Digital Ecosystems, Children, and Adolescents: Technical Report

Higher impulsivity is linked to longer digital media use relative to lower sensory-seeking behavior.

“Children with higher impulsivity are also more prone to greater digital media use duration compared with children with lower sensory-seeking behaviors.68,69”

• cites [68] Zhang, 2025, Prospective associations between sleep, sensation-seeking, and mature screen usage in early adolescents: findings from the Adolescent Brain Cognitive Development study, Sleep. sourcePartly supported

  The Discussion (page not available in our copy) reports that higher sensation-seeking traits were associated with more frequent R-rated movie watching in early adolescents. The study measured sensation-seeking using an impulsive-behavior scale, but it does not establish that higher impulsivity predicts longer digital media use overall or compare impulsivity with lower sensation-seeking behavior. (LLM, conf=0.86)

  Experimental — accuracy not yet measured
• cites [69] Leppänen, 2020, Association of screen time with long-term stress and temperament in preschoolers: results from the DAGIS study, Eur J Pediatr. sourceDisputed

  The Materials and methods section defines surgency as including impulsivity and enjoyment of high-stimulus situations. In the Results table (page unavailable), surgency was not associated with screen time after adjustment (p = 0.88). The paper instead found that higher effortful control was associated with less screen time; it does not report the claimed comparison with children with lower sensory-seeking behavior. (LLM, conf=0.86)

  Checked by a reasoning model — may be wrong.

  Experimental — accuracy not yet measured

For young children, use of mobile devices for emotion regulation is associated with lower emotion regulation over time.

“For young children, use of mobile devices for emotion regulation is associated with lower emotion regulation over time.47,67”

• cites [47] McDaniel, 2020, Longitudinal associations between early childhood externalizing behavior, parenting stress, and child media use, Cyberpsychol Behav Soc Netw. sourceDisputed

  The Discussion reports that only TV viewing, not mobile-device use, predicted later externalizing behavior across six months; the Introduction identifies externalizing behavior as a marker of emotion-regulation problems. The paper instead found that earlier behavioral difficulties predicted greater later media use. It did not separately measure mobile-device use for emotion regulation. (LLM, conf=0.87)

  Checked by a reasoning model — may be wrong.

  Experimental — accuracy not yet measured
• cites [67] Radesky, 2023, Longitudinal Associations Between Use of Mobile Devices for Calming and Emotional Reactivity and Executive Functioning in Children Aged 3 to 5 Years, JAMA Pediatr. sourceNot checked — no full text of the source

One large population-based study found greater social media use duration associated with lower physical activity among Canadian teens.

“One large population-based study finds that greater duration of social media use is associated with lower physical activity behaviors among Canadian teens.249”

• cites [249] Morningstar, 2023, The association between social media use and physical activity among Canadian adolescents: a Health Behaviour in School-aged Children (HBSC) study, Can J Public Health. sourceDisputed

  The Discussion says the study did not find that overuse of social media was associated with lower physical activity among Canadian adolescents. Instead, intense use was associated with greater odds of meeting physical activity recommendations, while non-active use was associated with lower odds. The Measures section assesses frequency of online contact, not social-media-use duration. (LLM, conf=0.90)

  Checked by a reasoning model — may be wrong.

  Experimental — accuracy not yet measured

The engagement-based digital ecosystem may take the form of AI algorithms inferring teens' interest in harmful content.

“This engagement-based digital ecosystem may take the form of AI algorithms inferring teens’ interest in harmful content,2-4”

• cites [2] Wolak, 2018, Sextortion of Minors: Characteristics and Dynamics, J Adolesc Health. sourceNot checked — no full text of the source
• cites [3] Talbot, 2017, A content analysis of thinspiration, fitspiration, and bonespiration imagery on social media, J Eat Disord. sourceCould not verify

  The Discussion says thinspiration and bonespiration are easy to find and that users can evade content-blocking algorithms. The Method describes searching hashtags, but neither section addresses AI algorithms inferring teens’ interests from engagement (searched: interest inference, recommendation algorithms, engagement). (LLM, conf=0.75)

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• cites [4] Robb, 2023 sourcePartly supported

  The Content Filters and Parental Controls section reports that teens encounter harmful stereotypes and violent sexual content through pornography, and the Self-Reported Accidental Pornography Exposure Experiences section identifies social media as one route of exposure. Neither section attributes that exposure to AI algorithms inferring teens’ interests or to an engagement-based recommendation system. (LLM, conf=0.82)

  Experimental — accuracy not yet measured

Endless scrolls and autoplay prolong digital engagement at the expense of other offline child opportunities.

“endless scrolls and autoplay that prolong digital engagement at the expense of other offline child opportunities.6-9”

• cites [6] Radesky, 2022, Video-Sharing Platform Viewing Among Preschool-Aged Children: Differences by Child Characteristics and Contextual Factors, Cyberpsychol Behav Soc Netw. sourceNot checked — no full text of the source
• cites [7] Radesky, 2024, Algorithmic Content Recommendations on a Video-Sharing Platform Used by Children, JAMA Netw Open. sourcePartly supported

  The Discussion (page unavailable) says thumbnail designs aim to capture and sustain attention, supporting the general point about engagement. The Methods say autoplay was disabled during data collection, and the paper does not establish that endless scrolling or autoplay prolongs use at the expense of children’s offline opportunities. (LLM, conf=0.85)

  Experimental — accuracy not yet measured
• cites [8] Kidron, 2021Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

• cites [9] Kidron, 2023Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

Children's caregivers are the relational cornerstone in which children explore, learn, and play.

“Children’s caregivers (eg, parents) are the relational cornerstone in which children explore, learn, and play.28-31”

• cites [28] McDaniel, 2018, Technoference: Parent distraction with technology and associations with child behavior problems, Child Dev. sourcePartly supported

  The paper discusses parent–child play, interaction, and caregivers’ responsiveness to children (section labeled Abstract; page unavailable). That supports the importance of caregiver relationships to play, but our copy does not state that caregivers are the relational foundation for children’s exploration and learning. (LLM, conf=0.78)

  Experimental — accuracy not yet measured
• cites [29] Stockdale, 2020, Infants’ response to a mobile phone modified still-face paradigm: Links to maternal behaviors and beliefs regarding technoference, Infancy. sourceNot checked — no full text of the source
• cites [30] Corkin, 2021, Associations between technoference, quality of parent-infant interactions, and infants’ vocabulary development, Infant Behav Dev. sourceNot checked — no full text of the source
• cites [31] Holmgren, 2024, Patterns of Parent Media Use: The influence of parent media use profiles on parental mediation, technoference, and problematic media use, Comput Human Behav. sourceNot checked — no full text of the source

Open-ended, autonomy-supportive conversations with children about digital media are linked to lower likelihood of problematic internet use.

“Autonomy-supportive (providing choices and consistency) and open-ended discussions with children about digital media are associated with reduced likelihood of problematic internet use for children.60”

• cites [60] Rosič, 2024, Trajectories of digital flourishing in adolescence: The predictive roles of developmental changes and digital divide factors, Child Dev. sourcePartly supported

  The Discussion (page not available in our copy) reports that adolescents whose parents used more autonomy-supportive mediation were more likely to belong to a higher-digital-flourishing group. It does not report a reduced likelihood of problematic internet use, which is a different outcome. (LLM, conf=0.86)

  Experimental — accuracy not yet measured

One systematic review of parent-child joint media engagement suggested mixed findings, likely depending on the nature of the digital media task, age of child, and comparison condition.

“One systematic review of parent-child joint media engagement suggested mixed findings, likely depending on the nature of the digital media task, age of child, and comparison condition (eg, toys, books, TV).54”

• cites [54] Ewin, 2021, The impact of joint media engagement on parent–child interactions: A systematic review, Hum Behav Emerg Technol. sourceSupported

In one international systematic review, children and teens reported preferring that caregivers ask for their assent before sharing information, photos, or videos of them online.

“In one international systematic review, children and teens reported preferring that caregivers ask for their assent before sharing information, photos, or videos of them online.59”

• cites [59] Tosuntaş, 2024, Sharenting: A systematic review of the empirical literature, J Fam Theory Rev. sourceSupported

Greater parenting stress also predicts greater caregiver disruptions from mobile devices, particularly for children who have externalizing behaviors.

“Greater parenting stress also predicts greater caregiver disruptions from mobile devices, particularly for children who have externalizing behaviors.48”

• cites [48] McDaniel, 2024, Parent social media use and gaming on mobile phones, technoference in family time, and parenting stress, Psychology of Popular Media. sourcePartly supported

  The Results (page unavailable) report that parents with greater perceived parenting stress were more likely to say social media use and mobile gaming cut into family time. The paper does not report that this association is particularly strong for children with externalizing behaviors; it measures perceived interference, not observed disruptions. (LLM, conf=0.88)

  Experimental — accuracy not yet measured

When mobile device apps and content are designed to absorb caregiver attention, it can be challenging for caregivers to attend and respond to cues from infants, children, and teens.

“When mobile device apps and content are designed to absorb caregiver attention, it can be challenging for caregivers to attend and respond to cues from infants,24,46 children,47 and teens.41”

• cites [24] McDaniel, 2016, Technology interference in the parenting of young children: Implications for mothers’ perceptions of coparenting, Soc Sci J. sourceNot checked — no full text of the source
• cites [46] Linder, 2021, The impact of parent and child media use on early parent-infant attachment, Infancy. sourceNot checked — no full text of the source
• cites [47] McDaniel, 2020, Longitudinal associations between early childhood externalizing behavior, parenting stress, and child media use, Cyberpsychol Behav Soc Netw. sourcePartly supported

  The Introduction (page unavailable) says mobile media may displace parent–child interaction and that gamified design can absorb children’s attention, making interaction around devices harder. It does not say that apps absorb caregivers’ attention or make caregivers less able to notice and respond to children’s cues. This citation is attached to the claim about children, not the separate references for infants or teens. (LLM, conf=0.84)

  Experimental — accuracy not yet measured
• cites [41] Lauricella, 2020, Parental Influence on Youth Media Use, J Child Fam Stud. sourceNot checked — no full text of the source

When social systems constrain families' access to these opportunities, caregivers may need to rely on mobile devices for entertainment or stress relief.

“when social systems constrain families’ access to these opportunities, caregivers may need to rely on mobile devices for entertainment or stress relief.52”

• cites [52] Torres, 2021, Is it fair to simply tell parents to use their phones less? A qualitative analysis of parent phone use, Acta Paediatr. sourcePartly supported

  The paper’s table of parent responses describes caregivers using phones for distraction, games and relief during stressful parenting moments. Its discussion also describes phone use as a temporary escape from negative feelings. The paper does not establish that social systems constrain families’ access to other opportunities or that such constraints make caregivers rely on devices. (LLM, conf=0.84)

  Experimental — accuracy not yet measured

Many caregivers indicate that they post photos or images of their children online, known as sharenting, in order to connect with community.

“Many caregivers also indicate that they post photos or images of their children online, known as sharenting, in order to connect with community.59”

• cites [59] Tosuntaş, 2024, Sharenting: A systematic review of the empirical literature, J Fam Theory Rev. sourceSupported

Caregivers can shape the digital experiences of their children.

“Caregivers have the power to shape their children’s digital experiences.23,54”

• cites [23] Padilla-Walker, 2020, Parent-child joint media engagement in infancy, Infancy. sourceNot checked — no full text of the source
• cites [54] Ewin, 2021, The impact of joint media engagement on parent–child interactions: A systematic review, Hum Behav Emerg Technol. sourceSupported

Some caregivers indicate that during moments of frustration with their children, they use their mobile devices to seek parenting advice.

“some caregivers indicate that during moments of frustration with their children, they use their mobile devices to seek parenting advice.52”

• cites [52] Torres, 2021, Is it fair to simply tell parents to use their phones less? A qualitative analysis of parent phone use, Acta Paediatr. sourceSupported
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Persuasive digital media that encourage prolonged use and capture attention make disengagement difficult.

“When digital media are designed to be persuasive, encourage prolonged use, and capture users’ attention, disengagement can be difficult.14,61,62”

• cites [14] Domoff, 2020, Interactional theory of childhood problematic media use, Hum Behav Emerg Technol. sourceSupported
• cites [61] Coyne, 2022, ABCs or Attack-Boom-Crash? A longitudinal analysis of associations between media content and the development of problematic media use in early childhood, Technol Mind Behav. sourcePartly supported

  The Interactional Theory of Childhood Problematic Media Use section says some digital environments are designed to sustain engagement and that faster-paced content may make it harder for young children to disengage. This supports the claim's central idea, but the paper discusses children and particular media features, not difficulty disengaging for users generally. (LLM, conf=0.82)

  Experimental — accuracy not yet measured
• cites [62] Coyne, 2024, The growth of problematic media use over early childhood: Associations with long-term social and emotional outcomes, Comput Human Behav. sourcePartly supported

  The Abstract (page not provided) describes problematic media use in young children as including difficulty transitioning away from media and fixating on screens. It does not say that persuasive design, prolonged-use features, or attention-capturing design causes that difficulty. (LLM, conf=0.82)

  Experimental — accuracy not yet measured

Greater mobile device use may then be associated with more disrupted parent-child interactions.

“In turn, greater mobile device use may then be associated with more disrupted parent-child interactions.24,45,47,53”

• cites [24] McDaniel, 2016, Technology interference in the parenting of young children: Implications for mothers’ perceptions of coparenting, Soc Sci J. sourceNot checked — no full text of the source
• cites [45] McDaniel, 2018, Technoference: longitudinal associations between parent technology use, parenting stress, and child behavior problems, Pediatr Res. sourceSupported
• cites [47] McDaniel, 2020, Longitudinal associations between early childhood externalizing behavior, parenting stress, and child media use, Cyberpsychol Behav Soc Netw. sourceSupported
• cites [53] McDaniel, 2021, The DISRUPT: A measure of parent distraction with phones and mobile devices and associations with depression, stress, and parenting quality, Hum Behav Emerg Technol. sourceSupported

These findings are likely related to modeled behaviors, genetic factors, and structural forces that shape families' behaviors.

“These findings are likely related to modeled behaviors, genetic factors, and structural forces that shape the families’ behaviors.42”

• cites [42] Cost, 2023, Patterns of parent screen use, child screen time, and child socio-emotional problems at 5 years, J Neuroendocrinol. sourcePartly supported

  The Discussion (page unavailable) suggests that parents may serve as role models for children's screen use and that low income or single-parent households may shape parental screen use. These passages support modeled behavior and some family-resource influences, but our copy does not attribute the findings to genetic factors. (LLM, conf=0.86)

  Experimental — accuracy not yet measured

More daily notifications requiring caregiver engagement are linked to stress, particularly work-related ones.

“Indeed, greater notifications per day that require caregiver engagement are associated with stress, especially when notifications pertain to work.63”

• cites [63] Munzer, 2024, Greater mobile device-prompted phone pickups are associated with daily parent stress, Acta Paediatr. sourcePartly supported

  The Discussion reports greater parent stress when notifications prompted more device pickups, supporting the caregiver-engagement part of the claim. It also reports no association between notifications from different apps and parent stress, so the claim that work-related notifications are especially linked to stress is not supported by this study. The Introduction mentions negative emotions from productivity notifications, but attributes that finding to prior work. (LLM, conf=0.88)

  Experimental — accuracy not yet measured

High-quality child care, after-school activities, and safe outdoor play are often contingent on the structural resources that support families.

“High-quality child care, after-school activities, and safe outdoor play are often contingent on the structural resources that support families.16,51”

• cites [16] McArthur, 2022, Screen Time as a Mechanism Through Which Cumulative Risk is Related to Child Socioemotional and Developmental Outcomes in Early Childhood, Res Child Adolesc Psychopathol. sourceNot checked — no full text of the source
• cites [51] Shaw, 2021, Reducing Poverty-Related Disparities in Child Development and School Readiness: The Smart Beginnings Tiered Prevention Strategy that Combines Pediatric Primary Care with Home Visiting, Clin Child Fam Psychol Rev. sourcePartly supported

  The 'Implications of Smart Beginnings' section describes inequality of resources and opportunity for families, and 'Preventing Poverty-Related Disparities through Supporting Early Relational Health' discusses barriers to obtaining resources for children’s development. These passages support the general connection between family resources and children’s opportunities, but the paper does not specifically address access to high-quality child care, after-school activities, or safe outdoor play. Page numbers are unavailable in our copy. (LLM, conf=0.79)

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Research has also examined how digital media interacts with caregiver-child relationships and behaviors, termed early relational health.

“In addition to quantity and quality, research has also focused on the interplay between digital media and caregiver-child relationships and behaviors (“early relational health”).32,65,66”

• cites [32] Garner, 2021, Preventing Childhood Toxic Stress: Partnering With Families and Communities to Promote Relational Health, Pediatrics. sourcePartly supported

  The Emerging Science of Relational Health section defines relational health through supportive caregiver–child relationships and responsive interactions. The Links Between Relational Health and Resilience section also notes concern that excessive screen time may limit opportunities to develop skills. Neither passage says that research has examined the interplay between digital media and caregiver–child relationships or behaviors, so that part of the attributed claim is unsupported. (LLM, conf=0.82)

  Experimental — accuracy not yet measured
• cites [65] Klass, 2024, Literacy Promotion: An Essential Component of Primary Care Pediatric Practice: Policy Statement, Pediatrics. sourceSupported
• cites [66] Klass, 2024, Literacy Promotion: An Essential Component of Primary Care Pediatric Practice: Technical Report, Pediatrics. sourceSupported

One study linked digital media duration to achievement of developmental milestones at ages 2, 3, and 5.

“In terms of longitudinal studies testing bidirectional effects, one study found associations between quantity of digital media duration and children’s achievement of developmental milestones at ages 2, 3, and 5 years.90”

• cites [90] Madigan, 2019, Association between screen time and children’s performance on a developmental screening test, JAMA Pediatr. sourceSupported

Preschoolers are generally better able to learn language from educational media due to more mature brains and flexible memory.

“However, preschoolers tend to be more capable of language learning through educational media because of greater brain maturation and memory flexibility.81”

• cites [81] Dore, 2024 sourcePartly supported

  Section 2.1 (Content) says preschoolers can learn words from well-designed educational media and reports a hypothesis that their developmental readiness reflects improved memory flexibility and greater understanding of media’s symbolic nature. It does not identify greater brain maturation as the mechanism, and it presents the developmental explanation as a hypothesis rather than an established cause. (LLM, conf=0.85)

  Experimental — accuracy not yet measured

A meta-analysis linked greater digital media quantity, including TV and gaming, in children aged 4-18 to poorer academic performance, language, and mathematics.

“For example, one meta-analysis found that the quantity of digital media use (television and gaming) in children ages 4 to 18 years is associated with poorer academic performance scores, language, and mathematics.88”

• cites [88] Adelantado-Renau, 2019, Association between screen media use and academic performance among children and adolescents: a systematic review and meta-analysis, JAMA Pediatr. sourcePartly supported

  The Search Strategy and Inclusion Criteria section includes children and adolescents aged 4–18. The Meta-analysis and Discussion sections report inverse associations for television viewing with composite scores, language, and mathematics, but for gaming only with composite scores; the Discussion also reports no association for overall screen-media time. The claim overgeneralizes the findings across media types and outcomes. Page numbers were not provided in our copy. (LLM, conf=0.90)

  Experimental — accuracy not yet measured

A meta-analysis linked greater digital media quantity to weaker language skills.

“For example, in one meta-analysis,75 the quantity of digital media is associated with poorer language skills.”

• cites [75] Madigan, 2020, Associations between screen use and child language skills: A systematic review and meta-analysis, JAMA Pediatr. sourceSupported

Even high-quality programming and co-viewing do not benefit children as much as direct, device-free interaction with sensitive, attuned caregivers.

“First, even high-quality programing and co-viewing digital media do not provide children with the same level of benefit as direct, device-free interactions with sensitive and attuned caregivers.79”

• cites [79] Madigan, 2019, Parenting Behavior and Child Language: A Meta-analysis, Pediatrics. sourcePartly supported

  The Discussion (page unavailable) reports that sensitive, attuned caregiver interactions are associated with stronger child language skills. It does not compare those interactions with high-quality programming or co-viewing, or establish that device-free interaction provides greater benefits. The Limitations section also cautions that the findings do not establish causality. (LLM, conf=0.87)

  Experimental — accuracy not yet measured

Findings from meta-analyses on cognition and digital media are inconsistent.

“Meta-analytic studies are mixed.82”

• cites [82] Sanders, 2024, An umbrella review of the benefits and risks associated with youths’ interactions with electronic screens, Nat Hum Behav. sourceSupported

In a meta-analysis of children ages 0 to 12, quantity of digital media use was associated with both internalizing and externalizing problems.

“In one meta-analysis, among children ages 0 to 12, the quantity of digital media use was associated with both internalizing and externalizing problems.100”

• cites [100] Eirich, 2022, Association of screen time with internalizing and externalizing behavior problems in children 12 years or younger: a systematic review and meta-analysis, JAMA Psychiatry. sourceSupported
  Experimental — accuracy not yet measured

In a longitudinal study, greater internalizing and externalizing behaviors in children at age 3 are directionally associated with increased duration of digital media use at age 5.

“In longitudinal studies testing bidirectional effects, one study found that greater internalizing and externalizing behaviors in children at age 3 are directionally associated with increased duration of digital media use at age 5.103”

• cites [103] Neville, 2021, Bidirectional associations between screen time and children’s externalizing and internalizing behaviors, J Child Psychol Psychiatry. sourceSupported

Kidfluencers likely reflect digital ecosystems that incentivize user-generated content leveraging parasocial relationships to sell commercial products and capture children's attention.

“Kidfluencers, defined as children who are influencers themselves, likely reflect the digital ecosystems that incentivize user-generated content that leverage parasocial relationships to sell commercial products and capture children’s attention.113”

• cites [113] Shabahang, 2024, Downloading appetite? Investigating the role of parasocial relationship with favorite social media food influencer in followers’ disordered eating behaviors, Eat Weight Disord. sourcePartly supported

  The Introduction (page unavailable) describes parasocial relationships as part of social-media influencers’ persuasive power, which supports that element of the claim. It does not discuss kidfluencers, digital ecosystems that incentivize user-generated content, or using such content to sell products and capture children’s attention; the study concerns followers of food influencers. (LLM, conf=0.82)

  Experimental — accuracy not yet measured

Design features such as auto-play, infinite scrolling, and personalized algorithmic recommendations on social media platforms are digitally engineered to prolong device use and make disengagement more difficult, particularly for children.

“Design features, such as auto-play, infinite scrolling, and personalized algorithmic recommendations on social media platforms are digitally engineered to both prolong device use and make disengagement from devices more difficult,19 particularly for children, who may be developing their ability to control impulses.”

• cites [19] Coyne, 2021, Tantrums, toddlers and technology: Temperament, media emotion regulation, and problematic media use in early childhood, Comput Human Behav. sourceCould not verify

  The Problematic Media Use section discusses excessive use and children’s self-regulation, but not platform design features. Searches for auto-play, infinite scrolling, algorithmic recommendations, and engineered difficulty disengaging found no passage addressing the claim. Page numbers were not available in our copy. (LLM, conf=0.76)

  Experimental — accuracy not yet measured

Children with ADHD symptoms at age 6 were more likely to engage in violent video gaming 1 year later.

“Children with attention-deficit/hyperactivity (ADHD) symptoms (ie, inattention and hyperactivity) at age 6 were more likely to engage in violent video gaming 1 year later.87”

• cites [87] Fikkers, 2019, Child’s Play? Assessing the Bidirectional Longitudinal Relationship between Gaming and Intelligence in Early Childhood, J Commun. sourceCould not verify

  The Method section (page unavailable) describes annual measurements of children's digital game use and cognitive tasks, but does not report ADHD symptoms or violent-game use as outcomes. Searches for age-six ADHD symptoms predicting violent gaming one year later found no passage addressing that relationship; the Discussion's mention of violent gaming concerns a different study of adults. (LLM, conf=0.76)

  Experimental — accuracy not yet measured

Playing more violent video games did not heighten children's ADHD symptoms.

“However, the reverse was not true—playing more violent video games did not heighten children’s ADHD symptoms.87”

• cites [87] Fikkers, 2019, Child’s Play? Assessing the Bidirectional Longitudinal Relationship between Gaming and Intelligence in Early Childhood, J Commun. sourceCould not verify

  The Discussion addresses gaming and intelligence, not whether violent video games affect children’s ADHD symptoms. Searches for ADHD and violent game play found only a related title in the References and a Discussion example about aggression; neither reports the claimed finding. Page numbers were not available in our copy. (LLM, conf=0.76)

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In teens, social media use was likely to heighten later depression symptoms.

“and also that social media use was likely to heighten later depression symptoms.106”

• cites [106] Houghton, 2022, Longitudinal trajectories of mental health and loneliness for Australian adolescents with-or-without neurodevelopmental disorders: the impact of COVID-19 school lockdowns, J Child Psychol Psychiatry. sourceCould not verify

  The Discussion (page unavailable) describes social media as a possible way for adolescents to stay connected during lockdown, while the Results discuss depressive symptoms without linking them to social media use. Searches for later depression symptoms and social media as a predictor found no passage addressing the claimed relationship. (LLM, conf=0.74)

  Experimental — accuracy not yet measured

In the same longitudinal study, greater digital media duration at ages 3 and 5 was directionally associated with increased internalizing behaviors at ages 5 and 7, respectively.

“Moreover, greater digital media duration at ages 3 and 5 was also directionally associated with increased internalizing behaviors at ages 5 and 7, respectively.103”

• cites [103] Neville, 2021, Bidirectional associations between screen time and children’s externalizing and internalizing behaviors, J Child Psychol Psychiatry. sourceSupported

There are also associations between greater digital media use and higher well-being that are often overlooked.

“Additionally, as mentioned earlier, there are also associations between greater digital media use and higher well-being that are often overlooked.120”

• cites [120] Valkenburg, 2022, Social media use and well-being: What we know and what we need to know, Curr Opin Psychol. sourceSupported

Greater social support for families facing socioeconomic barriers is associated with more digital device boundaries.

“Indeed, greater social support for families facing socioeconomic barriers is associated with more digital device boundaries, which speaks to the benefits of support provision.117”

• cites [117] Lampard, 2013, The family context of low-income parents who restrict child screen time, Child Obes. sourceSupported

In teens, depressive symptoms were likely to heighten social media use across adolescence.

“Longitudinal studies testing bidirectional associations in teens found that depressive symptoms were likely to heighten social media use across adolescence105,106”

• cites [105] Puukko, 2020, Social Media Use and Depressive Symptoms-A Longitudinal Study from Early to Late Adolescence, Int J Environ Res Public Health. sourcePartly supported

  The Discussion reports that depressive symptoms predicted slight increases in active social media use within individuals across adolescence. The Conclusions qualify this as a very small, statistically weak effect that was somewhat inconsistent over time; saying symptoms were likely to heighten social media use omits those limits and extends the finding beyond active use. (LLM, conf=0.84)

  Experimental — accuracy not yet measured
• cites [106] Houghton, 2022, Longitudinal trajectories of mental health and loneliness for Australian adolescents with-or-without neurodevelopmental disorders: the impact of COVID-19 school lockdowns, J Child Psychol Psychiatry. sourceCould not verify

  The Methods > Measures section shows that depressive symptoms were assessed, while the Discussion mentions social media use during COVID-19 lockdowns. Neither section reports a test of bidirectional associations or a finding that depressive symptoms predicted increased social media use across adolescence; searches for those relationships found no such passage. Page numbers were not available in our copy. (LLM, conf=0.76)

  Experimental — accuracy not yet measured

Many online videos and apps in the app store are low-quality despite having educational claims otherwise.

“Furthermore, many online videos and apps in the app store are low-quality, despite having educational claims otherwise.5,92”

• cites [5] Meyer, 2019, Advertising in Young Children’s Apps: A Content Analysis, J Dev Behav Pediatr. sourceNot checked — no full text of the source
• cites [92] Meyer, 2021, How educational are ‘educational’ apps for young children? App store content analysis using the Four Pillars of Learning framework, J Child Media. sourcePartly supported

  The Results report that 72 of 124 educational apps (58%) were classified as lower-quality, and the Discussion concludes that not all apps marketed as educational are equally educational. The paper does not establish that many online videos are low-quality; its assessment concerns apps. (LLM, conf=0.88)

  Experimental — accuracy not yet measured

Greater duration of digital media use is associated with worsened sleep.

“and worsened sleep.139”

• cites [139] Lemola, 2015, Adolescents’ electronic media use at night, sleep disturbance, and depressive symptoms in the smartphone age, J Youth Adolesc. sourcePartly supported

  The Results and Discussion report that more frequent electronic media use in bed before sleep was associated with shorter sleep and more sleep difficulties in adolescents. The Measures section shows that this bedtime-use measure assessed frequency, not duration; the paper does not establish the claimed association specifically for greater duration of digital media use. (LLM, conf=0.82)

  Experimental — accuracy not yet measured

Those who report none to very limited social media use and those who report very heavy social media use tend to experience worse mental well-being compared with those with a middling sweet spot of use.

“Those who report “none” to “very limited” social media use and those who report “very heavy” social media use tend to experience worse mental well-being compared with those with a middling “sweet spot” of use.122”

• cites [122] Przybylski, 2017, A large-scale test of the goldilocks hypothesis: quantifying the relations between digital-screen use and the mental well-being of adolescents, Psychol Sci. sourcePartly supported

  The Confirmatory analyses (pp. 7–8) support a ‘sweet spot’ pattern for adolescents’ digital-screen time: well-being was generally flat or improved below the observed thresholds and declined above them. But the activities analyzed were films and TV, games, computer use, and smartphone use—not social media use specifically—so the claim’s social-media-specific comparison is not established by this paper. (LLM, conf=0.88)

  Experimental — accuracy not yet measured

The ubiquity of access to digital media allows it to become an easy distraction during times of emotional distress, providing emotional relief and subsequently reinforcing digital media engagement.

“The ubiquity of access to digital media allows it to become an easy distraction during times of emotional distress, providing emotional relief and subsequently reinforcing digital media engagement.19”

• cites [19] Coyne, 2021, Tantrums, toddlers and technology: Temperament, media emotion regulation, and problematic media use in early childhood, Comput Human Behav. sourcePartly supported

  The Media Emotion Regulation section describes parents using phones to soothe distressed infants and toddlers, and the Problematic Media Use section proposes that this may foster reliance on media for coping. The Discussion reports an association with concurrent problematic media use, but the paper does not establish that ubiquitous access causes emotional relief and reinforces engagement across digital-media users generally. (LLM, conf=0.87)

  Experimental — accuracy not yet measured

Teens who experience challenges with emotion regulation, executive function and impulsivity (e.g., ADHD), or social interactions (autism spectrum disorder) may experience more adverse effects from digital media.

“Teens who experience challenges with emotion regulation,129 executive function and impulsivity (eg, ADHD),61,130,131 or social interactions (autism spectrum disorder)132 may experience more adverse effects from digital media.”

• cites [129] Shannon, 2022, Problematic Social Media Use in Adolescents and Young Adults: Systematic Review and Meta-analysis, JMIR Ment Health. sourcePartly supported

  Citation 129 is attached to the emotion-regulation part of the sentence. The Introduction (page not provided) describes developing emotion-regulation circuits as one reason youth may be vulnerable to negative outcomes from social media. It does not establish that teens who specifically experience emotion-regulation challenges have more adverse effects than other teens. (LLM, conf=0.82)

  Experimental — accuracy not yet measured
• cites [61] Coyne, 2022, ABCs or Attack-Boom-Crash? A longitudinal analysis of associations between media content and the development of problematic media use in early childhood, Technol Mind Behav. sourcePartly supported

  The Discussion (page not provided) says executive functioning and self-regulation might protect against problematic media-use symptoms, and notes that regulation strategies appear protective at later ages. The paper studies young children, however, and does not establish that teens with ADHD or impulsivity experience more adverse effects from digital media. (LLM, conf=0.82)

  Experimental — accuracy not yet measured
• cites [130] Magis-Weinberg, 2021, Problematic Media Use and Symptoms of Anxiety and Depression During the Pandemic: An Investigation among Peruvian Adolescents in low-and middle-income Settings, PsyArXiv. sourceNot checked — no full text of the source
• cites [131] Borgen, 2022, Developing Healthy Social Media Practices: An Outpatient Caregiver-Adolescent Group Intervention, J Contemp Psychother. sourcePartly supported

  The Abstract says adolescents with co-occurring mental health concerns or other vulnerabilities may experience problems related to social media use. It does not specifically address autism spectrum disorder or establish that challenges with social interactions increase adverse effects. Citation 132 is attached to that autism-specific part of the sentence. (LLM, conf=0.78)

  Experimental — accuracy not yet measured
• cites [132] Normand, 2021, A systematic review of problematic internet use in children, adolescents, and adults with autism spectrum disorder, J Autism Dev Disord. sourceNot checked — no full text of the source

More recent data suggested this patterning of findings is more heterogeneous.

“However, more recent data suggested this patterning of findings is more heterogeneous.148”

• cites [148] Beyens, 2024, Social Media Use and Adolescents’ Well-Being, Developing a Typology of Person-Specific Effect Patterns. sourceSupported

Early adolescence may be a period of relative susceptibility to negative effects of digital media.

“Early adolescence may be a period of relative susceptibility to negative effects.137”

• cites [137] Nagata, 2025, Social Media Use and Depressive Symptoms During Early Adolescence, JAMA Netw Open. sourceSupported

In a systematic review, problematic internet use was associated with greater depressive, anxiety symptoms, and psychological distress symptoms with moderate effect estimates.

“In one systematic review, problematic internet use was associated with greater depressive, anxiety symptoms, and psychological distress symptoms with moderate effect estimates.127”

• cites [127] Sepas, 2024, The Association between Problematic Instagram Use, Psychological Distress, and Well-Being: A Systematic Review and Meta-Analysis, Cyberpsychol Behav Soc Netw. sourcePartly supported

  The Discussion reports moderate positive correlations between problematic Instagram use and depression and anxiety, and a moderate-to-large association with other psychological distress. The claim instead says problematic internet use, a broader category the review did not assess; its abbreviation PIU refers to problematic Instagram use. (LLM, conf=0.88)

  Experimental — accuracy not yet measured

Previous work among teens has supported a goldilocks effect or U-shaped relationship between the duration of time spent using social media and mental well-being for teens.

“Previous work among teens has supported a “goldilocks” effect or U-shaped relationship between the duration of time spent using social media and mental well-being for teens.122”

• cites [122] Przybylski, 2017, A large-scale test of the goldilocks hypothesis: quantifying the relations between digital-screen use and the mental well-being of adolescents, Psychol Sci. sourcePartly supported

  The Confirmatory analyses (p. 7) and Discussion (p. 9) support a Goldilocks-shaped relationship between digital-screen time and mental well-being among adolescents. But the measured activities were films and TV, games, computer use, and smartphone use—not time spent using social media specifically—so the citation does not establish the claim at that level of specificity. (LLM, conf=0.88)

  Experimental — accuracy not yet measured

Difficulties with emotion regulation are associated with anxiety, depression, ADHD, conduct problems, and problematic internet use.

“Difficulties with emotion regulation are associated with anxiety, depression, ADHD, conduct problems, and problematic internet use.124”

• cites [124] de la Fuente, 2022, Advances on self-regulation models: A new research agenda through the SR vs ER behavior theory in different psychology contexts, Front Psychol. sourceCould not verify

  The research-agenda table lists depression, emotional reactivity, and dysregulation of ICT use as separate constructs; it does not link difficulties with emotion regulation to any of the claimed conditions. Searches for anxiety, ADHD, conduct problems, and problematic internet use found no passage establishing those associations. (LLM, conf=0.76)

  Experimental — accuracy not yet measured

Greater duration of digital media use is associated with greater ADHD symptoms.

“Greater duration of digital media use is associated with greater ADHD symptoms138”

• cites [138] Ra, 2018, Association of digital media use with subsequent symptoms of attention-deficit/hyperactivity disorder among adolescents, JAMA. sourcePartly supported

  The Primary Analysis and Secondary Analyses report that greater high-frequency digital media use was associated with subsequent ADHD symptoms among adolescents. But the study measured how often activities were used, not the duration of use, so it does not establish the claim as phrased. (LLM, conf=0.88)

  Experimental — accuracy not yet measured

Use of social media before age 11 is related to greater problematic digital media behaviors.

“Use of social media before age 11 is related to greater problematic digital media behaviors153”

• cites [153] Charmaraman, 2022, Associations of early social media initiation on digital behaviors and the moderating role of limiting use, Comput Human Behav. sourceSupported

Population-level and meta-analytic studies suggest there are small associations between duration of time spent on digital media use and teen well-being.

“Overall, population-level and meta-analytic studies suggest there are small associations between duration of time spent on digital media use and teen well-being.122,136”

• cites [122] Przybylski, 2017, A large-scale test of the goldilocks hypothesis: quantifying the relations between digital-screen use and the mental well-being of adolescents, Psychol Sci. sourceSupported
• cites [136] Orben A, 2020, Teenagers, screens and social media: a narrative review of reviews and key studies, Soc Psychiatry Psychiatr Epidemiol. sourceSupported

Early adolescence (10-15 years) may represent a time of relatively greater susceptibility to the effects of social media (e.g., lower life satisfaction).

“In general, early adolescence (10-15 years) 152 may represent a time of relatively greater susceptibility to the effects of social media (eg, lower life satisfaction).144”

• cites [152] McCabe, 2023Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

• cites [144] Orben, 2022, Windows of developmental sensitivity to social media, Nat Commun. sourceSupported

Some teens with more passive social media use actually experience more positive effects on well-being compared with those with more active social media use.

“For instance, some teens with more passive social media use actually experience more positive effects on well-being compared with those with more active social media use.149”

• cites [149] Valkenburg, 2021, Social Media Browsing and Adolescent Well-Being: Challenging the “Passive Social Media Use Hypothesis”, J Comput Mediat Commun. sourcePartly supported

  The Abstract reports that some adolescents felt better after browsing, and the Conclusion says browsing may have positive, negative, or no effects on well-being. But this study does not show that teens with more passive use had more positive effects than teens with more active use; its active-versus-passive discussion reports findings from another study, not that comparison. (LLM, conf=0.87)

  Experimental — accuracy not yet measured

Use of social media before age 11 is related to disruption of sleep duration and timing.

“and disruption of sleep duration and timing.154”

• cites [154] Charmaraman, 2021, Quantity, Content, and Context Matter: Associations Among Social Technology Use and Sleep Habits in Early Adolescents, J Adolesc Health. sourcePartly supported

  The Abstract Results report that starting social media at an early age was among factors associated with later bedtimes and fewer hours of sleep on school nights. Our copy does not establish a specific before-age-11 cutoff; the surveyed adolescents were aged 11–15, so the sleep outcomes were not measured before age 11. (LLM, conf=0.85)

  Experimental — accuracy not yet measured

The optimal age of mobile device ownership is variable and likely depends on many individual and psychosocial characteristics.

“The optimal age of mobile device ownership is variable and likely depends on many individual and psychosocial characteristics.155,156”

• cites [155] Sun, 2023, Are mobile phone ownership and age of acquisition associated with child adjustment? A 5-year prospective study among low-income Latinx children, Child Dev. sourcePartly supported

  The Discussion (page unavailable) suggests that the effects of phone ownership may differ by sex and pubertal maturity, supporting the idea that individual characteristics matter. But these findings were exploratory, and the Results report no statistically significant associations for acquisition age after correction for multiple testing. The paper does not establish that an optimal ownership age varies with many individual and psychosocial characteristics. (LLM, conf=0.84)

  Experimental — accuracy not yet measured
• cites [156] Dempsey, 2020, Early mobile phone ownership: influencing the wellbeing of girls and boys in Ireland?, J Child Media. sourcePartly supported

  The Discussion reports no general association between early ownership and wellbeing, but finds differing associations by gender and psychosocial domain. That supports the idea that effects vary; the paper does not establish an optimal ownership age or show that it depends on many individual characteristics. The Limitations (p. 21) note that the study cannot determine precisely when children acquired phones between ages 9 and 13. (LLM, conf=0.82)

  Experimental — accuracy not yet measured

When teens feel less in control of their bodies, emotions, and social life offline, these symptoms might also be mirrored in the online world.

“When teens feel less in control of their bodies, emotions, and social life offline, these symptoms might also be mirrored in the online world.128”

• cites [128] Restrepo, 2020, Problematic internet use in children and adolescents: associations with psychiatric disorders and impairment, BMC Psychiatry. sourcePartly supported

  The Mental disorders and Indices of impact of PIU sections report associations between problematic internet use, depressive disorders, and broader impairment in children and adolescents. The Discussion also links poor self-control with PIU in individuals with ADHD. The paper does not establish that feeling less in control of one's body, emotions, and offline social life is mirrored online; that interpretation goes beyond the reported associations. (LLM, conf=0.78)

  Experimental — accuracy not yet measured

These teens may be more likely to encounter harmful content, such as violence, cyberbullying, exposure to unwanted sexual images or videos, and racist comments or discriminatory practices.

“These teens may be more likely to encounter harmful content, such as violence, cyberbullying, exposure to unwanted sexual images or videos, and racist comments or discriminatory practices.179”

• cites [179] Machimbarrena, 2018, Internet risks: An overview of victimization in cyberbullying, cyber dating abuse, sexting, online grooming and problematic internet use, Int J Environ Res Public Health. sourcePartly supported

  The Introduction describes cyberbullying as a violent online act, and the Discussion reports higher cyberbullying victimization among girls and greater involvement in several online risks among older adolescents. The paper does not establish that these teens are more likely to encounter violent content, unwanted sexual images or videos, or racist comments and discriminatory practices; its discussion of sexual images concerns sexting and grooming instead. The excerpt also does not identify which teens “these teens” refers to. (LLM, conf=0.85)

  Experimental — accuracy not yet measured

Another study finds no association between age of device ownership and well-being for both boys and girls among a Hispanic cohort.

“Another study finds no association between age of device ownership and well-being for both boys and girls among a Hispanic cohort.155”

• cites [155] Sun, 2023, Are mobile phone ownership and age of acquisition associated with child adjustment? A 5-year prospective study among low-income Latinx children, Child Dev. sourceSupported

Autonomy-supportive parenting is associated with less time spent using social media.

“and less time spent using social media.163”

• cites [163] Beyens, 2022, Social media, parenting, and well-being, Curr Opin Psychol. sourceSupported

Exposure to harmful content, particularly cyberbullying, is associated with greater emotional distress, anxiety, and depression.

“Exposure to harmful content, particularly cyberbullying, is associated with greater emotional distress, anxiety, and depression.180”

• cites [180] Englander, 2021, Bullying, cyberbullying, anxiety, and depression in a sample of youth during the coronavirus pandemic, Pediatr Rep. sourcePartly supported

  The Results report that youth who said cyberbullying had increased or remained frequent showed the most anxiety and depression, but the difference only approached statistical significance (p < 0.084). The paper does not establish an association for exposure to harmful content generally or separately assess emotional distress. (LLM, conf=0.86)

  Experimental — accuracy not yet measured

Parenting approaches that are specific to teen digital media use also play a role in shaping digital media outcomes.

“Parenting approaches that are specific to teen digital media use also play a role in shaping digital media outcomes.60”

• cites [60] Rosič, 2024, Trajectories of digital flourishing in adolescence: The predictive roles of developmental changes and digital divide factors, Child Dev. sourceSupported

Digital discrimination is linked to various mental health problems, including anxiety, depression, and stress.

“Digital discrimination is linked to various mental health problems, including anxiety, depression, and stress.176”

• cites [176] English, 2020, Daily multidimensional racial discrimination among Black U.S. American adolescents, J Appl Dev Psychol. sourcePartly supported

  The Results report that individual online racial discrimination was associated with increases in depressive symptoms among Black U.S. adolescents, but vicarious online discrimination was not. The study did not report anxiety or stress as measured mental-health outcomes; the Discussion mentions stress reactions only as a possible explanation. (LLM, conf=0.88)

  Experimental — accuracy not yet measured

Common apps that teens use during the school day include social media and YouTube.

“Common apps that teens use during the school day include social media and YouTube.125”

• cites [125] Radesky, 2023 sourceSupported

Research studies on adolescents part of at least one minoritized community based on race, ethnicity, faith, disability, and/or sexuality found that they most commonly use the digital environment to facilitate positive connections.

“Research studies on adolescents a part of at least one minoritized community based on race, ethnicity, faith, disability, and/or sexuality found that they most commonly use the digital environment to facilitate positive connections.187,188”

• cites [187] Lee, 2019, Social media use and well-being in people with physical disabilities: Influence of SNS and online community uses on social support, depression, and psychological disposition, Health Commun. sourceNot checked — no full text of the source
• cites [188] Vanaken, 2018, Impact of green space exposure on children’s and adolescents’ mental health: A systematic review, Int J Environ Res Public Health. sourceCould not verify

  The Results (§3.2; page unavailable) discuss ethnicity only as a possible adjustment variable. The Discussion (§4.8; page unavailable) mentions screen time and internet addiction as future research topics, not how adolescents from minoritized communities use digital environments. Searches for minoritized groups, online social connections, and positive digital use found no passage addressing the claim. (LLM, conf=0.76)

  Experimental — accuracy not yet measured

Digital media platforms are a primary source for teens to gain information about mental health.

“Digital media platforms are a primary source for teens to gain information about mental health.182,183”

• cites [182] McCashin, 2023, Using TikTok for public and youth mental health - A systematic review and content analysis, Clin Child Psychol Psychiatry. sourceSupported
• cites [183] Lupton, 2021, Young people’s use of digital health technologies in the global north: Narrative review, J Med Internet Res. sourcePartly supported

  The 'Mental Health Support and Information' section says digital platforms provide young people with mental health information and peer support. It also reports that most respondents in a survey of 17- to 24-year-olds had used the internet for information or help with distressing feelings. It does not establish that digital media platforms are a primary source of mental health information specifically for teens; in that survey, information-based websites were more popular than social media sites. (LLM, conf=0.84)

  Experimental — accuracy not yet measured

In one study, teens used their mobile devices during school times (9 am-3 pm) for a median of about 43 minutes.

“In one study, teens used their mobile devices during school times (9 am-3 pm) for a median of about 43 minutes.125”

• cites [125] Radesky, 2023 sourcePartly supported

  The TALKING POINTS report median smartphone use of about 43 minutes per school day, but define school hours as 8 a.m. to 3 p.m., not 9 a.m. to 3 p.m. The reported median therefore does not establish the claim for the narrower time window. (LLM, conf=0.88)

  Experimental — accuracy not yet measured

Digital media, particularly with artificial intelligence (AI) and algorithmic decision-making, often rely on historical data that may contain biases, leading to the reinforcement of existing prejudices.

“Digital media, particularly with artificial intelligence (AI) and algorithmic decision-making, often rely on historical data that may contain biases, leading to the reinforcement of existing prejudices.172,173”

• cites [172] Benjamin, 2019, Assessing risk, automating racism, Science. sourceNot checked — no full text of the source
• cites [173] Obermeyer, 2019, Dissecting racial bias in an algorithm used to manage the health of populations, Science. sourcePartly supported

  The paper says health-care prediction algorithms rely on past data (p. 2) and shows how a cost-based label produces racial bias (p. 2). It also discusses analogous risks in other sectors (Discussion, p. 8), but does not establish the claim specifically about digital media or how often this occurs there. (LLM, conf=0.85)

  Experimental — accuracy not yet measured

Teen externalizing behaviors increase with caregiver digital media use.

“Teen externalizing behaviors increase with caregiver digital media use.28”

• cites [28] McDaniel, 2018, Technoference: Parent distraction with technology and associations with child behavior problems, Child Dev. sourcePartly supported

  The Results report that greater mobile-technoference in mother–child interactions was associated with greater child externalizing behavior. But the Method (Participants & Procedure; page unavailable) gives an index-child age range of 1 to 5.5 years, not teens. The Discussion also cautions that this cross-sectional analysis cannot establish whether caregiver technology use causes behavior to increase. (LLM, conf=0.90)

  Experimental — accuracy not yet measured

Many teens search for social support regarding mental health on social media.

“Many teens search for social support regarding mental health on social media.159”

• cites [159] Bailey, 2022, The mental health and social media use of young Australians during the COVID-19 pandemic, Int J Environ Res Public Health. sourcePartly supported

  Results §3.5 reports that 36% of respondents had used social media for support with their own suicidal thoughts or self-harm, supporting the central point. But Methods §2.2 says the sample was aged 16–25, and the results do not report a separate rate for teens; the claim is more age-specific than the finding. (LLM, conf=0.82)

  Experimental — accuracy not yet measured

During the teen years, technoference has a significant correlation between caregiver mobile device use and teen symptoms of depression and anxiety.

“During the teen years, technoference has a significant correlation between caregiver mobile device use and teen symptoms of depression and anxiety.164,165”

• cites [164] Dixon, 2023, Parental technoference and adolescents’ mental health and violent behaviour: a scoping review, BMC Public Health. sourceSupported
• cites [165] Zhang, 2023, Parental Phubbing and child social-emotional adjustment: A meta-analysis of studies conducted in China, Psychol Res Behav Manag. sourcePartly supported

  The Overall Association section says parental phubbing is associated with children's internalizing problems, including anxiety and depression; the results on p. 4274 report a significant positive correlation. The claim is narrower about teens, while the reported result pools children across ages. The paper also distinguishes phone-specific phubbing from the broader concept of technoference. (LLM, conf=0.84)

  Experimental — accuracy not yet measured

Cross-sectional studies link greater green space exposure to better mental well-being and cognitive development.

“Cross-sectional studies show an association between greater green space exposure and greater mental well-being and cognitive development.188,189”

• cites [188] Vanaken, 2018, Impact of green space exposure on children’s and adolescents’ mental health: A systematic review, Int J Environ Res Public Health. sourcePartly supported

  The Results (§3.2–3.3; pages not provided) identify cross-sectional studies and report positive associations between green-space exposure and children’s or adolescents’ well-being. The review also reports associations with cognitive development, but its Discussion (§4.1; page not provided) describes the attention and working-memory evidence as coming from longitudinal studies. It therefore does not support attributing both outcomes specifically to cross-sectional studies. (LLM, conf=0.84)

  Experimental — accuracy not yet measured
• cites [189] McCormick, 2017, Does access to green space impact the mental well-being of children: A systematic review, J Pediatr Nurs. sourceNot checked — no full text of the source

Teens and young adults self-report a preference for device ownership between 12 and 13 years of age in anticipation for the transition from middle school to high school.

“Teens and young adults self-report a preference for device ownership between 12 and 13 years of age in anticipation for the transition from middle school to high school.157”

• cites [157] Richter, 2022, Youth Perspectives on the Recommended Age of Mobile Phone Adoption: Survey Study, JMIR Pediatr Parent. sourcePartly supported

  The Abstract Results report that youths recommended a first phone between ages 12 and 13, and the Results give an average recommended age of 12.7. One respondent recommended late middle school to the start of high school, but the Discussion says that receiving a first phone generally coincided with starting middle school. The paper does not establish anticipation of the transition to high school as the general reason for the age preference. (LLM, conf=0.88)

  Experimental — accuracy not yet measured

Digital mental health interventions have the potential to decrease barriers to mental health treatment.

“Digital mental health interventions have the potential to decrease barriers to mental health treatment.185”

• cites [185] Torous, 2021, The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality, World Psychiatry. sourceSupported

Another study in Sweden found no associations between mobile phone bans and academic development.

“Meanwhile, another study in Sweden found no associations between mobile phone bans and academic development.171”

• cites [171] Kessel, 2020, The impact of banning mobile phones in Swedish secondary schools, Econ Educ Rev. sourceSupported

Autonomy-supportive parenting is associated with digital flourishing for teens.

“Autonomy-supportive parenting is also associated with digital flourishing for teens60”

• cites [60] Rosič, 2024, Trajectories of digital flourishing in adolescence: The predictive roles of developmental changes and digital divide factors, Child Dev. sourceSupported

Preschoolers, school-aged children, and teens with challenges in emotion regulation, executive function, impulsivity such as ADHD, or social interactions such as autism are more likely to have sleep disturbances than neurotypical peers.

“Preschoolers, school-aged children, and teens who experience challenges with emotion regulation (social anxiety, mood conditions, stress), executive function, and impulsivity such as ADHD212 or social interactions (autism) are already more likely to have sleep disturbances compared with those with neurotypical development.”

• cites [212] Cortese, 2024, The management of sleep disturbances in children with attention-deficit/hyperactivity disorder (ADHD): an update of the literature, Expert Rev Neurother. sourceSupported

Frequent presence of mobile devices in bedrooms is attributable to sleep disruption.

“as well as sleep disruption attributable to frequent presence of mobile devices in bedrooms.202”

• cites [202] Hale, 2015, Screen time and sleep among school-aged children and adolescents: a systematic literature review, Sleep Med Rev. sourcePartly supported

  The Results (Mobile Devices and Sleep) report significant associations between having a cell phone in the bedroom and adverse sleep outcomes. The Introduction describes screen time as a hypothesized cause of insufficient sleep, but the review does not establish that the presence of mobile devices itself causes sleep disruption. (LLM, conf=0.84)

  Experimental — accuracy not yet measured

AI chatbots may offer parasocial connection through design affordances such as responsivity, emotional need meeting, and prolonged interactions.

“AI chatbots may promise parasocial connection, using design affordances such as responsivity, attempting to meet an emotional need, and prolonging interactions,192”

• cites [192] Fosch-Villaronga, 2023, Toy story or children story? Putting children and their rights at the forefront of the artificial intelligence revolution, AI Soc. sourcePartly supported

  The Introduction describes smart connected toys as reactive and socially receptive, and the “Individual level” section links their design to longer-term engagement and children’s emotional bonds. The paper addresses children’s interactions with smart toys, not AI chatbots generally, and does not say that they attempt to meet an emotional need. (LLM, conf=0.84)

  Experimental — accuracy not yet measured

Children and teens with ADHD are more likely to have digital media disrupt their sleep.

“Children and teens with ADHD also are more likely to have digital media disrupt their sleep,213”

• cites [213] Werling, 2022, Problematic use of digital media in children and adolescents with a diagnosis of attention-deficit/hyperactivity disorder compared to controls. A meta-analysis, J Behav Addict. sourcePartly supported

  The Results (Study description; page unavailable) say that included studies examined digital media use and sleep, and the Results (Analyses; page unavailable) find that youth with ADHD spend more time on media than controls. The Background mentions lack of sleep as a plausible effect of excessive media use. None of these passages establishes that media disrupts sleep more often in children or teens with ADHD than in controls. (LLM, conf=0.80)

  Experimental — accuracy not yet measured

Strong evidence exists that digital media disrupts child and teen sleep duration, onset, and quality.

“Strong evidence exists on the disruptive impact of digital media on child and teen sleep duration, onset, and quality.200-204”

• Also stated in: § Media Effects: Sleep · boosted

  “Strong evidence exists on the disruptive impact of digital technologies on child and teen sleep duration, onset, and quality.200-204,216,217”

• cites [200] Hale, 2018, Youth Screen Media Habits and Sleep: Sleep-Friendly Screen Behavior Recommendations for Clinicians, Educators, and Parents, Child Adolesc Psychiatr Clin N Am. sourceSupported
  Experimental — accuracy not yet measured
• cites [201] Robb, 2019Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

• cites [202] Hale, 2015, Screen time and sleep among school-aged children and adolescents: a systematic literature review, Sleep Med Rev. sourcePartly supported

  The Summary and Limitations section (page not available) reports that 90% of reviewed studies found an adverse association between screen time and at least one sleep outcome. The Results sections describe associations with shorter sleep, later sleep onset, and some measures of sleep quality, though quality findings vary by device. The claim’s wording implies a proven disruptive effect, whereas the Causality Difficult to Ascertain section says the studies do not establish causation. (LLM, conf=0.88)

  Experimental — accuracy not yet measured
• cites [203] Janssen, 2020, Associations of screen time, sedentary time and physical activity with sleep in under 5s: A systematic review and meta-analysis, Sleep Med Rev. sourcePartly supported

  The Results (Total daily screen time) report unfavorable associations with sleep duration, latency and quality in children under five. But the Results (Quality of evidence) rate the screen-time evidence very low, and the paper does not study teenagers or establish that digital media causes sleep disruption. Page numbers were not available in our copy. (LLM, conf=0.90)

  Experimental — accuracy not yet measured
• cites [204] Radesky, 2020, Young Children’s Use of Smartphones and Tablets, Pediatrics. sourcePartly supported

  The Abstract notes that earlier research tested associations between children’s screen-media use and sleep problems. It does not establish strong evidence of a disruptive impact or address sleep duration, onset, and quality in both children and teens. The Discussion concerns measuring device use, including possible overnight use, rather than sleep outcomes. (LLM, conf=0.83)

  Experimental — accuracy not yet measured
• cites [216] Hisler, 2020, Associations between screen time and short sleep duration among adolescents varies by media type: evidence from a cohort study, Sleep Med. sourceNot checked — no full text of the source
• cites [217] Lund, 2021, Electronic media use and sleep in children and adolescents in western countries: a systematic review, BMC Public Health. sourcePartly supported

  The Conclusions report consistent evidence that electronic media use is associated with shorter sleep duration, especially among ages 6–15. The Abstract Results identify associations with delayed bedtime, difficulty falling asleep, and poor sleep quality in particular age groups, but describe evidence for these other outcomes as more inconclusive. The claim overstates both the strength of evidence across all three outcomes and the causal implication of “disruptive impact.” (LLM, conf=0.90)

  Experimental — accuracy not yet measured

In a randomized experimental study, one hour of light exposure before bedtime delayed preschoolers' circadian phase by about 56 minutes on average.

“In a randomized experimental study, 1 hour of light exposure before bedtime resulted in preschoolers having average delayed circadian phase of about 56 minutes.207”

• cites [207] Hartstein, 2023, Evening Light Intensity and Phase Delay of the Circadian Clock in Early Childhood, J Biol Rhythms. sourceSupported

Children who watch more television and have televisions in their bedrooms have shorter and worse sleep.

“Children who watch more television and have televisions in their bedrooms have shorter and worse sleep.218”

• cites [218] Helm, 2019, Television use and its effects on sleep in early childhood, Sleep Health. sourceSupported

Once awake, children and teens may be inclined to further engage in screens, making it harder to fall back asleep.

“Once awake, children and teens may be inclined to further engage in screens, making it more difficult to fall back asleep.209”

• cites [209] Nagata, 2023, Bedtime screen use behaviors and sleep outcomes: Findings from the Adolescent Brain Cognitive Development (ABCD) Study, Sleep Health. sourcePartly supported

  The Results (p. 7) associate device use after waking overnight with greater trouble falling or staying asleep. The Discussion (p. 8) says adolescents may turn to devices when they wake, but cautions that the direction of the association is unknown; it does not establish that using screens makes it harder to fall back asleep. (LLM, conf=0.85)

  Experimental — accuracy not yet measured

Teens who kept devices in bedrooms but did not access them still experienced inadequate or poor sleep quality and excessive daytime sleepiness.

“Indeed, even teens who kept their devices in their bedrooms but did not access them experienced inadequate or poor sleep quality and excessive daytime sleepiness.208”

• cites [208] Carter, 2016, Association Between Portable Screen-Based Media Device Access or Use and Sleep Outcomes: A Systematic Review and Meta-analysis, JAMA Pediatr. sourceSupported

Systemic challenges like long work hours, unaffordable child care, and loss of third spaces reduce access to rich in-person social connections for families and teens.

“Systemic challenges such as long work hours, lack of affordable child care, and loss of third spaces make it harder for families and teens to access rich, in-person social connections.38,191”

• cites [38] Abbasi, 2023, Surgeon general sounds the alarm on social media use and youth mental health crisis, JAMA. sourceNot checked — no full text of the source
• cites [191] Loades, 2020, Rapid systematic review: the impact of social isolation and loneliness on the mental health of children and adolescents in the context of COVID-19, J Am Acad Child Adolesc Psych. sourceCould not verify

  The Discussion and Implications for Policy and Practice sections discuss how COVID-19 distancing curtailed young people’s social contact, but they do not address long work hours, unaffordable child care, or the loss of third spaces as barriers for families and teens. Searches for those factors and related terms found no passage supporting the attributed claim; page numbers were unavailable in our copy. (LLM, conf=0.76)

  Experimental — accuracy not yet measured

Teens surveyed reported using media as a distraction from negative and unpleasant thoughts before bedtime.

“Teens surveyed reported using media as a distraction from negative and unpleasant thoughts before bedtime.215”

• cites [215] Daniels, 2022, Technology use as a sleep-onset aid: are adolescents using apps to distract themselves from negative thoughts?, Sleep Adv. sourceSupported

Fussier infants may be exposed to greater digital media for soothing.

“and fussier infants may also be exposed to greater digital media for soothing.211”

• cites [211] Radesky, 2014, Patterns of mobile device use by caregivers and children during meals in fast food restaurants, Pediatrics. sourcePartly supported

  In “Using Devices Separately Versus Coviewing” (page not available), the paper reports that caregivers sometimes gave toddlers devices apparently to control behavior when they became more active. This supports the possibility of using digital media to soothe or manage a child, but the paper does not establish that fussier infants receive greater exposure than less fussy infants. (LLM, conf=0.85)

  Experimental — accuracy not yet measured

Insomnia and problems falling asleep may promote media use for relaxation.

“Insomnia and problems falling asleep may promote media use so as to relax.214”

• cites [214] Pagano, 2023, “Using digital media or sleeping … that is the question”. A meta-analysis on digital media use and unhealthy sleep in adolescence, Comput Human Behav. sourceSupported

Healthier sleep hygiene is associated with healthier weight.

“Healthier sleep hygiene is associated with healthier weight.198,199”

• cites [198] Moreno, 2023, Examination of parent-reported differences in children’s daily screen use, sleep, and sleep hygiene behaviors during the school year and summer and their association with BMI, Sleep Health. sourcePartly supported

  The Results and Discussion report that healthier sleep hygiene was associated with lower BMIz in children during the school year. The claim omits that setting-specific qualifier: the Results found no association between sleep hygiene behaviors and BMIz during summer. (LLM, conf=0.86)

  Experimental — accuracy not yet measured
• cites [199] Matricciani, 2019, Children’s sleep and health: A meta-review, Sleep Med Rev. sourceNot checked — no full text of the source

In a study of over 10,000 US teens, leaving the phone ringer on overnight was significantly associated with more trouble falling asleep, staying asleep, and overall sleep disturbance compared with turning phones off at night.

“In a study of over 10 000 US teens, those who left their phone ringer on overnight were significantly more likely to experience trouble falling asleep, staying asleep, and overall sleep disturbance compared with teens who turned their phones off at night.209”

• cites [209] Nagata, 2023, Bedtime screen use behaviors and sleep outcomes: Findings from the Adolescent Brain Cognitive Development (ABCD) Study, Sleep Health. sourceSupported

One automated app-based insomnia intervention using CBT-I showed a greater reduction in insomnia symptoms for teens randomized to receive it compared with those who did not.

“One app studied, an automated app-based insomnia intervention utilizing cognitive behavioral therapy for insomnia (CBT-I), showed a greater reduction in insomnia symptoms for teens randomized to receive the intervention compared with those who did not.227”

• cites [227] Werner-Seidler, 2023, The effects of a sleep-focused smartphone application on insomnia and depressive symptoms: a randomised controlled trial and mediation analysis, J Child Psychol Psychiatry. sourceSupported

Decades of observational research show a correlation between screen media duration and higher risk of adiposity and unhealthy weight among children and teens.

“Decades of observational research has demonstrated correlation between screen media duration and higher risk of adiposity and unhealthy weight among children and teens.247,248”

• cites [247] Haghjoo, 2022, Screen time increases overweight and obesity risk among adolescents: a systematic review and dose-response meta-analysis, BMC Prim Care. sourcePartly supported

  The Discussion reports that higher screen time was associated with greater odds of overweight or obesity, and the Methods specify that the review included observational studies. But the included participants were adolescents aged 10–19, so this source does not establish the association for younger children; the cited passages also do not establish the claim’s ‘decades’ timeframe. (LLM, conf=0.84)

  Experimental — accuracy not yet measured
• cites [248] Whiting, 2021, Physical activity, screen time, and sleep duration of children aged 6–9 years in 25 countries: An analysis within the WHO European childhood obesity surveillance initiative (COSI) 2015–2017 sourceCould not verify

  The Background links screen-device use to sedentary behaviour and higher energy intake, while the Screen Time section reports duration distributions for children aged 6–9; neither reports a correlation with adiposity or unhealthy weight. Searches for screen time, BMI, weight status, obesity, and adiposity found no passage establishing the claimed association in children and teens or describing decades of observational research. (LLM, conf=0.72)

  Experimental — accuracy not yet measured

Apps such as YouTube or video gaming consoles contribute to more sleep disturbances compared with TV.

“Apps such as YouTube or video gaming consoles contribute to more sleep disturbances as compared with TV.215,222”

• cites [215] Daniels, 2022, Technology use as a sleep-onset aid: are adolescents using apps to distract themselves from negative thoughts?, Sleep Adv. sourcePartly supported

  The Discussion (page unavailable) reports that YouTube use was a significant predictor of insufficient sleep. The Results describe gaming consoles as a way adolescents distracted themselves before bed, but do not link them to greater sleep disturbance. The Introduction mentions TV as a sleep aid; the paper does not compare its effects with YouTube or gaming consoles or establish the claimed causal effect. (LLM, conf=0.86)

  Experimental — accuracy not yet measured
• cites [222] Pillion, 2022, What’s “app”-ning to adolescent sleep? Links between device, app use, and sleep outcomes, Sleep Med. sourceNot checked — no full text of the source

Digital media, particularly smartphones and computers, are associated with greater myopia risk compared with television.

“Digital media, particularly smartphones and computers, are associated with a greater risk for myopia as compared with television.”

• cites [245] Bozzola, 2024, Media Device Use and Vision Disorders in the Pediatric Age: The State of the Art, Children (Basel). sourceSupported

Less flexible, demanding, or shift work schedules may make it harder for caregivers to set boundaries around evening digital media use.

“Less flexible, demanding, or shift work schedules may make it harder for caregivers to set boundaries around digital media use in the evenings.239”

• cites [239] Lee, 2019, Maternal perceived work schedule flexibility predicts child sleep mediated by bedtime routines, J Child Fam Stud. sourcePartly supported

  The Abstract says inflexible or unpredictable maternal work schedules may interfere with establishing consistent bedtime routines, and the Results report lower perceived flexibility among mothers working long hours or nonstandard shifts. The paper does not address caregivers setting boundaries around evening digital media use; its bedtime measure concerns adherence to a regular bedtime. (LLM, conf=0.88)

  Experimental — accuracy not yet measured

Digital media viewing duration and distance are associated with greater myopia risk.

“Digital media viewing duration and distance are associated with greater risk for myopia.245”

• cites [245] Bozzola, 2024, Media Device Use and Vision Disorders in the Pediatric Age: The State of the Art, Children (Basel). sourceSupported

Longer digital media use duration is associated with greater neck and shoulder pain frequency.

“Longer digital media use duration is associated with greater neck and shoulder pain frequency.246”

• cites [246] Pirnes, 2022, Physical activity, screen time and the incidence of neck and shoulder pain in school-aged children, Sci Rep. sourceSupported

Fifty-eight percent of teens report encountering pornography unintentionally.

“Fifty-eight percent of teens report encountering pornography unintentionally.4”

• cites [4] Robb, 2023 sourceSupported

Certain behaviors and situations are strongly linked to greater self-harm in adolescents.

“However, certain behaviors and situations are strongly linked to greater self-harm in adolescents.281”

• cites [281] Susi, 2023, Research Review: Viewing self-harm images on the internet and social media platforms: systematic review of the impact and associated psychological mechanisms, J Child Psychol Psychiatry. sourcePartly supported

  The “Potentially harmful impacts of viewing online self-harm images” section reports that eight studies found exposure to graphic images or videos could trigger self-harm and increase its frequency or severity. But “strongly linked” overstates the review’s qualified findings: its limitations sections describe inconsistent results, uncertain direction of impact, and studies not restricted to adolescents. Page numbers are unavailable in our copy. (LLM, conf=0.87)

  Experimental — accuracy not yet measured

Interventions to promote healthy screen habits and physical activity are more effective when embedded in community settings.

“Interventions to promote healthy screen habits and physical activity are more effective when they are embedded in community settings.266”

• cites [266] Downing, 2018, Interventions to reduce sedentary behaviour in 0–5-year-olds: a systematic review and meta-analysis of randomised controlled trials sourcePartly supported

  The Results > Meta-analysis and Discussion (page not available) say community-based interventions had the highest overall effect on screen time among children aged 0–5. They do not establish that community settings make interventions more effective at increasing physical activity; physical activity was discussed as an intervention target, not as the outcome of this setting comparison. (LLM, conf=0.87)

  Experimental — accuracy not yet measured

Two-thirds of LGBTQ+ teen respondents report intentional viewing of pornography.

“with two-thirds of LGBTQ+ teen respondents reporting intentional viewing of pornography.4”

• cites [4] Robb, 2023 sourceSupported

Studies show social media can have both harmful and protective effects on self-harm.

“Broadly, studies show that social media has the potential to have both harmful and protective effects on an individual with regard to self-harm.281”

• cites [281] Susi, 2023, Research Review: Viewing self-harm images on the internet and social media platforms: systematic review of the impact and associated psychological mechanisms, J Child Psychol Psychiatry. sourceSupported

There are many psychosocial influences on children's physical activity and diets, including access to green spaces, stress, and food environments.

“There are many psychosocial influences on children’s physical activity and diets, including access to green spaces,263 stress,264 and food environments.265”

• cites [263] Jia, 2021, Green space access in the neighbourhood and childhood obesity, Obes Rev. sourceSupported
• cites [264] Kappes, 2023, Stress, stress reduction and obesity in childhood and adolescence, Horm Res Paediatr. sourceNot checked — no full text of the source
• cites [265] Key, 2023, The effects of food environment on obesity in children: a systematic review, Children (Basel). sourcePartly supported

  The Results Summary (section 3.18) discusses children’s food choices in different food environments, supporting the dietary part of the claim. The Conclusions (section 5) say physical activity should be evaluated and controlled in BMI studies, but do not establish that food environments influence children’s physical activity. (LLM, conf=0.78)

  Experimental — accuracy not yet measured

A meta-analysis of behavioral interventions and sedentary behaviors among 0- to 5-year-olds found that longer interventions (over 6 months) and community-based settings were most effective.

“One meta-analysis examining behavioral interventions and sedentary behaviors among 0- to 5-year-olds found that interventions of longer durations (greater than 6 months) and those conducted in community-based settings were most effective.266”

• cites [266] Downing, 2018, Interventions to reduce sedentary behaviour in 0–5-year-olds: a systematic review and meta-analysis of randomised controlled trials sourcePartly supported

  The Results > Meta-analysis and Discussion report that interventions lasting ≥6 months and those in community-based settings were most effective for reducing screen time in children aged 0–5. The claim extends that finding to sedentary behaviour generally: the same Results section found no significant difference by intervention length for overall sedentary time. The paper uses ≥6 months, not strictly greater than 6 months. (LLM, conf=0.88)

  Experimental — accuracy not yet measured

A meta-analysis found that health care visits for eating disorder-related concerns increased by 54% during compared with before the COVID-19 pandemic.

“Moreover, another meta-analysis revealed that health care visits to emergency departments as well as inpatient and outpatient clinics for eating disorder-related concerns increased by 54% during, compared with before, the COVID-19 pandemic.293”

• cites [293] Madigan, 2025, A Systematic Review and Meta-Analysis: Child and Adolescent Healthcare Utilization for Eating Disorders During the COVID-19 Pandemic, J Am Acad Child Adolesc Psychiatry. sourceSupported

Thinspiration has evolved from primarily featuring celebrities and models to also including selfies and user-generated content.

“Thinspiration has evolved from including primarily celebrities and models to also including selfies and user-generated content.313”

• cites [313] Borzekowski, 2010, e-Ana and e-Mia: A content analysis of pro-eating disorder Web sites, Am J Public Health. sourcePartly supported

  The Results (page not provided) report that thinspiration images featured models and celebrities most often, but also included real people. The paper does not establish a change over time or identify those images as selfies or user-generated content. (LLM, conf=0.86)

  Experimental — accuracy not yet measured

Teen girls who regularly share selfies on social media tend to overevaluate shape, weight, and body dissatisfaction compared with those who do not share selfies.

“Teen girls regularly sharing selfies on social media tend to overevaluate shape, weight, and body dissatisfaction, compared with those not sharing selfies.305”

• cites [305] McLean, 2015, Selfies and social media: relationships between self-image editing and photo-investment and body dissatisfaction and dietary restraint, J Eat Disord. sourcePartly supported

  The passage in “Selfies and social media” reports higher overvaluation of shape and weight and body dissatisfaction among adolescent girls who regularly shared self-images. Its comparison group was girls who were not regular sharers, which could include occasional sharers—not necessarily girls who did not share selfies at all. (LLM, conf=0.85)

  Experimental — accuracy not yet measured

Given children and teens' desire for social acceptance and belonging, parasocial relationships can exert undue influence over developing minds.

“Given children and teens’ desire for social acceptance and belonging, parasocial relationships can exert undue influence over developing minds.311”

• cites [311] Packer, 2022, The Impact on Dietary Outcomes of Celebrities and Influencers in Marketing Unhealthy Foods to Children: A Systematic Review and Meta-Analysis, Nutrients. sourcePartly supported

  The Introduction says children can form parasocial relationships with celebrities and that these may mediate the influence of endorsements. The Conclusions report evidence that celebrity- or influencer-led unhealthy-food marketing increases children’s food consumption. The paper does not establish that a desire for social acceptance and belonging drives this effect, or that parasocial relationships exert a broader influence over developing minds. (LLM, conf=0.84)

  Experimental — accuracy not yet measured

Girls, nonminority adolescents, and heterosexual adolescents report greater depressive symptoms and non-suicidal self-harm when they experience pressured sexting.

“In addition, girls, nonminority adolescents, and heterosexual adolescents report “greater depressive symptoms and non-suicidal self-harm when they experience pressured sexting.”284”

• cites [284] Wachs, 2021, How Are Consensual, Non-Consensual, and Pressured Sexting Linked to Depression and Self-Harm? The Moderating Effects of Demographic Variables, Int J Environ Res Public Health. sourceSupported

A clear association exists between how often individuals compare their physical appearance to others on social media and the potential for body dissatisfaction.

“There is a clear association between the frequency of comparing one’s physical appearance (even as influencers) to others on social media and the potential for body dissatisfaction.299”

• cites [299] Jiotsa, 2021, Social Media Use and Body Image Disorders: Association between Frequency of Comparing One’s Own Physical Appearance to That of People Being Followed on Social Media and Body Dissatisfaction and Drive for Thinness, Int J Environ Res Public Health. sourcePartly supported

  Section 3.3 reports that participants who often or always compared their appearance with people they followed on social media had significantly higher body-dissatisfaction scores than those who never did. The paper does not identify participants as influencers or report a separate finding for influencers, so the citing sentence’s parenthetical extension is unsupported. (LLM, conf=0.82)

  Experimental — accuracy not yet measured

Studies find a clear association between appearance-related social media behaviors and eating disorders in adolescents.

“Studies are finding a clear association between appearance-related social media behaviors and eating disorders in teens.304”

• cites [304] Lonergan, 2020, Protect me from my selfie: Examining the association between photo-based social media behaviors and self-reported eating disorders in adolescence, Int J Eat Disord. sourceSupported

Studies show comparable benefits between general media literacy and social media literacy programs.

“Reassuringly, studies show comparable benefits between general media and social media literacy programs.317,318”

• cites [317] Kurz, 2022, School-Based Interventions Improve Body Image and Media Literacy in Youth: A Systematic Review and Meta-Analysis, J Prevention. sourcePartly supported

  The Intervention Effects on Media Literacy section reports a small positive average effect across the reviewed programs, and the Limitations section identifies an included social-media-focused intervention. Neither section compares the benefits of general media literacy programs with those of social media literacy programs, so the claimed comparability is not established. (LLM, conf=0.78)

  Experimental — accuracy not yet measured
• cites [318] McLean, 2017, A pilot evaluation of a social media literacy intervention to reduce risk factors for eating disorders, Int J Eat Disord. sourceSupported

Reporting and help-seeking for sextortion remain very low due to shame, fear, and negative perceptions of police and digital platforms.

“Unfortunately, “reporting and help-seeking remain very low due to shame, fear, and negative perceptions of police and digital platforms.”285”

• cites [285] Ray, 2025, Sextortion: A Scoping Review, Trauma Violence Abuse. sourcePartly supported

  The Reporting and Help-Seeking section (page not provided) reports low rates of police and platform reporting and identifies shame and fear as barriers. But the review describes informal help-seeking as common, and it identifies negative experiences with police—not negative perceptions of digital platforms—as a barrier. The claim therefore overstates how low help-seeking is and the evidence about platforms. (LLM, conf=0.88)

  Experimental — accuracy not yet measured

Existing systematic reviews find that appropriately directed parental involvement can reduce body dissatisfaction and disordered eating development in youth.

“Additionally, existing systematic reviews find that appropriately directed parental involvement can reduce youth body dissatisfaction and development of disordered eating.303”

• cites [303] Hart, 2015, Parents and prevention: a systematic review of interventions involving parents that aim to prevent body dissatisfaction or eating disorders, Int J Eat Disord. sourceSupported

Several meta-analyses report that the efficacy of prevention programs in general is positive.

“The efficacy of prevention programs in general, as evidenced by several meta-analyses, is reported as positive.319,320”

• cites [319] Zuair, 2022, Effects of Media Health Literacy School-Based Interventions on Adolescents’ Body Image Concerns, Eating Concerns, and Thin-Internalization Attitudes: A Systematic Review and Meta-Analysis, Health Commun. sourceNot checked — no full text of the source
• cites [320] Mazzeo, 2024, Mitigating Harms of Social Media for Adolescent Body Image and Eating Disorders: A Review, Psychol Res Behav Manag. sourcePartly supported

  The School-Based Interventions section reports one meta-analysis finding that media health literacy interventions reduced body-image and eating concerns among youth aged 10–18. The review also says many interventions had positive results, but it does not attribute a positive finding about prevention programs in general to several meta-analyses. Page numbers are unavailable in our copy. (LLM, conf=0.85)

  Experimental — accuracy not yet measured

For teens at greater risk of eating disorders who are seeking social acceptance, identity formation, and self-validation, these sites can be particularly dangerous.

“Developmentally, for teens with greater risk of eating disorders, seeking social acceptance, identity formation, and self-validation, these sites can be particularly dangerous.316”

• cites [316] Mento, 2021, Psychological Impact of Pro-Anorexia and Pro-Eating Disorder Websites on Adolescent Females: A Systematic Review, Int J Environ Res Public Health. sourcePartly supported

  The Discussion (section 4; page unavailable) says these sites are especially risky for teenagers vulnerable to eating disorders and links that risk to identity development and social desirability. The Results (section 3) also describe the sites as offering vulnerable teenagers a sense of support. The paper does not establish that seeking self-validation is a particular reason these teens use the sites or a reason the sites are dangerous to them. (LLM, conf=0.78)

  Experimental — accuracy not yet measured

Teens who regularly post selfies and use photo manipulation tools have a higher prevalence of eating disorders, including male youth who are often underrepresented in other data sets.

“Among teens who regularly post selfies and use photo manipulation tools, there is a higher prevalence of youth with eating disorders, including male youth who are often underrepresented in other data sets.304”

• cites [304] Lonergan, 2020, Protect me from my selfie: Examining the association between photo-based social media behaviors and self-reported eating disorders in adolescence, Int J Eat Disord. sourcePartly supported

  The Abstract (page unavailable) reports that greater photo manipulation was associated with higher odds of meeting criteria for several eating disorders in a sample that included adolescent boys. However, the paper measures photo investment and avoidance of posting selfies, not regular selfie posting as the claim states; the manipulation association also has exceptions. Its discussion of the few prior studies examining males supports their underrepresentation in research broadly, but does not establish underrepresentation in other data sets specifically. (LLM, conf=0.87)

  Experimental — accuracy not yet measured

Self-comparison and preoccupation with appearance can be associated with both depressive and social anxiety symptoms for social media users and influencers themselves.

“Self-comparison and preoccupation with appearance can also be associated with both depressive symptoms and social anxiety symptoms for social media users and influencers themselves.309,310”

• cites [309] Hjetland, 2024, Digital self-presentation and adolescent mental health: Cross-sectional and longitudinal insights from the “LifeOnSoMe”-study, BMC Public Health. sourcePartly supported

  The Conclusion reports that adolescents’ focus on self-presentation, including upward social comparison, was associated with depressive and anxiety symptoms. However, Methods > Variables specifies that the study measured general anxiety, not social anxiety; the paper also does not establish this association for influencers themselves. (LLM, conf=0.88)

  Experimental — accuracy not yet measured
• cites [310] Maheux, 2022, Longitudinal associations between appearance-related social media consciousness and adolescents’ depressive symptoms, J Adolesc. sourcePartly supported

  The Discussion (page unavailable) reports that appearance-related social media consciousness was associated with depressive symptoms one year later in adolescents. The paper does not establish an association with social anxiety symptoms, specifically study influencers, or directly assess self-comparison. (LLM, conf=0.88)

  Experimental — accuracy not yet measured

Prevalence estimates for problematic internet use likely differ due to varied definitions, assessments, and populations included in specific studies.

“Prevalence estimates likely differ because of varied definitions and assessments of problematic internet use and the population included in the specific studies.128,327”

• cites [128] Restrepo, 2020, Problematic internet use in children and adolescents: associations with psychiatric disorders and impairment, BMC Psychiatry. sourceSupported
• cites [327] Jolliff, 2020, #TechAddicted: Understanding Problematic Internet Use in Adolescents, Pediatr Rev. sourceNot checked — no full text of the source

Judgments about body image are outcomes of complex interactions between biological, psychological, and sociocultural factors.

“The assessment of judgment of body image is, naturally, part of this developmental stage, and the outcomes are products of complex interactions between a variety of biological, psychological, and sociocultural factors.295,296”

• cites [295] Irvine, 2019, Distorted body image influences body schema in individuals with negative bodily attitudes, Neuropsychologia. sourceNot checked — no full text of the source
• cites [296] Markey, 2010, Invited commentary: Why body image is important to adolescent development, J Youth Adolesc. sourceSupported

Participation in loot boxes is associated with greater participation in gambling in one cross-sectional survey-based study.

“The variable reinforcement interval can also resemble the reward scheme embedded in gambling and participation in loot boxes is also associated with greater participation in gambling in one cross-sectional survey-based study.346”

• cites [346] King, 2018, Predatory monetization schemes in video games (eg ‘loot boxes’) and internet gaming disorder, Addiction. sourceCould not verify

  The passage labeled Abstract says loot boxes resemble slot machines because their outcomes are random, but it does not report an association between loot-box participation and gambling participation. Searches for a cross-sectional survey and that association found no passage reporting such a result in our copy. (LLM, conf=0.74)

  Experimental — accuracy not yet measured

Likes and notifications from social media platforms may contribute to greater social media absorption.

“Likes and notifications from social media platforms may contribute to greater social media absorption.136,347”

• cites [136] Orben A, 2020, Teenagers, screens and social media: a narrative review of reviews and key studies, Soc Psychiatry Psychiatr Epidemiol. sourceCould not verify

  The Research question improvements section mentions liking as a type of active social media use, and Digital technology and social media describes social media engagement as immersive and continuous. Neither section says that likes or notifications contribute to greater absorption; searches for notifications and absorption found no passage addressing that link. Page numbers were unavailable in our copy. (LLM, conf=0.72)

  Experimental — accuracy not yet measured
• cites [347] Odgers, 2020Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

Caregivers' own digital media habits have a substantial impact on children's problematic internet use.

“Caregivers’ own digital media habits have a substantial impact on children’s problematic internet use.163”

• cites [163] Beyens, 2022, Social media, parenting, and well-being, Curr Opin Psychol. sourcePartly supported

  The section ‘Parental mediation and monitoring and adolescents’ social media use’ reports associations between parents’ monitoring, mediation or rules and adolescents’ problematic social media use. It does not establish that caregivers’ own digital media habits have a substantial impact on children’s problematic internet use; the same section cautions that the evidence is largely concurrent and cannot establish causation. No page number is available in our copy. (LLM, conf=0.85)

  Experimental — accuracy not yet measured

When restrictive mediation is autonomy-supportive, co-created through meaningful conversations by a teen and caregiver, findings suggest teens spent less time using social media and reported fewer problematic internet use symptoms.

“When the restrictive mediation was autonomy-supportive,163 meaning, co-created through meaningful conversations by a teen and caregiver, the findings suggested teens spent less time using social media and reported fewer problematic internet use symptoms.163”

• cites [163] Beyens, 2022, Social media, parenting, and well-being, Curr Opin Psychol. sourcePartly supported

  The ‘Parental mediation and monitoring and adolescents’ social media use’ section reports that adolescents spent less time on social media when parents used autonomy-supportive restrictive mediation. It separately reports less problematic social media use with restrictive mediation generally, but does not link that outcome specifically to an autonomy-supportive style or describe rules co-created by teens and caregivers. The copy also does not establish the claimed outcome of fewer problematic internet-use symptoms. (LLM, conf=0.88)

  Experimental — accuracy not yet measured

During early childhood, emotional reactivity, aggression, and overall duration of time spent on TV predict more problematic internet use symptoms.

“During early childhood, emotional reactivity, aggression, and overall duration of time spent on TV predict more problematic internet use symptoms.62”

• cites [62] Coyne, 2024, The growth of problematic media use over early childhood: Associations with long-term social and emotional outcomes, Comput Human Behav. sourcePartly supported

  The Results (Main Analyses; page not available) report that emotional reactivity, aggression, and TV viewing time predicted higher initial levels of problematic media use. The Measures section defines the outcome across types of screen media, not specifically internet use; the Results also found no significant predictors of its growth over time. (LLM, conf=0.90)

  Experimental — accuracy not yet measured

Cognitive behavioral therapy has been found to be a promising strategy for reducing problematic internet use symptoms among teens by bringing greater awareness of one's personal motivations for using digital media.

“Cognitive behavioral therapy has been found to be a promising strategy for reducing problematic internet use symptoms among teens by bringing greater awareness of one’s personal motivations for using digital media.61,355”

• cites [61] Coyne, 2022, ABCs or Attack-Boom-Crash? A longitudinal analysis of associations between media content and the development of problematic media use in early childhood, Technol Mind Behav. sourceCould not verify

  The Discussion describes a possible protective role for educational media and self-regulation in young children, not a therapy for teens. Searches for cognitive behavioral therapy and awareness of personal motivations found no passage in our copy addressing the claimed intervention or its effect on problematic internet use symptoms. The indexed passages provide section labels but no page numbers. (LLM, conf=0.76)

  Experimental — accuracy not yet measured
• cites [355] Wölfling, 2022, Using cognitive behavioral therapy as the select treatment approach for problematic internet usage, Curr Opin Behav Sci. sourceNot checked — no full text of the source

Converging evidence suggests that strong caregiver-child relationships can buffer against the risk of problematic internet use among both children and teens.

“Converging evidence suggests that strong caregiver-child relationships can buffer against the risk of problematic internet use among both children and teens.341-343”

• cites [341] Coyne, 2023, Masters of Media: A longitudinal study of parental media efficacy, media monitoring, and child problematic media use across early childhood in the United States, J Child Media. sourcePartly supported

  The Discussion (General Parental Efficacy; page unavailable) links parental efficacy with warmth and emotional closeness, and the Conclusion says parental media efficacy might protect against problematic media use in early childhood. The paper does not establish that caregiver–child relationship strength itself buffers problematic internet use, and its study does not extend to teens. (LLM, conf=0.84)

  Experimental — accuracy not yet measured
• cites [342] Lukavská, 2022, The associations of adolescent problematic internet use with parenting: A meta-analysis, Addict Behav. sourceNot checked — no full text of the source
• cites [343] Liu, 2023, Active parental mediation and adolescent problematic internet use: The mediating role of parent–child relationships and hiding online behavior, Behav Sci (Basel). sourcePartly supported

  The Introduction (§1.3) says a positive parent–child relationship may reduce the risk of problematic internet use, and the Conclusions (§5) report that relationship quality mediated adolescent problematic internet use. The paper supports the claim for adolescents, but its findings do not establish the same association for younger children. (LLM, conf=0.87)

  Experimental — accuracy not yet measured

Digital media design drives problematic internet use habits in considerable ways, primarily through variable reinforcement patterns, social motivation, catchy or affect-laden media, engagement-prolonging features, and precise algorithms.

“Digital media design drives problematic internet use habits in considerable ways, primarily through variable reinforcement patterns, social motivation, catchy or affect-laden media, engagement-prolonging features, and precise algorithms.61”

• cites [61] Coyne, 2022, ABCs or Attack-Boom-Crash? A longitudinal analysis of associations between media content and the development of problematic media use in early childhood, Technol Mind Behav. sourcePartly supported

  The Interactional Theory of Childhood Problematic Media Use section says personalized recommendations can prolong engagement and theorizes that the digital environment contributes to problematic media use in children. It also suggests that fast-paced content may make it harder for children to disengage. The paper does not establish that design drives problematic internet use in general, or identify variable reinforcement patterns and social motivation as the primary mechanisms. (LLM, conf=0.88)

  Experimental — accuracy not yet measured

Prosocial and educational media viewed during the preschool years is protective against problematic internet use symptoms.

“Conversely, prosocial and educational media viewed during the preschool years is protective against problematic internet use symptoms.61”

• cites [61] Coyne, 2022, ABCs or Attack-Boom-Crash? A longitudinal analysis of associations between media content and the development of problematic media use in early childhood, Technol Mind Behav. sourcePartly supported

  The Predictors of Problematic Media Use section reports that educational television content at age 2 predicted lower problematic media use at age 3. It explicitly finds no association for prosocial content. The study measures problematic media use, not specifically problematic internet use, and the Discussion cautions that causality has not been established. (LLM, conf=0.90)

  Experimental — accuracy not yet measured

In early childhood, symptoms of problematic internet use predict social and emotional problems four years later.

“In early childhood, symptoms of problematic internet use predict social and emotional problems 4 years later.62”

• cites [62] Coyne, 2024, The growth of problematic media use over early childhood: Associations with long-term social and emotional outcomes, Comput Human Behav. sourcePartly supported

  The Discussion (page unavailable) says initial levels of problematic media use were related to social and emotional problems four years later. But the Methods > Measures section defines the exposure as use of various types of screen media, not specifically internet use; that narrower part of the claim is unsupported. (LLM, conf=0.88)

  Experimental — accuracy not yet measured

School-aged children and teens who experience challenges with emotion regulation, executive function, impulsivity, or social interactions may have a greater likelihood of experiencing problematic internet use.

“School-aged children and teens who experience challenges with emotion regulation (social anxiety, mood conditions, stress),129 executive function, and impulsivity (ADHD)61,130,131 or social interactions (autism spectrum disorder)132 may have a greater likelihood of experiencing problematic internet use.”

• cites [129] Shannon, 2022, Problematic Social Media Use in Adolescents and Young Adults: Systematic Review and Meta-analysis, JMIR Ment Health. sourcePartly supported

  The Results and Discussion > Principal Findings (page not provided) report associations between problematic social media use and anxiety, depression, and stress in adolescents and young adults. That supports the mental-health association relevant to citation 129, but the paper does not establish that emotion-regulation challenges precede or increase the likelihood of problematic use, and it studies social media use rather than problematic internet use generally. The ADHD and autism portions have separate citations and are not assessed here. (LLM, conf=0.83)

  Experimental — accuracy not yet measured
• cites [61] Coyne, 2022, ABCs or Attack-Boom-Crash? A longitudinal analysis of associations between media content and the development of problematic media use in early childhood, Technol Mind Behav. sourcePartly supported

  The Discussion (page unavailable) says better executive functioning and self-regulation might protect against problematic media symptoms, which supports a cautious association. But the paper studies young children and does not establish that school-aged children or teens with ADHD or impulsivity have a greater likelihood of problematic internet use. (LLM, conf=0.83)

  Experimental — accuracy not yet measured
• cites [130] Magis-Weinberg, 2021, Problematic Media Use and Symptoms of Anxiety and Depression During the Pandemic: An Investigation among Peruvian Adolescents in low-and middle-income Settings, PsyArXiv. sourceNot checked — no full text of the source
• cites [131] Borgen, 2022, Developing Healthy Social Media Practices: An Outpatient Caregiver-Adolescent Group Intervention, J Contemp Psychother. sourceCould not verify

  Citation 132 is attached to the social-interaction challenges illustrated by autism spectrum disorder. The Abstract discusses adolescents with mental health vulnerabilities and skills for navigating online interactions, but does not say that autism or social-interaction difficulties increase the likelihood of problematic internet use. Searches for autism, ASD, and social-interaction difficulties found no passage addressing that association. (LLM, conf=0.72)

  Experimental — accuracy not yet measured

Strong evidence suggests that problematic internet use disrupts sleep duration and onset for both children and teens.

“Strong evidence suggests problematic internet use disrupts sleep duration and onset for both children and teens.35,200,339,340”

• cites [35] Robb, 2019Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

• cites [200] Hale, 2018, Youth Screen Media Habits and Sleep: Sleep-Friendly Screen Behavior Recommendations for Clinicians, Educators, and Parents, Child Adolesc Psychiatr Clin N Am. sourcePartly supported

  The “Internet and video game addiction and sleep” section reports an association between internet and video game addiction and insufficient sleep and subjective insomnia among adolescents. It says the evidence is limited and causality is unproven; it does not establish that problematic internet use disrupts sleep onset and duration in both children and teens. Page numbers were not available in our copy. (LLM, conf=0.89)

  Experimental — accuracy not yet measured
• cites [339] Vijakkhana, 2015, Evening media exposure reduces night-time sleep, Acta Paediatr. sourceNot checked — no full text of the source
• cites [340] Exelmans, 2017, Binge Viewing, Sleep, and the Role of Pre-Sleep Arousal, J Clin Sleep Med. sourceNot checked — no full text of the source

The digital ecosystem commonly includes precise design choices to capture human attention and shape behavior.

“The digital ecosystem commonly includes precise design choices to capture human attention and shape human behavior.1”

• cites [1] Fogg BJ . A behavior model for persuasive design. Paper presented at: Proceedings of the 4th international Conference on Persuasive Technology. 2009. sourceNot checked — no full text of the source

Families are frequently exposed to low-quality and data-mining tech products.

“families’ frequent exposure to low-quality and data-mining tech products,5”

• cites [5] Meyer, 2019, Advertising in Young Children’s Apps: A Content Analysis, J Dev Behav Pediatr. sourceNot checked — no full text of the source

A survey of caregivers between 2016 and 2019 noted that those coping very well with demands of raising children decreased by 5 percentage points, even preceding the COVID-19 pandemic.

“A survey of caregivers between 2016 and 2019 noted that those coping “very well” with the demands of raising children decreased by 5 percentage points, even preceding the COVID-19 pandemic.11”

• cites [11] Livingstone, 2019, Children’s data and privacy online: growing up in a digital age: an evidence reviewNot matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

Children's individual differences, such as temperament, emotion regulation, and diversity, influence their relationships with digital media.

“Children bring their own individual differences to the table, such as their temperament, emotion regulation, and diversity (eg, neurodiversity), which influence their relationships with digital media.27”

• cites [27] Porter, 2022, “Katerina gets mad”: Infants’ physiological and behavioral responses to co-viewing educational, self-regulatory media, Dev Psychobiol. sourceNot checked — no full text of the source

The scale of the problem points to largely structural factors such as digital designs and lack of societal supports for families that shape family experiences.

“The scale of the problem points to largely structural factors such as digital designs and lack of societal supports for families that shape family experiences.”

Parenting stress is substantially influenced by digital media.

“Digital media is an important contributor to parenting stress.37”

• cites [37] Clark, 2023, Overuse of Devices And Social Media Top Parent Concerns, Mott Poll Report, National Poll on Children’s Health.Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

There has been an erosion in investment in viable positive offline experiences for families, such as community spaces, extracurricular opportunities, cultural shifts in children's free play, and adequate child care.

“there has been an erosion in the investment of viable, positive offline experiences for families, such as community spaces, extracurricular opportunities, cultural shifts in children’s free play, and adequate child care.10,11”

• cites [10] Bole, 2024, Section On Minority Health E, Inclusion. The built environment and pediatric health, Pediatrics. sourceNot checked — no full text of the source
• cites [11] Livingstone, 2019, Children’s data and privacy online: growing up in a digital age: an evidence reviewNot matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

Given converging phenomena, families face an uphill challenge managing their own digital media use, setting boundaries, and monitoring or guiding children's use.

“Given these 2 converging phenomena, families face an uphill challenge when trying to manage their own digital media use, set appropriate boundaries around digital consumption, and monitor or guide their children’s use.11”

• cites [11] Livingstone, 2019, Children’s data and privacy online: growing up in a digital age: an evidence reviewNot matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

• AssumptionRests on an assumption: The digital ecosystem is immersive, vast, and deeply interwoven into family life.

Caregivers are navigating their own digital media use habits.

“What is also true is that caregivers are navigating their own digital media use habits.39”

• cites [39] Milkovich, 2025, Associations Among Problematic Internet Usage in Adolescents, Parental Internet Factors, and Parent-Adolescent Communication, J Dev Behav Pediatr. sourceNot checked — no full text of the source

A survey in March 2020 found around 70% of caregivers with children under 12 years old were very or somewhat concerned about their children's screentime.

“A survey in March 2020 found around 70% of caregivers with children under 12 years old were very or somewhat concerned about their children’s screentime.37”

• cites [37] Clark, 2023, Overuse of Devices And Social Media Top Parent Concerns, Mott Poll Report, National Poll on Children’s Health.Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

Correlational evidence suggests that children's digital media use often mirrors their caregivers' digital media use.

“Correlational evidence suggests that children’s digital media use often mirrors their caregivers’ digital media use. Such evidence finds that child screen media duration has associations with their caregivers’ screen media duration41 and teens’ problematic internet use symptoms also mirror their caregivers’ problematic internet use symptoms.39”

• cites [41] Lauricella, 2020, Parental Influence on Youth Media Use, J Child Fam Stud. sourceNot checked — no full text of the source
• cites [39] Milkovich, 2025, Associations Among Problematic Internet Usage in Adolescents, Parental Internet Factors, and Parent-Adolescent Communication, J Dev Behav Pediatr. sourceNot checked — no full text of the source

Modifiable changes to the existing digital ecosystem can create more child-centered design so children and families can access playful, developmentally attuned content and agency to volitionally engage and disengage from media.

“Modifiable changes to the existing digital ecosystem can create more child-centered design so that children and families can have access to playful, developmentally attuned content and the agency to volitionally engage and disengage from media.8,9”

• cites [8] Kidron, 2021Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

• cites [9] Kidron, 2023Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

Children's digital experiences are influenced by caregivers' own digital media use, parenting approaches to digital media, and overall quality of caregiver-child relationship.

“Children’s digital experiences are influenced by caregivers’ own digital media use, parenting approaches to digital media, and the overall quality of the caregiver-child relationship.”

Navigating the use of technology and social media ranks as one of the top reasons why caregivers say raising a child is more difficult.

“Navigating the use of technology and social media ranks as one of the top reasons why caregivers say raising a child is more difficult.11,37,38”

• cites [11] Livingstone, 2019, Children’s data and privacy online: growing up in a digital age: an evidence reviewNot matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

• cites [37] Clark, 2023, Overuse of Devices And Social Media Top Parent Concerns, Mott Poll Report, National Poll on Children’s Health.Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

• cites [38] Abbasi, 2023, Surgeon general sounds the alarm on social media use and youth mental health crisis, JAMA. sourceNot checked — no full text of the source

Connected and positive caregiver-child relationships support child development in social-emotional, language, and cognitive development.

“Connected and positive caregiver-child relationships support child development in many key ways, including social-emotional development, language development, and cognitive development.43”

• cites [43] Bowlby, 1977, The making and breaking of affectional bonds. I. Aetiology and psychopathology in the light of attachment theory. An expanded version of the Fiftieth Maudsley Lecture, delivered before the Royal College of Psychiatrists, 19 November 1976, Br J Psychiatry. sourceNot checked — no full text of the source

Notifications on mobile devices can impose multiple demands on caregivers.

“Mobile device notifications can create multiple demands for caregivers.”

Devices may also support positive caregiver-child interactions through joint media engagement, which is active co-use of digital media by caregivers and children.

“On the other hand, devices can also facilitate positive caregiver-child interactions, with joint media engagement, defined as active co-use of digital media by caregivers and children together.”

Teens' problematic internet use symptoms also mirror their caregivers' problematic internet use symptoms.

“teens’ problematic internet use symptoms also mirror their caregivers’ problematic internet use symptoms.39”

• cites [39] Milkovich, 2025, Associations Among Problematic Internet Usage in Adolescents, Parental Internet Factors, and Parent-Adolescent Communication, J Dev Behav Pediatr. sourceNot checked — no full text of the source

Survey-based correlational research has found that digital media can be used to promote familial closeness, for instance, when families play video games together.

“survey-based correlational research has found that digital media can be used to promote familial closeness—for instance, when families play video games together.55”

• cites [55] Wang, 2018, Families that play together stay together: Investigating family bonding through video games, New Media Soc. sourceNot checked — no full text of the source

Child screen media duration has associations with their caregivers' screen media duration.

“child screen media duration has associations with their caregivers’ screen media duration41”

• cites [41] Lauricella, 2020, Parental Influence on Youth Media Use, J Child Fam Stud. sourceNot checked — no full text of the source

Social drivers of health can positively shape this feedback cycle.

“Social drivers of health can positively shape this feedback cycle.34,49,50”

• cites [34] Rideout, 2019Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

• cites [49] Rideout, 2020Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

• cites [50] Rideout, 2021Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

Communicative relationships with caregivers are protective in reducing teens' likelihood for problematic internet use symptoms.

“Additionally, communicative relationships with caregivers39 are protective in reducing teens’ likelihood for problematic internet use symptoms.”

• cites [39] Milkovich, 2025, Associations Among Problematic Internet Usage in Adolescents, Parental Internet Factors, and Parent-Adolescent Communication, J Dev Behav Pediatr. sourceNot checked — no full text of the source

Digital media use involves systemic issues beyond end-user engagement and industry development.

“There are other systemic issues at play in digital media use aside from end-user engagement and industry development.11,38”

• cites [11] Livingstone, 2019, Children’s data and privacy online: growing up in a digital age: an evidence reviewNot matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

• cites [38] Abbasi, 2023, Surgeon general sounds the alarm on social media use and youth mental health crisis, JAMA. sourceNot checked — no full text of the source

Because mobile devices and their content are specifically designed to capture users' attention with frequent notifications, portability, and ease of use, they can have a particularly disruptive impact on in-person interactions.

“Because mobile devices and its content are specifically designed to capture users’ attention with frequent notifications, portability, and ease of use, they can have a particularly disruptive impact on in-person interactions.44”

• cites [44] Choe, 2023 sourceNot checked — no full text of the source

Together, these findings indicate a complex link between digital media use and language development.

“Taken together, these findings highlight the complex relationship between digital media use and language development.”

A more nuanced meta-analysis of experimental and quasi-experimental studies found educational apps benefited children's math and literacy skills.

“However, in a more nuanced meta-analysis of experimental and quasi-experimental studies, there was a beneficial impact on children’s math and literacy skills when using educational apps.89”

• cites [89] Kim, 2021, Measures matter: A meta-analysis of the effects of educational apps on preschool to grade 3 children’s literacy and math skills, AERA Open. sourceNot checked — no full text of the source

Less reading at age 3 was linked to more screen use at age 5.

“In turn, lower reading at age 3 was associated with greater screen use at age 5.91”

• cites [91] McArthur, 2021, Longitudinal associations between screen use and reading in preschool-aged children, Pediatrics. sourceNot checked — no full text of the source

Educational programming or caregiver co-viewing is associated with language benefits for children.

“However, when the programing is educational or children co-view with caregivers, there are benefits to children’s language skills.13”

• cites [13] Huston, 2014Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

Despite mixed findings, the research underscores that device use quality matters more than quantity.

“Although research findings are mixed, they do emphasize the importance of quality over quantity of device use.”

Educational media's effect may depend on a child's developmental readiness.

“Second, the impact of educational media may depend on children’s developmental readiness.”

When digital media exposure occurs matters for many developmental predictors.

“The timing of digital media exposure matters, across many predictors of children’s development.”

Child temperament is one individual difference that shapes engagement with and regulation of digital media.

“Individual differences can include child temperament, which influences how children engage with and regulate their digital media use.”

Together, these findings suggest excessive digital media use, especially noneducational, likely affects child learning.

“Taken together, these findings highlight that excessive digital media use, particularly noneducational use, likely impacts child learning.”

Infants are more likely to show transfer deficits, facing cognitive constraints in applying learning from two-dimensional screens to real-world situations.

“Research shows that infants are more likely to experience “transfer deficits,” in that they experience cognitive constraints to learning from two-dimensional screens and applying to real-world experiences.80”

• cites [80] Barr, 1999, Developmental changes in imitation from television during infancy, Child Dev. sourceNot checked — no full text of the source

Another meta-analysis found no significant associations between smartphone and tablet use and cognition or executive functioning in children aged 1.5-5.5.

“In another meta-analysis, the effects of smartphone and tablet use in particular on domains of children’s (aged 1.5–5.5 years) cognition and executive functioning showed no significant associations.84”

• cites [84] Mallawaarachchi, 2022, Associations of smartphone and tablet use in early childhood with psychosocial, cognitive and sleep factors: a systematic review and meta-analysis, Early Child Res Q. sourceNot checked — no full text of the source

Language learning benefits from animated pictures, music, and sound effects relevant to the story or content.

“Beneficial features for language learning include animated pictures, music, and sound effects that are pertinent to the story line or content.”

• cites [76] Bus, 2015, Affordances and limitations of electronic storybooks for young children’s emergent literacy, Dev Rev. sourceNot checked — no full text of the source

Which interactive feature is used also affects children's learning.

“However, the type of interactive feature also matters for children’s learning.”

Hotspots and games can distract from the story or content.

“Distracting features include hotspots and games, which may detract from the story line or content.76”

• cites [76] Bus, 2015, Affordances and limitations of electronic storybooks for young children’s emergent literacy, Dev Rev. sourceNot checked — no full text of the source

In that sample, more digital media at age 2 was linked to less reading exposure at age 3.

“In this sample, greater digital media duration at age 2 was associated with lower exposure to reading at age 3.”

• cites [91] McArthur, 2021, Longitudinal associations between screen use and reading in preschool-aged children, Pediatrics. sourceNot checked — no full text of the source

Few studies have investigated bidirectional links between digital media and cognitive components.

“To our knowledge, very few studies have examined bidirectional associations between digital media and components of cognition.”

Longitudinal studies testing bidirectional associations are limited.

“Longitudinal studies testing bidirectional associations are limited.”

In this period, children are especially responsive to the quality of early experiences.

“During this period, children are particularly sensitive and receptive to the quality of their early experiences.71”

• cites [71] Knudsen, 2004, Sensitive periods in the development of the brain and behavior, J Cogn Neurosci. sourceNot checked — no full text of the source

A large New Zealand study found that more digital media time at ages 2-4.5 predicted lower language and academic scores at ages 4.5-8.

“One study with a large sample size in New Zealand found longitudinal associations between greater digital media duration at ages 2 to 4.5 years and lower language and academic scores at ages 4.5 to 8 years.77”

• cites [77] Gath, 2025, Longitudinal associations between screen time and children’s language, early educational skills, and peer social functioning, Dev Psychol. sourceNot checked — no full text of the source

Another meta-analysis of children aged 4-14 linked digital media use to more attention problems.

“Conversely, another meta-analysis 86 including children 4 to 14 years of age, found associations between children’s digital media use and poorer attention problems.”

• cites [86] Nikkelen, 2014, Media use and ADHD-related behaviors in children and adolescents: A meta-analysis, Dev Psychol. sourceNot checked — no full text of the source

Children under 18 months are less likely than older children to learn from digital media.

“Infants younger than 18 months are less likely than older children to learn from digital media.”

The first 1000 days of life, sometimes extended to 2000, are regarded as a sensitive period for brain maturation and development.

“Early childhood, often described as the first 1000 (some describe early childhood as also including the first 2000) days of life, is considered a “sensitive period” for development and brain maturation.”

• cites [71] Knudsen, 2004, Sensitive periods in the development of the brain and behavior, J Cogn Neurosci. sourceNot checked — no full text of the source

Children's age and developmental stage affect their self-regulation around digital media.

“Age and developmental stage also matter in terms of children’s self-regulation capacities on digital media.70”

• cites [70] Madigan, 2023, Consideration of Developmental Stage and the Debate on the Effects of Screens Use-Not All Things Are Created Equal, JAMA Pediatr. sourceNot checked — no full text of the source

Assessing digital media's benefits and risks requires understanding its interaction with different developmental periods.

“Thus, understanding how digital media interacts with different developmental periods is important for assessing its potential benefits and risks.”

A meta-analysis found a small significant positive link between interactive media-enhanced stories and children's expressive language and story comprehension.

“In one meta-analysis, media-enhanced stories with interactive features (eg, puzzles, memory tasks, sound effects) had a small but significant positive association with children’s expressive language (and story comprehension).76”

• cites [76] Bus, 2015, Affordances and limitations of electronic storybooks for young children’s emergent literacy, Dev Rev. sourceNot checked — no full text of the source

Bidirectional effects suggest early digital media habits shape learning behaviors.

“The bidirectional effects suggest that early digital media habits influence learning behaviors.”

Children gain most from high-quality reading apps when caregivers co-view and mediate them.

“Additionally, children benefit the greatest from high-quality reading apps if they are co-viewed and mediated with caregivers.95”

• cites [95] Furenes, 2021, A Comparison of Children’s Reading on Paper Versus Screen: A Meta-Analysis, Rev Educ Res. sourceNot checked — no full text of the source

Structural constraints on families' opportunities are likely a substantial influence on digital media duration and developmental outcomes.

“Structural constraints on families’ opportunities are likely a substantial influence on digital media duration and developmental outcomes.”

Taken together, greater digital media use duration is associated with poorer socioemotional outcomes later in childhood to some extent.

“Taken together, findings highlight that, to some extent, greater digital media use duration is associated with poorer socioemotional outcomes later in childhood.”

Systemic disinvestment and underinvestment in many neighborhoods has led to fewer green spaces and community third spaces, making it harder for families to play outside or engage in activities outside the home.

“Furthermore, systemic disinvestment and underinvestment in many neighborhoods has led to fewer green spaces and community third spaces, which make it harder for families to play outside or engage in activities outside the home.10”

• cites [10] Bole, 2024, Section On Minority Health E, Inclusion. The built environment and pediatric health, Pediatrics. sourceNot checked — no full text of the source

High-quality educational apps can enhance learning for preschoolers and kindergarteners, including emergent literacy and mathematics.

“However, high-quality educational apps, especially with preschoolers and kindergarteners can enhance learning (eg, emergent literacy93 and mathematics94).”

• cites [93] Neumann, 2018, Using tablets and apps to enhance emergent literacy skills in young children, Early Child Res Q. sourceNot checked — no full text of the source
• cites [94] Griffith, 2020, Apps As Learning Tools: A Systematic Review, Pediatrics. sourceNot checked — no full text of the source

The same review suggests many digital distractions are present that can interfere with children and teens' learning.

“however, there are many digital distractions that are present, which can interfere with children and teens’ learning.99”

• cites [99] Harper, 2016, One-to-One Technology in K–12 Classrooms: A Review of the Literature From 2004 Through 2014, J Res Technol Educ. sourceNot checked — no full text of the source

Caregivers strongly shape their children's digital media experiences.

“Caregivers strongly shape their children’s digital media experiences.”

In a study of 1-to-1 laptops for fourth through eighth graders, short-term impacts on learning were statistically insignificant.

“One study implementing 1-to-1 laptops for fourth through eighth graders found that short-term impacts of the program were statistically insignificant in promoting learning.97”

• cites [97] Hull, 2019, One-to-One Technology and Student Outcomes: Evidence From Mooresville’s Digital Conversion Initiative sourceNot checked — no full text of the source