the within-person effects of depressive symptoms on increased social media use over 6 years during early and late adolescence, Puukko et al. (36) found that depressive symptoms predicted increases in social media use for both boys and girls. Conversely, social media use was not found to predict depressive symptoms.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [36] Puukko, 2020, Social media use and depressive symptoms—A longitudinal study from early to late adolescence, Int J Environ Res Public Health source
Not checked in the free run.
May combine two claims.
PremisecitationMeta-analyses of cross-sectional studies on social media use and depression report small pooled effect sizes, suggesting the presence of extraneous variables.
“Meta-analyses of cross-sectional studies on social media use and depression also report small pooled effect sizes (9, 11, 12), suggesting the presence of extraneous variables.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [9] Ivie, 2020, A meta-analysis of the association between adolescent social media use and depressive symptoms, J Affect Disord source
Not checked in the free run.
- cites [11] Brunborg, 2019, Increase in time spent on social media is associated with modest increase in depression, conduct problems, and episodic heavy drinking, J Adolesc source
Not checked in the free run.
- cites [12] Keles, 2020, A systematic review: the influence of social media on depression, anxiety and psychological distress in adolescents, Int J Adolesc Youth source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationcitationThis result highlights the importance of accounting for antecedents of problematic social media use, such as depressive tendencies or other predispositions, otherwise psychological outcomes as a function of social media use remains unclear.
“This result highlights the importance of accounting for antecedents of problematic social media use, such as depressive tendencies or other predispositions, otherwise psychological outcomes as a function of social media use remains unclear.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDepressive mood has been found to be associated less with active social media use (e.g., commenting, messaging) and more with passive social media use (e.g., scrolling).
“For instance, depressive mood has been found to be associated less with active social media use (e.g., commenting, messaging) and more with passive social media use [e.g., scrolling; (47)].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [47] Thorisdottir, 2019, Active and passive social media use and symptoms of anxiety and depressed mood among Icelandic adolescents, Cyberpsychol Behav Soc Netw source
Not checked in the free run.
May combine two claims.
PremisecitationTurel et al. found that a week of social media abstinence reduced perceived stress levels, but only for excessive social media users.
“Pointing to the modulating role of individual differences, Turel et al. (44) found that a week of social media abstinence reduced perceived stress levels, but only for excessive social media users.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [44] Turel, 2018, Short abstinence from online social networking sites reduces perceived stress, especially in excessive users, Psychiatry Res source
Not checked in the free run.
May combine two claims.
PremisecitationVally and D'Souza showed that a week-long abstinence from social media led to reduced life satisfaction and increased negative affect and perceived stress.
“Moreover, Vally and D'Souza (42) showed that a week-long abstinence from social media led to reduced life satisfaction and increased negative affect and perceived stress.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [42] Vally, 2019, Abstinence from social media use, subjective well-being, stress, and loneliness, Perspect Psychiatr Care source
Not checked in the free run.
May combine two claims.
InterpretationreasoningMuch of the work on social media and depression is correlational, but many researchers have proceeded to point at social media for increased rates of depression while ignoring the reverse possibility that depressiveness may explain increased social media use.
“Much of this work is lamentably correlational, but despite the inability to deduce causality from such data, many researchers have proceeded to point at social media for today's increased rates of depression while ignoring the reverse possibility that depressiveness may, in fact, explain increased social media use.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningTogether, the longitudinal evidence suggests that claims that exposure to social media leads to depressive symptoms might be exaggerated, and the reverse relationship whereby depressiveness prompts more (and unhealthy) social media use has been overlooked.
“Together, the longitudinal evidence suggests that claims that exposure to social media leads to depressive symptoms might be exaggerated, and the reverse relationship whereby depressiveness prompts more (and unhealthy) social media use has been overlooked.”
Quote in the paperSubstantial claim
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?
Bidirectional associations between screen time and mental health could be supported by the self-perpetuating feedback loop model, whereby screen use leads to worsening mental health and poor mental health leads to increasing reliance on screens to cope.
“Bidirectional associations between screen time and mental health could be supported by the self-perpetuating feedback loop model [131], whereby screen use leads to worsening mental health and poor mental health leads to increasing reliance on screens to cope [132].”
From Screen time and mental health: a prospective analysis of the Adolescent Brain Cognitive Development (ABCD) Study (2024) · cites this paper as [132]
Cites
(2007) · PubMed Central · Cited by 2,521 · see citing works
The nature and function of self-esteem: Sociometer theory
Leary, M. R., & Baumeister, R. F. (2000) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(00)80003-9 · Cited by 2,521 · see citing works
Kardefelt-Winther, D. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2013.10.059 · Cited by 2,519 · cited 2× · see citing works
“, depression, low self-esteem, perfectionism) to view social media as a means to reaffirm their self-worth through social comparisons and seeking social validation (23).”
BackgroundGlobal burden of disease in young people aged 10–24 years: a systematic analysis
Gore, F. M., Bloem, P. J., Patton, G. C., Ferguson, J., Joseph, V., Coffey, C., Sawyer, S. M., & Mathers, C. D. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60512-6 · Cited by 2,301 · see citing works
The Third-Person Effect in Communication
Davison, W. P. (1983) · Public Opinion Quarterly · doi:10.1086/268763 · Cited by 1,967 · cited 1× · see citing works
“For instance, the haste to pass social media a guilty verdict might stem from moral panic brought about by the fear of contemporary technology (20), where the third-person effect in which individuals overattribute certain behaviors to the influence of mass communication (21) is a possible catalyst.”
BackgroundKeles, B., McCrae, N., & Grealish, A. (2020) · International Journal of Adolescence and Youth · doi:10.1080/02673843.2019.1590851 · Cited by 1,909 · cited 2× · see citing works
“Meta-analyses of crosssectional studies on social media use and depression also report small pooled effect sizes (9, 11, 12), suggesting the presence of extraneous variables.”
BackgroundTwenge, J. M., Joiner, T. E., Rogers, M. L., & Martin, G. N. (2018) · Clinical Psychological Science · doi:10.1177/2167702617723376 · Cited by 1,705 · see citing works
The 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 · cited 1× · see citing works
“Although the link between social media use and depression is contentious (16, 17), several have nonetheless implicated social media as pervasive and detrimental to psychological well-being.”
BackgroundTwenge, J. M., Cooper, A. B., Joiner, T. E., Duffy, M. E., & Binau, S. G. (2019) · Journal of Abnormal Psychology · doi:10.1037/abn0000410 · Cited by 1,469 · see citing works
Social comparison, social media, and self-esteem.
Vogel, E. A., Rose, J. P., Roberts, L. R., & Eckles, K. (2014) · Psychology of Popular Media Culture · doi:10.1037/ppm0000047 · Cited by 1,418 · cited 1× · see citing works
“For instance, some studies have been argued that social media may harm users by exposing them to negative stimuli such as unwholesome content, cyberbullying, unhealthy social comparisons, and feelings of inferiority (18, 19).”
BackgroundLin, L. Y., Sidani, J. E., Shensa, A., Radovic, A., Miller, E., Colditz, J. B., Hoffman, B. L., Giles, L. M., & Primack, B. A. (2016) · Depression and Anxiety · doi:10.1002/da.22466 · Cited by 1,111 · see citing works
No More FOMO: Limiting Social Media Decreases Loneliness and Depression
Hunt, M. G., Marx, R., Lipson, C., & Young, J. (2018) · Journal of Social and Clinical Psychology · doi:10.1521/jscp.2018.37.10.751 · Cited by 947 · cited 1× · see citing works
“(43) demonstrated that limiting social media use to 30min daily alleviated loneliness and depressive symptoms over a span of 3 weeks.”
BackgroundUnregulated internet usage: addiction, habit, or deficient self-regulation?
LaRose, R., Lin, C. A., & Eastin, M. S. (2003) · Media Psychology · doi:10.1207/s1532785xmep0503_01 · Cited by 868 · cited 1× · see citing works
“The sociocognitive model of internet addiction (24) similarly proposes that because online and social media stimuli can be psychologically rewarding, people are incentivized to stay engaged, but those with poorer self-regulation (e.”
BackgroundSystematic Review and Meta-Analysis: Adolescent Depression and Long-Term Psychosocial Outcomes
Clayborne, Z. M., Varin, M., & Colman, I. (2019) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2018.07.896 · Cited by 787 · see citing works
Social Networking Sites, Depression, and Anxiety: A Systematic Review
Seabrook, E. M., Kern, M. L., & Rickard, N. S. (2016) · JMIR Mental Health · doi:10.2196/mental.5842 · Cited by 724 · see citing works
Does time spent using social media impact mental health?: An eight year longitudinal study
Coyne, S. M., Rogers, A. A., Zurcher, J. D., Stockdale, L., & Booth, M. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2019.106160 · Cited by 701 · cited 1× · see citing works
“More prolonged studies spanning 8 or 9 years have further corroborated the view that frequency of social media use does not longitudinally predict depressive symptoms in adolescents even when studied across developmental periods from adolescence to young adulthood (31, 32).”
BackgroundBoot, W. R., Simons, D. J., Stothart, C., & Stutts, C. (2013) · Perspectives on Psychological Science · doi:10.1177/1745691613491271 · Cited by 670 · see citing works
The interplay between Facebook use, social comparison, envy, and depression
Appel, H., Gerlach, A. L., & Crusius, J. (2016) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2015.10.006 · Cited by 605 · cited 1× · see citing works
“A bidirectional relationship may also exist due to a cascading feedback loop whereby depression engenders compensatory social media use, which in turn aggravates depressive symptoms due to unhealthy social comparisons and other detrimental forms of social interaction (37, 38).”
BackgroundPsychopathology Associated With Suicidal Ideation and Attempts Among Children and Adolescents
GOULD, M. S., KING, R., GREENWALD, S., FISHER, P., SCHWAB-STONE, M., KRAMER, R., FLISHER, A. J., GOODMAN, S., CANINO, G., & SHAFFER, D. (1998) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-199809000-00011 · Cited by 600 · see citing works
Design approaches to experimental mediation
Pirlott, A. G., & MacKinnon, D. P. (2016) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2015.09.012 · Cited by 575 · cited 1× · see citing works
“Longitudinal Findings While longitudinal designs alone do not provide grounds for causal conclusions, they at least allow the temporal ordering of key variables to be determined (29).”
BackgroundFrison, E., & Eggermont, S. (2016) · Social Science Computer Review · doi:10.1177/0894439314567449 · Cited by 519 · cited 1× · see citing works
“passive engagement, and degree of addiction or problematic use, which have exhibited asynchronous associations with depressive symptoms (46).”
BackgroundCyberbullying Via Social Media
Whittaker, E., & Kowalski, R. M. (2015) · Journal of School Violence · doi:10.1080/15388220.2014.949377 · Cited by 498 · cited 1× · see citing works
“For instance, some studies have been argued that social media may harm users by exposing them to negative stimuli such as unwholesome content, cyberbullying, unhealthy social comparisons, and feelings of inferiority (18, 19).”
BackgroundShensa, A., Escobar-Viera, C. G., Sidani, J. E., Bowman, N. D., Marshal, M. P., & Primack, B. A. (2017) · Social Science & Medicine · doi:10.1016/j.socscimed.2017.03.061 · Cited by 469 · see citing works
Screens, Teens, and Psychological Well-Being: Evidence From Three Time-Use-Diary Studies
Orben, A., & Przybylski, A. K. (2019) · Psychological Science · doi:10.1177/0956797619830329 · Cited by 414 · cited 1× · see citing works
“Although the link between social media use and depression is contentious (16, 17), several have nonetheless implicated social media as pervasive and detrimental to psychological well-being.”
BackgroundA meta-analysis of the association between adolescent social media use and depressive symptoms
Ivie, E. J., Pettitt, A., Moses, L. J., & Allen, N. B. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.06.014 · Cited by 358 · cited 2× · see citing works
“Researchers seeking to understand this prevalence of depression in modern society have identified social media use as a key risk factor (8, 9).”
BackgroundIs social network site usage related to depression? A meta-analysis of Facebook–depression relations
Yoon, S., Kleinman, M., Mertz, J., & Brannick, M. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.01.026 · Cited by 355 · cited 1× · see citing works
“The heavy reliance on correlational data severely limits our ability to infer directionality and argue that exposure to social media causes depression (11, 22).”
BackgroundThorisdottir, I. E., Sigurvinsdottir, R., Asgeirsdottir, B. B., Allegrante, J. P., & Sigfusdottir, I. D. (2019) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2019.0079 · Cited by 347 · see citing works
Do smartphone usage scales predict behavior?
Ellis, D. A., Davidson, B. I., Shaw, H., & Geyer, K. (2019) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2019.05.004 · Cited by 326 · cited 1× · see citing works
“Second, although retrospective self-reports of adolescents’ social media use are most commonly employed, they may be biased and suffer from underestimation (48).”
BackgroundThe Conceptual and Methodological Mayhem of “Screen Time”
K. Kaye, L., Orben, A., A. Ellis, D., C. Hunter, S., & Houghton, S. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17103661 · Cited by 304 · cited 1× · see citing works
“Hence, future longitudinal work should employ objective data logs or screen-time apps as measures of social media frequency (49).”
BackgroundHeffer, T., Good, M., Daly, O., MacDonell, E., & Willoughby, T. (2019) · Clinical Psychological Science · doi:10.1177/2167702618812727 · Cited by 278 · see citing works
Jensen, M., George, M. J., Russell, M. R., & Odgers, C. L. (2019) · Clinical Psychological Science · doi:10.1177/2167702619859336 · Cited by 242 · cited 1× · see citing works
“(30) found that baseline frequency of social media use did not predict increased daily depressive symptoms at 1- to 2-year followup in a demographically representative sample of adolescents.”
BackgroundSocial media and moral panics: Assessing the effects of technological change on societal reaction
Walsh, J. P. (2020) · International Journal of Cultural Studies · doi:10.1177/1367877920912257 · Cited by 198 · cited 1× · see citing works
“For instance, the haste to pass social media a guilty verdict might stem from moral panic brought about by the fear of contemporary technology (20), where the third-person effect in which individuals overattribute certain behaviors to the influence of mass communication (21) is a possible catalyst.”
BackgroundZhou, C., Zhong, J., Zou, B., Fang, L., Chen, J., Deng, X., Zhang, L., Zhao, X., Qu, Z., Lei, Y., et al. (2017) · PLOS ONE · doi:10.1371/journal.pone.0172270 · Cited by 187 · cited 3× · see citing works
“According to the World Health Organization (1), 264 million individuals worldwide suffer from depression—a condition characterized by feelings of low self-worth, impaired concentration, and disturbed sleep, among various other maladaptive symptoms (2).”
BackgroundInfluentialUsing media for coping: a scoping review
Wolfers, L. N., & Schneider, F. M. (2021) · Communication Research · doi:10.1177/0093650220939778 · Cited by 175 · see citing works
Schemer, C., Masur, P. K., Geiß, S., Müller, P., & Schäfer, S. (2021) · Journal of Computer-Mediated Communication · doi:10.1093/jcmc/zmaa014 · Cited by 166 · cited 1× · see citing works
“More prolonged studies spanning 8 or 9 years have further corroborated the view that frequency of social media use does not longitudinally predict depressive symptoms in adolescents even when studied across developmental periods from adolescence to young adulthood (31, 32).”
BackgroundStieger, S., & Lewetz, D. (2018) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2018.0070 · Cited by 135 · cited 1× · see citing works
“(40) manipulated social media use by randomly assigning undergraduates to varying durations of abstinence (0, 2, 3, and 4 weeks) and found that social media abstention did not account for changes in loneliness or subjective well-being [see (41) for similar finding].”
BackgroundScrutinizing the effects of digital technology on mental health
Haidt, J., & Allen, N. (2020) · Nature · doi:10.1038/d41586-020-00296-x · Cited by 133 · cited 1× · see citing works
“Researchers seeking to understand this prevalence of depression in modern society have identified social media use as a key risk factor (8, 9).”
BackgroundExperimentally manipulating social media abstinence: results of a four-week diary study
Hall, J. A., Xing, C., Ross, E. M., & Johnson, R. M. (2021) · Media Psychology · doi:10.1080/15213269.2019.1688171 · Cited by 120 · cited 1× · see citing works
“(40) manipulated social media use by randomly assigning undergraduates to varying durations of abstinence (0, 2, 3, and 4 weeks) and found that social media abstention did not account for changes in loneliness or subjective well-being [see (41) for similar finding].”
BackgroundBrunborg, G. S., & Burdzovic Andreas, J. (2019) · Journal of Adolescence · doi:10.1016/j.adolescence.2019.06.013 · Cited by 118 · cited 2× · see citing works
“The heavy reliance on correlational data severely limits our ability to infer directionality and argue that exposure to social media causes depression (11, 22).”
BackgroundRaudsepp, L., & Kais, K. (2019) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2019.100925 · Cited by 114 · cited 1× · see citing works
“Similarly, Raudsepp and Kais’s (35) 2-year study of adolescent girls revealed that baseline levels of depressive symptoms predicted problematic social media use, whereas prior social media use did not predict depressive symptoms.”
BackgroundTurel, O., Cavagnaro, D. R., & Meshi, D. (2018) · Psychiatry Research · doi:10.1016/j.psychres.2018.11.017 · Cited by 113 · cited 1× · see citing works
“(44) found that a week of social media abstinence reduced perceived stress levels, but only for excessive social media users.”
BackgroundSocial Media Use and Depressive Symptoms-A Longitudinal Study from Early to Late Adolescence
Puukko, K., Hietajärvi, L., Maksniemi, E., Alho, K., & Salmela-Aro, K. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17165921 · Cited by 99 · cited 1× · see citing works
“(36) found that depressive symptoms predicted increases in social media use for both boys and girls.”
BackgroundSocial media and change in psychological distress over time: the role of social causation
Hampton, K. N. (2019) · Journal of Computer-Mediated Communication · doi:10.1093/jcmc/zmz010 · Cited by 98 · see citing works
Abstinence from social media use, subjective well-being, stress, and loneliness
Vally, Z., & D'Souza, C. G. (2019) · Perspectives In Psychiatric Care · doi:10.1111/ppc.12431 · Cited by 83 · cited 1× · see citing works
“Moreover, Vally and D’Souza (42) showed that a week-long abstinence from social media led to reduced life satisfaction and increased negative affect and perceived stress.”
BackgroundRaudsepp, L. (2019) · Journal of Adolescence · doi:10.1016/j.adolescence.2019.09.005 · Cited by 83 · cited 1× · see citing works
“Raudsepp (39) pointed to this bidirectionality by showing that problematic social media use (i.”
BackgroundAdverse social comparison processes and negative self-feelings: a test of alternative models
Stiles, B. L., & Kaplan, H. B. (2004) · Social Behavior and Personality An International Journal · doi:10.2224/sbp.2004.32.1.31 · Cited by 30 · see citing works
Orben, A. C., Dienlin, T., & Przybylski, A. K. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1909553116 · Cited by 20 · cited 1× · see citing works
“Lastly, given the considerable implications of findings from this research direction for adolescents’ technologyuse regulations and mental health, it is crucial that scholars embrace open scientific practices, such as pre-registration and utilization of the open science framework, to encourage future replications and…”
BackgroundFerguson, C. J. (2021) · Developmental Science · doi:10.1111/desc.13008 · Cited by 13 · cited 1× · see citing works
“Cross-sectional and correlational trend analyses appear to show increases in depression rates alongside increased social media engagement [(9, 11–14); also see (15), for a contrasting result].”
BackgroundLim, A. J. Y., & Yong, J. C. (2019) · Encyclopedia of Evolutionary Psychological Science · doi:10.1007/978-3-319-16999-6_3847-1 · Cited by 3 · see citing works
Flagged first, then by citations
2 of the 51 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Pickett, 2005, The social monitoring system: enhanced sensitivity to social cues as an adaptive response to social exclusion, 213
Cited by
Sorted by citations
Social media use and well-being: What we know and what we need to know
Valkenburg, P. M. (2022) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2021.12.006 · Cited by 373 · see citing works
Lambert, J. D., Barnstable, G., Minter, E., Cooper, J., & McEwan, D. (2022) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2021.0324 · Cited by 136 · see citing works
“15,16 Furthermore, there is a need to understand whether the effect of SM usage-reduction interventions on mental health is mediated by the time spent on different SM platforms.”
Nagata, J. M., Al-Shoaibi, A. A. A., Leong, A. W., Zamora, G., Testa, A., Ganson, K. T., & Baker, F. C. (2024) · BMC Public Health · doi:10.1186/s12889-024-20102-x · Cited by 103 · see citing works
“Bidirectional associations between screen time and mental health could be supported by the self-perpetuating feedback loop model [131], whereby screen use leads to worsening mental health and poor mental health leads to increasing reliance on screens to cope [132].”
BackgroundA systematic review on automated clinical depression diagnosis
Mao, K., Wu, Y., & Chen, J. (2023) · npj Mental Health Research · doi:10.1038/s44184-023-00040-z · Cited by 91 · see citing works
The Relationship between Social Media and the Increase in Mental Health Problems
Beyari, H. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20032383 · Cited by 81 · see citing works
“Some turn to social media to increase followers and gain a sense of gratification to compensate for their emotional and psychological challenges [24].”
BackgroundAchangwa, C., Ryu, H. S., Lee, J. K., & Jang, J.-D. (2022) · Healthcare · doi:10.3390/healthcare11010014 · Cited by 78 · see citing works
“Additionally, due to physical and mental immaturity, these children cannot regulate their use times and ways of use growing to be dependent on their smartphones, taking this same problematic behavior to the university [83].”
BackgroundHartanto, A., Lee, K. Y. X., Chua, Y. J., Quek, F. Y. X., & Majeed, N. M. (2022) · British Journal of Psychology · doi:10.1111/bjop.12597 · Cited by 62 · see citing works
Self-citationThe Association Between Internet Addiction and Adolescents’ Mental Health: A Meta-Analytic Review
Soriano-Molina, E., Gras, R. M. L., Patró-Hernández, R. M., & Rubio‐Aparicio, M. (2025) · Behavioral Sciences · doi:10.3390/bs15020116 · Cited by 86 · see citing works
“Furthermore, previous meta-analytic studies (Hartanto et al., 2021; Wong et al., 2024) have found that the relationship between social media and well-being during the pandemic is not significant, in contrast to research conducted in pre-pandemic contexts (Marino et al., 2018; Yang et al., 2019),…”
Hartanto, A., Chua, Y. J., Quek, F. Y. X., Wong, J., Ooi, W. M., & Majeed, N. M. (2023) · Attention Perception & Psychophysics · doi:10.3758/s13414-023-02707-3 · Cited by 53 · see citing works
“…smartphone use, it is more plausible that those with deficits in executive functions are more likely to have an unhealthy reliance on and uncontrolled usage of smartphones, driven by its rewarding and pleasurable experiences for users (Eyal, 2014; Hartanto et al., 2021; Srivastava, 2005).”
BackgroundSelf-citationHartanto, A., Lua, V. Y. Q., Quek, F. Y. X., Yong, J. C., & Ng, M. H. S. (2021) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2021.100135 · Cited by 45 · see citing works
Self-citationRelationships between Social Networking Sites Use and Self-Esteem: The Moderating Role of Gender
Ma, C. M. S. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph191811462 · Cited by 45 · see citing works
Malik, L., Shahnawaz, M. G., Rehman, U., Pragyendu, Uniyal, R., & Griffiths, M. D. (2023) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-023-00323-4 · Cited by 37 · see citing works
“For depressed individuals, excessive social media interactions often stem from their need for validation through likes and followers (Hartanto et al., 2021).”
From social media to artificial intelligence: improving research on digital harms in youth
Mansfield, K. L., Ghai, S., Hakman, T., Ballou, N., Vuorre, M., & Przybylski, A. K. (2025) · The Lancet Child & Adolescent Health · doi:10.1016/s2352-4642(24)00332-8 · Cited by 46 · see citing works
Tian, H., & Wang, Y. (2023) · Behavioral Sciences · doi:10.3390/bs13020153 · Cited by 39 · see citing works
“Because it has been suggested that a person with depressive symptoms may turn to social networking sites to gain social approval by gaining likes and followers, depression may be an antecedent of mobile phone addiction [46].”
BackgroundFioravanti, G., Benucci, S. B., Vinciarelli, V., & Casale, S. (2023) · Current Psychology · doi:10.1007/s12144-023-04644-8 · Cited by 32 · see citing works
“The issue of reverse causation concerning the association between social networking sites use and negative consequences on psychological well-being was already pointed out (e.g., Hartanto et al., 2021 ).”
Variation in social media sensitivity across people and contexts
Vaid, S. S., Kroencke, L., Roshanaei, M., Talaifar, S., Hancock, J. T., Back, M. D., Gosling, S. D., Ram, N., & Harari, G. M. (2024) · Scientific Reports · doi:10.1038/s41598-024-55064-y · Cited by 29 · see citing works
The Use of Instagram and TikTok in Relation to Problematic Use and Well-Being
Hendrikse, C., & Limniou, M. (2024) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-024-00399-6 · Cited by 43 · see citing works
“Studies investigating this relationship have yielded mixed results (Adeyanju et al., 2021; Hartanto et al., 2021).”
George, E. S., Davidson, I. A. K., Masri, A. E., Meade, T., & Kolt, G. S. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19074399 · Cited by 28 · see citing works
“Longitudinal research can provide important insights into the temporal sequence of events and can also help to address potential uncertainty around reverse causality [50,51].”
BackgroundWong, J., Yi, P. X., Quek, F. Y. X., Lua, V. Y. Q., Majeed, N. M., & Hartanto, A. (2024) · Current Psychology · doi:10.1007/s12144-022-04092-w · Cited by 27 · see citing works
Self-citationThe Relationship between Social Media Use and Body Image in Lebanese University Students
Karam, J., Bouteen, C., Mahmoud, Y., Tur, J. A., & Bouzas, C. (2023) · Nutrients · doi:10.3390/nu15183961 · Cited by 29 · see citing works
Rogowska, A. M., & Cincio, A. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13051247 · Cited by 46 · see citing works
“However, several longitudinal and experimental research indicated the reverse causal effect of depression on excessive social media use [100].”
BackgroundLai, L., Pan, Y., Xu, R., & Jiang, Y. (2025) · Frontiers in Public Health · doi:10.3389/fpubh.2025.1580826 · Cited by 41 · see citing works
“…is currently limited empirical research specifically addressing the relationship between depression and UCAI-C, significant attention has been devoted to understanding the association between depression and other forms of technology, such as social media (15), screen media (16), and games (17, 18).”
Bonsaksen, T., Chiu, V., Leung, J., Schoultz, M., Thygesen, H., Price, D., Ruffolo, M. C., & Geirdal, A. Ø. (2022) · Healthcare · doi:10.3390/healthcare10060996 · Cited by 29 · see citing works
“Notably, the latter view may also be argued from several theoretical standpoints [55].”
BackgroundWickord, L.-C., & Quaiser-Pohl, C. M. (2022) · Behavioral Sciences · doi:10.3390/bs12040099 · Cited by 28 · see citing works
“This would provide important inferences about the causality and direction of effect of the constructs [73,74].”
BackgroundHartanto, A., Wong, J., Lua, V. Y. Q., Tng, G. Y. Q., Kasturiratna, K. T. A. S., & Majeed, N. M. (2022) · Psychological Reports · doi:10.1177/00332941221135476 · Cited by 26 · see citing works
“First, due to the correlational nature of our study, we cannot claim causality and rule out the possibility of time-varying confounds (Hartanto et al., 2021a).”
BackgroundSelf-citationHuang, S., Lai, X., Li, Y., Cui, Y., & Wang, Y. (2023) · Children · doi:10.3390/children10050770 · Cited by 25 · see citing works
“Even so, many of the existing studies on the relationship between smartphone/social media use and mental health were cross-sectional and are vulnerable to reverse causation issues [12].”
BackgroundYu, Y., Dykxhoorn, J. L., & Plackett, R. (2024) · Journal of Medical Internet Research · doi:10.2196/56950 · Cited by 25 · see citing works
“We adjusted for mental health at baseline, to account for the reverse causality of social media on mental health that has been suggested by previous research: poor mental health conditions may drive heavier social media use [35].”
Goh, A. Y. H., Chia, S. M., Majeed, N. M., Chen, N. R. Y., & Hartanto, A. (2023) · Sustainability · doi:10.3390/su15042910 · Cited by 22 · see citing works
Self-citationBonsaksen, T., Steigen, A. M., Stea, T. H., Kleppang, A. L., Lien, L., & Leonhardt, M. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2022.1037375 · Cited by 21 · see citing works
Mechanisms Linking Social Media Use and Sleep in Emerging Adults in the United States
Kinsella, J. E., & Chin, B. N. (2024) · Behavioral Sciences · doi:10.3390/bs14090794 · Cited by 30 · see citing works
“Indeed, longitudinal studies of social media use and depression symptoms have generally found stronger evidence for social media use as a consequence, rather than an antecedent, of depression [40].”
BackgroundOswald, V., & Wagner, M. A. (2023) · European Journal of Ageing · doi:10.1007/s10433-023-00748-z · Cited by 20 · see citing works
Morales-Arjona, I., Benítez‐Hidalgo, V., Ruiz-Pérez, I., Callejón, C. H., & Pastor‐Moreno, G. (2024) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2024.0097 · Cited by 21 · see citing works
“These fi ndings are of paramount importance, given that they open the door to the use of new tools in the fi ght against CB.”
InfluentialEid, E., Fekih‐Romdhane, F., Dine, A. S. E., Malaeb, D. N., Hallit, S. R., & Obeïd, S. (2023) · Children · doi:10.3390/children10030599 · Cited by 19 · see citing works
“In this regard, reverse causality between psychopathology and PUSN has previously been observed, though findings remain inconclusive on this point [96].”
ResultKasim, N. M., Fauzi, M. A., Yusuf, M. F., & Wider, W. (2022) · Behavioral Sciences · doi:10.3390/bs12110456 · Cited by 30 · see citing works
“As [89] mentioned, future research needs to move toward a deeper analysis of the reverse possibility underlying social media use.”
BackgroundYang, S., & Jang, J.-W. (2022) · Behaviour and Information Technology · doi:10.1080/0144929x.2022.2153082 · Cited by 20 · see citing works
“Accordingly, it cannot rule out the possibility of reverse causality (see Hartanto et al., 2021).”
BackgroundFu, S. C., Pang, N. T. P., & Wider, W. (2022) · Children · doi:10.3390/children9121883 · Cited by 19 · see citing works
“asserted that there is a causal association that runs in the other direction between social media and depressed symptoms [56].”
BackgroundZhan, Y., Luo, L., & Hu, X. (2025) · BMC Psychology · doi:10.1186/s40359-025-03675-z · Cited by 21 · see citing works
“Previous research has indicated that emotional states and social media use may exhibit bidirectional influences [20].”
Association between social media use and depressive symptoms in middle-aged and older Chinese adults
Qi, Y., Zhang, C., Zhou, M., Zhang, R., Chen, Y., & Li, C. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-03142-0 · Cited by 15 · see citing works
Huang, F., Wang, Y., Xue, H., et al. (2023) · Future · doi:10.3390/future2010001 · Cited by 13 · see citing works
Arayıcı, M. E., Arayici, S. G., Erki̇n, Ö., & Şimşek, H. (2025) · Behavioral Sciences · doi:10.3390/bs15030344 · Cited by 19 · see citing works
“This perspective is supported by recent research indicating that factors like depressive symptoms can precede and drive social media use rather than the other way around (Hartanto et al., 2021).”
Kim, E., & Lee, K. (2022) · Healthcare · doi:10.3390/healthcare10071326 · Cited by 13 · see citing works
“Notably, in addition to the possibility that smartphone addiction affects the quality of sleep, both smartphone ad iction an sleep quality are likely to be caused by depression [30].”
BackgroundThe Impact of Mental Health Predictors of Internet Addiction among Pre-Service Teachers in Ghana
Essel, H. B., Vlachopoulos, D., Nyadu-Addo, R., Tachie-Menson, A., Baah, P. K., & Owusu-Antwi, C. (2022) · Behavioral Sciences · doi:10.3390/bs13010020 · Cited by 15 · see citing works
“A reverse causation perspective [79] needs to be further considered because the heavy reliance on correlational data severely limits our ability to infer directionality and argue that the adverse mental health outcome is an antecedent rather than a consequence of Internet addiction.”
BackgroundConnected but at Risk: Social Media Exposure and Psychiatric and Psychological Outcomes in Youth
Marano, G., Lisci, F. M., Rossi, S., Marzo, E. M., Boggio, G., Brisi, C., Traversi, G., Mazza, O., Pola, R., Gaetani, E., et al. (2025) · Children · doi:10.3390/children12101322 · Cited by 30 · see citing works
“Consistent with this, a broader reverse-causation perspective argues that selection into certain online behaviors by already-vulnerable youth can explain part of the observed correlation between SMU and distress [15].”
Associations between Fear of COVID-19, Depression, and Internet Addiction in South Korean Adults
Lee, J. J., & Lee, J. J. (2022) · Healthcare · doi:10.3390/healthcare10050861 · Cited by 11 · see citing works
“Although this study suggested a relationship between the psychological distress of COVID-19 fear and depression affecting the risk of Internet addiction, it is also necessary to consider the inverse causal relationship in which excessive Internet use aggravates psychological distress [41].”
BackgroundRoos, Y., & Wrzus, C. (2022) · Current Psychology · doi:10.1007/s12144-022-03593-y · Cited by 12 · see citing works
“It has to be noted, though, that digital technology use explains only very little of the variation in adolescents’ well-being (Orben & Przybylski, 2019) and researchers are still debating the causal direction of these effects (Hartanto et al., 2021).”
BackgroundGoh, A. Y. H., Hartanto, A., Kasturiratna, K. T. A. S., & Majeed, N. M. (2025) · Social Media + Society · doi:10.1177/20563051251313855 · Cited by 14 · see citing works
“…media screen time and body image in previous literature may be due to prior studies relying on subjective social media screen time measures, which have been shown to be prone to bias and unreliability (De Reuver & Bouwman, 2015; Ellis et al., 2019; Hartanto et al., 2021; Sewall et al., 2022).”
Self-citationWu, L., Yao, L., & Guo, Y. (2022) · Behavioral Sciences · doi:10.3390/bs12080275 · Cited by 10 · see citing works
“Second, due to the cross-sectional design, the causal inference could not be established, and relevant studies also suggest that social media use may be more of a symptom than a cause [72]; longitudinal or experimental design should be adopted in future studies, with the aim to uncover the causal link; at the same tim…”
BackgroundLiu, Y., Mohamad, E. M. W., Azlan, A. A., & Tan, Y. (2025) · Behavioral Sciences · doi:10.3390/bs15030290 · Cited by 9 · see citing works
“Temporality and causality can be explored by longitudinal and experimental methods (Hartanto et al., 2021).”
Aguiar, T. R., Lopes, D., & Brooks, T. R. (2025) · Human Behavior and Emerging Technologies · doi:10.1155/hbe2/8479135 · Cited by 13 · see citing works
Longitudinal and Bidirectional Relations Between Problematic Social Media Use and Cognitive Failures
Kasturiratna, K. T. A. S., & Hartanto, A. (2025) · Psychiatric Quarterly · doi:10.1007/s11126-025-10203-0 · Cited by 10 · see citing works
Self-citationChun, S., Lee, S., Heo, J., Ryu, J., & Lee, K. H. (2022) · Psychological Reports · doi:10.1177/00332941221123236 · Cited by 9 · see citing works
Adam, I., Dayour, F., & Kimbu, A. N. (2023) · Development Southern Africa · doi:10.1080/0376835x.2023.2165042 · Cited by 9 · see citing works
“In the same regard, the Reverse Causation Theory (Kasl, 1982) was useful in this study as it helps to theorise and illuminate how crises induced redundancy and associated inability to meet one’s financial needs lowers selfesteem and thereby affects the desire of the redundant employee to work in the tourism sector in…”
MethodKim, H. (2022) · Healthcare · doi:10.3390/healthcare10091671 · Cited by 8 · see citing works
“Smartphones can be used as a coping mechanism to alleviate negative emotions such as low self-esteem, anxiety, and depression, and as a means of satisfying psychological needs [31,32].”
BackgroundYumen, Y., Takayama, Y., Hanzawa, F., Sakane, N., & Nagai, N. (2023) · Nutrients · doi:10.3390/nu15071589 · Cited by 11 · see citing works
“In addition, the possibility of reverse causation cannot be excluded [36].”
BackgroundSmartphone use and mental health: going beyond school restriction policies
Weiss, H. A., & Bonell, C. P. (2025) · The Lancet Regional Health - Europe · doi:10.1016/j.lanepe.2025.101237 · Cited by 10 · see citing works
“6 The associations between social media use and mental health are likely complex and bidirectional, 7 and there is little causal evidence to date that reducing the time spent on social media will improve mental health and wellbeing.”
Liu, Z., & Xiao, L. (2024) · Behavioral Sciences · doi:10.3390/bs14121162 · Cited by 7 · see citing works
“Self-disclosure tendencies may act as mediators or moderators, further complicating the”
Andersen, A. I. O., Skogen, J. C., Hjetland, G. J., Finserås, T. R., Bøe, T., Colman, I., & Sivertsen, B. (2025) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2025.100881 · Cited by 11 · see citing works
Depression representations on the most popular Russian-language YouTube channels
Mikhaylova, O. R. (2023) · Convergence The International Journal of Research into New Media Technologies · doi:10.1177/13548565231160887 · Cited by 7 · see citing works
“Furthermore, social media may only affect those with a genetic and biological predisposition toward depression, and the impact of social media could be accompanied by other factors such as of fl ine interpersonal communication (Hartanto et al., 2021).”
BackgroundLiu, Z., Wang, S., & Zhao, X. (2023) · Sustainability · doi:10.3390/su151712967 · Cited by 7 · see citing works
Maerevoet, M., de Casteele, M. V., de Putte, E. V., Debeer, D., Hoorelbeke, K., Vansteenkiste, M., & Koster, E. H. W. (2025) · Frontiers in Public Health · doi:10.3389/fpubh.2025.1548504 · Cited by 8 · see citing works
Sirtoli, R., Fernández‐Rodríguez, R., Balboa‐Castillo, T., Rodrigues, R., Garrido‐Miguel, M., Mesas, A. E., Morales, G. I., & Guidoni, C. M. (2024) · American Journal on Addictions · doi:10.1111/ajad.13574 · Cited by 7 · see citing works
Wang, T., Zhang, S., Li, Q., Liu, H., Zhang, S., Jian, W., & Guo, J. (2024) · Journal of Global Health · doi:10.7189/jogh.14.04127 · Cited by 6 · see citing works
“Studies have demonstrated an association between internet use and increased depressive symptoms [7–9], with several finding that internet usage in general and specific online activities such as social networking may be correlated with loneliness, low self-esteem, and depressive symptoms [10–12].”
BackgroundDenche-Zamorano, Á. M., Mendoza-Muñoz, D. M., Pastor-Cisneros, R., Adsuar, J. C., Carlos‐Vivas, J., Franco-García, J. M., Pérez‐Gómez, J., & Mendoza-Muñoz, M. (2022) · Healthcare · doi:10.3390/healthcare10081403 · Cited by 6 · see citing works
“However, depressive symptoms may precede increased use of social networks, using them as an escape or for self-esteem reaffirmation through social validation [53].”
BackgroundExperimental evidence of instagram influencers’ impact on well-being
T’ng, K., Chan, K. Q., & Hartanto, A. (2024) · Current Psychology · doi:10.1007/s12144-024-06821-9 · Cited by 5 · see citing works
“Even when causal modeling is attempted (e.g., Jiang & Ngien, 2020 ), ascertaining causal - ity is problematic (see Hartanto et al., 2021 , for review), especially when dealing with large datasets with vast ana - lytical flexibility (Orben & Przybylski, 2019 ).”
Self-citationMay, W., Malouff, J. M., & Meynadier, J. (2025) · European Journal of Investigation in Health Psychology and Education · doi:10.3390/ejihpe15110222 · Cited by 9 · see citing works
“The possibility exists that depressive symptoms caused by unrelated issues could lead to increased social media use (Hartanto et al., 2021).”
Gu, C., Liu, S., & Chen, S. (2022) · Behavioral Sciences · doi:10.3390/bs12110421 · Cited by 5 · see citing works
“Some studies pointed out that distress should be used as a consequence of social media use [80], while others suggested that distress is an antecedent of reduced social media use [32].”
BackgroundCheng, Q., Panayiotou, M., Finserås, T. R., Andersen, A. I. O., & Humphrey, N. (2025) · Journal of Public Health · doi:10.1093/pubmed/fdaf150 · Cited by 7 · see citing works
“For instance, adolescents with symptoms of anxiety or depression might turn to social media for reassurance-seeking or mood regulation 22,23 or engage in gaming to distract themselves from emotional distress.”
Lu, Y., Tian, H., Shi, W., Liu, H., Wu, J., Tao, Y., & Peng, L. H. (2025) · Frontiers in Public Health · doi:10.3389/fpubh.2025.1533613 · Cited by 4 · see citing works
“For instance, Hartanto et al. summarize the current clues regarding the influence of social media on depression, highlighting the reverse effect of depression on social media use (72).”
Passion for an activity and its role on affect: Does personality and the type of activity matter?
Mylonopoulos, N. A., & Theoharakis, V. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.1047257 · Cited by 5 · see citing works
“First, a longitudinal or experimental research design could enhance our understanding of the causal relationship between passions and affect, since it has been argued that a general state of depression might push people to spend more time on social media rather than the other way around (Hartanto et al., 2021).”
BackgroundFolgar, M. I., Mateo‐Orcajada, A., Garrido, J. M. F., Conde, M. D. D., & Vaquero‐Cristóbal, R. (2024) · Behavioral Sciences · doi:10.3390/bs14121204 · Cited by 4 · see citing works
Romac, D., Muslić, L., Burić, D. J., Orban, M., Đogaš, V. G., & Milanović, S. M. (2022) · Healthcare · doi:10.3390/healthcare10071260 · Cited by 4 · see citing works
“We additionally acknowledge that a subjective measure of mental health does not inform us of the specific mental health conditions respondents were experiencing, so the problem as related to reverse causation could not be discussed in detail to provide a more balanced interpretation of the result [29].”
BackgroundMental Health Analysis using Deep Learning of Social Media Data gathered using Chrome Extension
Joshi, M., Mahajan, C., Korgaonkar, T., Raul, N., & Naik, M. (2023) · International Conference for Emerging Technology (INCET) · doi:10.1109/incet57972.2023.10170255 · Cited by 3 · see citing works
“Despite many studies focusing on the direction that increased social media use can lead to depression, only a few studies have looked at the possibility that depression may really explain greater social media usage [5].”
BackgroundXu, D., Feng, S., & Huang, Z. (2024) · The Journal of General Psychology · doi:10.1080/00221309.2024.2385105 · Cited by 4 · see citing works
“Overuse of social media can cause depression, stress and anxiety among students and can increase cyberbullying, wasted time and health risks for students that are similar to the findings of existing studies (Hartanto, Quek, Tng, & Yong, 2021; Lee et al., 2023; Primack et al., 2021).”
Kim, K.-H., & Suh, K.-H. (2023) · Current Psychology · doi:10.1007/s12144-023-05041-x · Cited by 3 · see citing works
“For example, people may excessively use social media because they are depressed, but problematic social media use may also make them depressed (Hartanto et al., 2021).”
Wang, L., Li, S., Liu, Y., & Cheng, L. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1627637 · Cited by 1 · see citing works
Problematic social media use and mental health among disabled emerging adults
Ellithorpe, M. E., Manganello, J. A., Bleakley, A., & Curtiss, S. L. (2025) · Information Communication & Society · doi:10.1080/1369118x.2025.2553017 · Cited by 1 · see citing works
“It should be noted that while much of the literature assumes the causal direction is from problematic use to mental health outcomes, other research is more equivocal and/or points to a mutually-reinforcing relationship (Hartanto et al., 2021; Lopes et al., 2022).”
Wolf, J., Padberg, F., Cronau, A., Wörz, K., Kunz, J. I., Bach, P., Goerigk, S. A., Jobst, A., Grosse-Wentrup, F., & Reinhard, M. A. (2026) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-025-02179-6 · Cited by 1 · see citing works
“While most research has focused on youth and general pop - ulations, relatively little is known about individuals with mental disorders [ 1 , 2 , 6 , 22–25].”
de la Rosa, P. A., Wilkinson, R., Cowden, R. G., Chen, Y., Case, B. W., Suzuki, E., & VanderWeele, T. J. (2026) · Current Psychology · doi:10.1007/s12144-026-09093-7 · Cited by 1 · see citing works
Gal, N., Wang, A. L. M., Franco, A., Chaix, B., & Birenboim, A. (2026) · Social Science & Medicine · doi:10.1016/j.socscimed.2026.119337 · Cited by 2 · see citing works
Yong, J. C., Lim, A. J. Y., Tan, E., & Chan, S. (2026) · Behavioral Sciences · doi:10.3390/bs16050650 · Cited by 1 · see citing works
Self-citationSocial Media Engagement as a Mediator of Fear of Missing Out and Self-esteem in Adolescents
Pratiwi, R., Putri, M. N. A. K., Rahmatulloh, A. R., Dewi, N. P. P. A. T., & Sari, N. K. D. P. (2023) · Advances in Social Science, Education and Humanities Research/Advances in social science, education and humanities research · doi:10.2991/978-2-38476-080-0_8 · Cited by 3 · see citing works
Social Media SensitivityPreprint
Vaid, S. S., Kroencke, L., Roshanaei, M., Talaifar, S., Hancock, J. T., Back, M. D., Gosling, S. D., Ram, N., & Harari, G. M. (2023) · doi:10.31234/osf.io/yfp45 · Cited by 1 · see citing works
The risks remain unknown for social media use and adolescent well-beingPreprint
Dahl, T., Foldnes, N., Grønneberg, S., & Aaen‐Stockdale, C. (2024) · doi:10.31234/osf.io/ycpfh · Cited by 1 · see citing works
Michèle Lalonde en-faye-rouapée…
Hébert, F. (1980) · Érudit (Université de Montréal)
Causal NarrativesPreprint
Kendall, C., & Charles, C. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4190168
Turner, P. (2023) · Human-computer interaction series · doi:10.1007/978-3-031-32454-3_5
Yu, Y., Dykxhoorn, J. L., & Plackett, R. (2024) · doi:10.2196/preprints.56950
Loneliness during the COVID pandemic: characteristics and associated risks
Paiva, T., Gaspar, T., Tomé, G., & de Matos, M. G. (2024) · MOJ Public Health · doi:10.15406/mojph.2024.13.00451
Octaviane, R., & Roswiyani, R. (2024) · PHILANTHROPY Journal of Psychology · doi:10.26623/philanthropy.v8i2.10660
“However, studies indicate that excessive social media use can affect users' mental health, such as increasing the risk of depression and anxiety (Azem et al., 2023; Hartanto et al., 2021).”
THE IMPACT OF SMARTPHONE ADDICTION ON EMPATHY AMONG MEDICAL STUDENTS
Cansel, N., Avcı, E. B., Tutal, B., Alaca, F. Z., Ghaffari, M., Kumaşoğlu, G., Çitil, M. S., Küçükbiltekin, S., Taner, F. N., & Çiçek, İ. B. (2025) · İnönü Üniversitesi Sağlık Hizmetleri Meslek Yüksek Okulu Dergisi · doi:10.33715/inonusaglik.1583915
Liza, R. G., Yanis, A., Yaunin, Y., Ashal, T., & Sauma, E. (2025) · Iranian Journal of Psychiatry and Behavioral Sciences · doi:10.5812/ijpbs-156611
“These include social issues, dysfunctional family dynamics, and mental health issues like anxiety, depression, sleep disorders, and behavioral and emotional disturbances (10).”
Passive Social Media Use, Depressive Symptoms, and Mindfulness Among College Students
Delo, M. (2025) · Psychology and Education A Multidisciplinary Journal · doi:10.70838/pemj.480309
Generative AI Use but not Social Media and Smartphone is Associated with Higher Well-beingPreprint
Lau, G. R., & Hartanto, A. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5893625 · Cited by 1 · see citing works
Self-citationImprovement of Human Health Lifespan with Hybrid Group Pose Estimation Methods
Chaudhuri, A. (2026) · Communications in computer and information science · doi:10.1007/978-3-032-20907-8_2
Morán-Pallero, N., Castaño, E. F., Delgado, M. G., & Rojas-Valverde, M. (2026) · Behavioral Sciences · doi:10.3390/bs16040619
“In this regard, previous research has highlighted the possibility of reverse or bidirectional associations, whereby psychological difficulties may also influence patterns of social media use (Hartanto et al., 2021).”
Kantar, A., Dik, G., & Yaşar, İ. (2026) · Gender Issues · doi:10.1007/s12147-026-09413-y
“In addition to these effects, social media also influences identity formation by encourag - ing individuals to manage their online presence in ways that attract social approval and validation (Hartanto et al., 2021).”
Logan, N., Neelakantan, L., Russell, M. A., & Reavley, N. J. (2026) · Research Square · doi:10.21203/rs.3.rs-9004628/v1
Lê, D. H., Pham, Q. D., Ha, L. T., et al. (2026) · International Journal of Applied Positive Psychology · doi:10.1007/s41042-026-00278-w
“The lack of direction or intentionality can lead to feelings of isolation, boredom, or even emotional emptiness (Hartanto et al., 2021 ; Özparlak & Karakaya, 2022; Rast et al., 2021 ).”
Jahrami, H., Trabelsi, K., Husain, W., Ghazzawi, H., Saif, Z., Ammar, A., & Pakpour, A. H. (2026) · Discover Mental Health · doi:10.1007/s44192-026-00498-1
“…been consistently linked to various adverse outcomes [4, 5], such as diminished work performance [5, 6], less healthy social relationships [7–9], sleep disturbances [10–13], reduced life satisfaction [10, 14], and heightened feelings of jealousy [15, 16], anxiety [17, 18], and depression [19, 20].”
- Authors
- Hartanto, A., Quek, F. Y. X., Tng, G. Y. Q., & Yong, J. C.
- Affiliations
- Singapore Management University (SG)
- Nanyang Technological University (SG)
- Corresponding author
- Hartanto, Andree
- Venue
- Frontiers in Psychiatry
- Publisher
- Frontiers Media SA
- Published
- 2021-03-23
- Volume
- 12
- Pages
- 641934-641934
- ISSN
- 1664-0640 (ISSN-L)
- PMC
- PMC8021694
- OpenAlex
- W3138027474
- Semantic Scholar
- 57878ade1fe9e67b8c30d73c7933abf1653eec47
- Cited by
- 107
- References
- 51
- Citations by year
- 2026: 17 · 2025: 23 · 2024: 17 · 2023: 23 · 2022: 23 · 2021: 2 · 2014: 1
- FWCI
- 22.52
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Psychiatry (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Northumbria Research Link (Northumbria University) (acceptedVersion)
- Singapore Management University Institutional Knowledge (InK) (Singapore Management University) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- DR-NTU (Nanyang Technological University) (submittedVersion, cc-by)
- Funders
- Singapore Management University (20-C242-SMU-001)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Social Psychology › Mental Health via Writing
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Keywords
- social media use, depressive symptoms, depression, adolescents, reverse causality
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.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-08.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-08.
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 ›
Are you an author, or do you see a problem with this page? Request a review