The research

A living evidence library.

Every claim in this curriculum traces back to a source you can check, and this page is where they all live: 207 entries, each verified through at least two independent channels, graded for reliability, and linked to the original record wherever one exists. When the research moves, this page moves with it. New studies get added, statuses get re-checked on a scheduled cycle, and anything that gets retracted stays listed and marked, because knowing what fell apart is part of knowing the field.

Last updated August 31, 2026
How to read the grades. A means meta-analysis, randomized trial, or an official diagnostic or government source. B means peer-reviewed review, rigorous survey research, or a framework paper. C means advocacy, journalism, or popular work, used in the course as a discussion artifact and never as evidence. Minus and plus signs mark strength within a band. One entry is marked Retracted: it stays on this list deliberately, taught as a lesson in why currency checks matter.

About the links. Links go to the publisher's permanent record (DOI), to PubMed, or to a preprint server. Reports without a stable archival link are listed by publisher, and links are added as they are verified rather than guessed.
Foundations 21 Framework 2 Evidence debate 30 Mechanisms 28 Exploitation and crisis 11 AI companions 26 AI relational harm 21 Protective factors 2 Law and policy 15 Practice 3 Attention and learning 19 Neuroimaging and culture 9 VR and immersive 10 Bans and regulation 10

Developmental foundations 21 sources

  • B
    Steinberg, L. (2008). A social neuroscience perspective on adolescent risk-taking. Developmental Review, 28(1), 78–106. doi:10.1016/j.dr.2007.08.002. PMID 18509515. Publisher record (DOI) →
    theoretical review
  • B
    Casey, B.J., Getz, S., & Galvan, A. (2008). The adolescent brain. Developmental Review, 28(1), 62–77. doi:10.1016/j.dr.2007.08.003. PMID 18688292. Publisher record (DOI) →
    theoretical review
  • B
    Shulman, E.P., et al. (2016). The dual systems model: Review, reappraisal, and reaffirmation. Developmental Cognitive Neuroscience, 17, 103–117. doi:10.1016/j.dcn.2015.12.010. PMID 26774291. Publisher record (DOI) →
  • B
    Blakemore, S.-J. (2008). The social brain in adolescence. Nature Reviews Neuroscience, 9(4), 267–277. doi:10.1038/nrn2353. PMID 18354399. Publisher record (DOI) →
  • B
    Blakemore, S.-J., & Mills, K.L. (2014). Is adolescence a sensitive period for sociocultural processing? Annual Review of Psychology, 65, 187–207. doi:10.1146/annurev-psych-010213-115202. PMID 24016274. Publisher record (DOI) →
    framed as hypothesis
  • B
    Somerville, L.H. (2013). The teenage brain: Sensitivity to social evaluation. Current Directions in Psychological Science, 22(2), 121–127. doi:10.1177/0963721413476512. PMID 24761055. Publisher record (DOI) →
  • A−
    Chein, J., et al. (2011). Peers increase adolescent risk taking by enhancing activity in the brain's reward circuitry. Developmental Science, 14(2), F1–F10. doi:10.1111/j.1467-7687.2010.01035.x. PMID 21499511. Publisher record (DOI) →
    fMRI experiment
  • A−
    Gogtay, N., et al. (2004). Dynamic mapping of human cortical development during childhood through early adulthood. PNAS, 101(21), 8174–8179. doi:10.1073/pnas.0402680101. PMID 15148381. Publisher record (DOI) →
    landmark longitudinal imaging; n=13
  • B
    Erikson, E.H. (1968). Identity: Youth and Crisis. W.W. Norton. ISBN 9780393097863.
    theory
  • B
    Marcia, J.E. (1966). Development and validation of ego-identity status. Journal of Personality and Social Psychology, 3(5), 551–558. doi:10.1037/h0023281. PMID 5939604. Publisher record (DOI) →
  • A
    Kroger, J., Martinussen, M., & Marcia, J.E. (2010). Identity status change during adolescence and young adulthood: A meta-analysis. Journal of Adolescence, 33(5), 683–698. doi:10.1016/j.adolescence.2009.11.002. PMID 20004962. Publisher record (DOI) →
  • B
    Steinberg, L., & Morris, A.S. (2001). Adolescent development. Annual Review of Psychology, 52, 83–110. PMID 11148300. PubMed record →
  • A−
    Steinberg, L., et al. (2008). Age differences in sensation seeking and impulsivity… Developmental Psychology, 44(6), 1764–1778. doi:10.1037/a0012955. PMID 18999337. Publisher record (DOI) →
  • B
    Carskadon, M.A. (2011). Sleep in adolescents: The perfect storm. Pediatric Clinics of North America, 58(3), 637–647. doi:10.1016/j.pcl.2011.03.003. PMID 21600346. Publisher record (DOI) →
  • B
    Crowley, S.J., et al. (2018). An update on adolescent sleep: New evidence informing the perfect storm model. Journal of Adolescence, 67, 55–65. doi:10.1016/j.adolescence.2018.06.001. PMID 29908393. Publisher record (DOI) →
  • B
    Dahl, R.E., et al. (2018). Importance of investing in adolescence from a developmental science perspective. Nature, 554, 441–450. doi:10.1038/nature25770. PMID 29469094. Publisher record (DOI) →
  • B
    Sawyer, S.M., et al. (2018). The age of adolescence. Lancet Child & Adolescent Health, 2(3), 223–228. doi:10.1016/S2352-4642(18)30022-1. PMID 30169257. Publisher record (DOI) →
    proposal, debated
  • Textbook
    Steinberg, L. Adolescence (13th ed. 2023; "2025 Release" is current; confirm copyright year with publisher before syllabus print). McGraw Hill.
  • Reference; predates smartphones; pair with #20
    Lerner, R.M., & Steinberg, L. (Eds.) (2009). Handbook of Adolescent Psychology (3rd ed.). Wiley. doi:10.1002/9780470479193. Publisher record (DOI) →
  • Reference
    Crockett, L.J., Carlo, G., & Schulenberg, J.E. (Eds.) (2023). APA Handbook of Adolescent and Young Adult Development. APA. ISBN 9781433833144.
  • Core assigned text
    Nesi, J., Telzer, E.H., & Prinstein, M.J. (Eds.) (2022). Handbook of Adolescent Digital Media Use and Mental Health. Cambridge University Press. doi:10.1017/9781108976237. Publisher record (DOI) →

The transformation framework 2 sources

  • B
    Nesi, J., Choukas-Bradley, S., & Prinstein, M.J. (2018). Transformation of adolescent peer relations in the social media context: Part 1. Clinical Child and Family Psychology Review, 21(3), 267–294. doi:10.1007/s10567-018-0261-x. PMID 29627907. Publisher record (DOI) →
    framework
  • B
    Nesi, J., Choukas-Bradley, S., & Prinstein, M.J. (2018). …Part 2. Clinical Child and Family Psychology Review, 21(3), 295–319. doi:10.1007/s10567-018-0262-9. PMID 29627906. Publisher record (DOI) →

The evidence debate 30 sources

  • C
    Haidt, J. (2024). The Anxious Generation. Penguin Press.
    popular synthesis; primary alarm text
  • C
    Twenge, J.M. (2017). iGen. Atria; and "Have Smartphones Destroyed a Generation?" The Atlantic, Sept 2017.
  • B
    Twenge, J.M., et al. (2018). Increases in depressive symptoms, suicide-related outcomes, and suicide rates among U.S. adolescents after 2010… Clinical Psychological Science, 6(1), 3–17. doi:10.1177/2167702617723376. Publisher record (DOI) →
    with published rebuttal: Ophir et al. 2020, doi:10.1177/2167702619849412
  • B
    Twenge, J.M., & Campbell, W.K. (2018). Associations between screen time and lower psychological well-being… Preventive Medicine Reports, 12, 271–283. doi:10.1016/j.pmedr.2018.10.003. PMID 30406005. Publisher record (DOI) →
    pair with #30 as same-data contrast
  • B
    Kelly, Y., et al. (2019). Social media use and adolescent mental health: Findings from the UK Millennium Cohort Study. EClinicalMedicine, 6, 59–68. doi:10.1016/j.eclinm.2018.12.005. PMID 31193561. Publisher record (DOI) →
    mediation pathways
  • B
    Odgers, C.L. (2024). The great rewiring: is social media really behind an epidemic of teenage mental illness? Nature, 628, 29–30. doi:10.1038/d41586-024-00902-2. Publisher record (DOI) →
    review essay; primary skeptic text
  • A−
    Orben, A., & Przybylski, A.K. (2019). The association between adolescent well-being and digital technology use. Nature Human Behaviour, 3, 173–182. doi:10.1038/s41562-018-0506-1. PMID 30944443. Publisher record (DOI) →
    specification curve, n=355,358
  • B
    Odgers, C.L., & Jensen, M.R. (2020). Annual Research Review: Adolescent mental health in the digital age. J Child Psychol Psychiatry, 61(3), 336–348. doi:10.1111/jcpp.13190. PMID 31951670. Publisher record (DOI) →
  • B
    Orben, A. (2020). Teenagers, screens and social media: A narrative review of reviews. Soc Psychiatry Psychiatr Epidemiol, 55(4), 407–414. doi:10.1007/s00127-019-01825-4. PMID 31925481. Publisher record (DOI) →
  • A−
    Przybylski, A.K., & Weinstein, N. (2017). A large-scale test of the Goldilocks hypothesis. Psychological Science, 28(2), 204–215. doi:10.1177/0956797616678438. PMID 28085574. Publisher record (DOI) →
    preregistered, n=120,115
  • B
    Vuorre, M., Orben, A., & Przybylski, A.K. (2021). There is no evidence that associations between adolescents' digital technology engagement and mental health problems have increased. Clinical Psychological Science, 9(5), 823–835. doi:10.1177/2167702621994549. PMID 37082461. Publisher record (DOI) →
    note the paper's own results were mixed: the social-media–emotional-problems association strengthened; contested by #35
  • B
    Sigaud, L., Rausch, Z., McClean, S., & Haidt, J. (2026). Why three studies by Vuorre and Przybylski should not be used to assess the impact of social media on adolescent mental health. Clinical Psychological Science. doi:10.1177/21677026261425910. Publisher record (DOI) →
    live dispute
  • B
    Ferguson, C.J. (2025). There is no evidence that time spent on social media is correlated with adolescent mental health problems: Findings from a meta-analysis. Professional Psychology: Research and Practice. doi:10.1037/pro0000589. Publisher record (DOI) →
    hard-skeptic pole; pull exact coefficients from full text before quoting
  • B
    Valkenburg, P.M., Meier, A., & Beyens, I. (2022). Social media use and its impact on adolescent mental health: An umbrella review. Current Opinion in Psychology, 45, 101294. doi:10.1016/j.copsyc.2021.12.006. PMID 35016087. Publisher record (DOI) →
    best single source on why the literature conflicts
  • B
    Mansfield, K., et al. (2025). From social media to artificial intelligence: improving research on digital harms in youth. Lancet Child & Adolescent Health, 9(3), 194–204. doi:10.1016/S2352-4642(24)00332-8. PMID 39855239. Publisher record (DOI) →
  • B
    Thorp, H.H. (2024). Unsettled science on social media. Science, 384(6703), 1389. doi:10.1126/science.adr1730. PMID 38935725. Publisher record (DOI) →
    editorial
  • A
    Office of the U.S. Surgeon General (2023). Social Media and Youth Mental Health: The U.S. Surgeon General's Advisory.
    federal advisory; precautionary framing
  • A
    American Psychological Association (2023). Health Advisory on Social Media Use in Adolescence; and APA (2024) follow-up report on platform design.
    professional-association advisories
  • A
    National Academies of Sciences, Engineering, and Medicine (2024). Social Media and Adolescent Health. National Academies Press. doi:10.17226/27396. Publisher record (DOI) →
    consensus study
  • A
    WHO Regional Office for Europe / HBSC (2024). Teens, screens and mental health.
    44-country surveillance
  • B
    OECD (2025). How's Life for Children in the Digital Age?; UNICEF Innocenti (2019, 2025) reports.
    pull exact statements from full PDFs before quoting figures
  • A
    Braghieri, L., Levy, R., & Makarin, A. (2022). Social media and mental health. American Economic Review, 112(11), 3660–3693. doi:10.1257/aer.20211218. Publisher record (DOI) →
    natural experiment
  • A
    Allcott, H., et al. (2020). The welfare effects of social media. AER, 110(3), 629–676. doi:10.1257/aer.20190658. Publisher record (DOI) →
    RCT, adults
  • A
    Allcott, H., et al. (2024). The effects of Facebook and Instagram on the 2020 election. PNAS, 121(21), e2321584121. PMID 38739793; and Allcott et al. (2025). The effect of deactivating Facebook and Instagram on users' emotional state. NBER w33697 / AEJ: Economic Policy doi:10.1257/pol.20240806. Publisher record (DOI) →
    RCTs, adults; Instagram effect concentrated in women under 25, exploratory
  • A
    CDC (2024). Youth Risk Behavior Survey 2023 results and 2013–2023 trends report.
    surveillance
  • A−
    Nagata, J.M., et al. (2025). Social media use and depressive symptoms during early adolescence (ABCD). JAMA Network Open, 8(5), e2511704. doi:10.1001/jamanetworkopen.2025.11704. PMID 40397441. Publisher record (DOI) →
    within-person longitudinal
  • A−
    Fassi, L., et al. (2025). Social media use in adolescents with and without mental health conditions. Nature Human Behaviour, 9, 1283–1299. doi:10.1038/s41562-025-02134-4. PMID 40325198. Publisher record (DOI) →
    Registered Report
  • B
    Goodyear, V., et al. (2025). School phone policies and their association with mental wellbeing… (SMART Schools). Lancet Regional Health – Europe. doi:10.1016/j.lanepe.2025.101211. PMID 40213498. Publisher record (DOI) →
    cross-sectional
  • C
    Haidt/Rausch collaborative review documents (ongoing Google Docs).
    curated advocacy compilations; teach as format, not evidence
  • A−
    Orben, A., Przybylski, A.K., Blakemore, S.-J., & Kievit, R.A. (2022). Windows of developmental sensitivity to social media. Nature Communications, 13, 1649. doi:10.1038/s41467-022-29296-3. PMID 35347142. Publisher record (DOI) →
    anchor paper for age windows; small, bidirectional effects

Mechanisms and clinical topics 28 sources

  • A−
    Boer, M., et al. (2020). Adolescents' intense and problematic social media use and their well-being in 29 countries. Journal of Adolescent Health, 66(6S), S89–S99. doi:10.1016/j.jadohealth.2020.02.014. PMID 32446614. Publisher record (DOI) →
    n=154,981
  • A
    Carter, B., et al. (2016). Association between portable screen-based media device access or use and sleep outcomes. JAMA Pediatrics, 170(12), 1202–1208. doi:10.1001/jamapediatrics.2016.2341. PMID 27802500. Publisher record (DOI) →
    meta-analysis, n=125,198; all cross-sectional
  • A
    Martin, K.B., et al. (2021). Interventions to control children's screen use and their effect on sleep. Journal of Sleep Research, 30(3), e13130. doi:10.1111/jsr.13130. PMID 32567219. Publisher record (DOI) →
  • B
    Twenge, J.M., Hisler, G.M., & Krizan, Z. (2019). Associations between screen time and sleep duration… Sleep Medicine, 56, 211–218. doi:10.1016/j.sleep.2018.11.009. PMID 30639033. Publisher record (DOI) →
  • A−
    Fardouly, J., Pinkus, R.T., & Vartanian, L.R. (2017). The impact of appearance comparisons… Body Image, 20, 31–39. doi:10.1016/j.bodyim.2016.11.002. PMID 27907812. Publisher record (DOI) →
    EMA
  • A−
    Kleemans, M., et al. (2018). Picture perfect: The direct effect of manipulated Instagram photos on body image in adolescent girls. Media Psychology, 21(1), 93–110. doi:10.1080/15213269.2016.1257392. Publisher record (DOI) →
    experiment
  • B
    Mazzeo, S.E., et al. (2024). Mitigating harms of social media for adolescent body image and eating disorders. Psychol Res Behav Manag, 17, 2587–2601. doi:10.2147/PRBM.S410600. PMID 38978847. Publisher record (DOI) →
  • A
    Kowalski, R.M., et al. (2014). Bullying in the digital age: Critical review and meta-analysis. Psychological Bulletin, 140(4), 1073–1137. doi:10.1037/a0035618. PMID 24512111. Publisher record (DOI) →
  • A
    van Geel, M., Vedder, P., & Tanilon, J. (2014). Peer victimization, cyberbullying, and suicide. JAMA Pediatrics, 168(5), 435–442. doi:10.1001/jamapediatrics.2013.4143. PMID 24615300. Publisher record (DOI) →
  • A
    John, A., et al. (2018). Self-harm, suicidal behaviours, and cyberbullying: Systematic review. J Med Internet Res, 20(4), e129. doi:10.2196/jmir.9044. PMID 29674305. Publisher record (DOI) →
  • A−
    Craig, W., et al. (2020). Social media use and cyber-bullying: 42 countries. Journal of Adolescent Health, 66(6S), S100–S108. doi:10.1016/j.jadohealth.2020.03.006. PMID 32446603. Publisher record (DOI) →
  • A
    Kärnä, A., et al. (2011). A large-scale evaluation of the KiVa antibullying program. Child Development, 82(1), 311–330. doi:10.1111/j.1467-8624.2010.01557.x. PMID 21291444. Publisher record (DOI) →
    cluster-RCT
  • A−
    Gaffney, H., et al. (2019). Are cyberbullying intervention and prevention programs effective? Aggression and Violent Behavior, 45, 134–153. doi:10.1016/j.avb.2018.07.002. Publisher record (DOI) →
  • A
    WHO ICD-11 Gaming Disorder (6C51); WHA72 adoption (2019); in effect Jan 1, 2022.
    official
  • A
    American Psychiatric Association, DSM-5-TR (2022): Internet Gaming Disorder, Section III (condition for further study).
    official
  • A
    Stevens, M.W.R., et al. (2021, with 2022 corrigendum). Global prevalence of gaming disorder: Meta-analysis. Aust N Z J Psychiatry, 55(6), 553–568. doi:10.1177/0004867420962851. PMID 33028074. Publisher record (DOI) →
    cite corrected figures
  • A
    Stevens, M.W.R., et al. (2019). Cognitive-behavioral therapy for Internet gaming disorder: Meta-analysis. Clin Psychol Psychother, 26(2), 191–203. doi:10.1002/cpp.2341. PMID 30341981. Publisher record (DOI) →
  • B
    Aarseth, E., et al. (2017). Scholars' open debate paper on the WHO ICD-11 Gaming Disorder proposal. J Behav Addict, 6(3), 267–270. doi:10.1556/2006.5.2016.088. PMID 28033714. Publisher record (DOI) →
    position paper
  • B
    Pluhar, E., Kavanaugh, J.R., Levinson, J.A., & Rich, M. (2019). Problematic interactive media use in teens. Psychol Res Behav Manag, 12, 447–455. doi:10.2147/PRBM.S208968. PMID 31308769. Publisher record (DOI) →
    PIMU framework
  • B
    Nereim, C., Bickham, D., & Rich, M. (2019). A primary care pediatrician's guide to assessing problematic interactive media use. Curr Opin Pediatr, 31(4), 435–441. doi:10.1097/MOP.0000000000000771. PMID 31033606. Publisher record (DOI) →
  • A−
    van den Eijnden, R.J.J.M., Lemmens, J.S., & Valkenburg, P.M. (2016). The Social Media Disorder Scale. Computers in Human Behavior, 61, 478–487. doi:10.1016/j.chb.2016.03.038. Publisher record (DOI) →
    psychometrics
  • A−
    Pontes, H.M., & Griffiths, M.D. (2015). Measuring DSM-5 Internet gaming disorder: IGDS9-SF. Computers in Human Behavior, 45, 137–143. doi:10.1016/j.chb.2014.12.006. Publisher record (DOI) →
    psychometrics
  • C
    Kardaras, N. (2016). Glow Kids. St. Martin's Press.
    advocacy artifact for debate exercise
  • B
    Peter, J., & Valkenburg, P.M. (2016). Adolescents and pornography: A review of 20 years of research. Journal of Sex Research, 53(4–5), 509–531. doi:10.1080/00224499.2016.1143441. PMID 27105446. Publisher record (DOI) →
    associations with explicit causal caveats
  • B
    Koletić, G. (2017). Longitudinal associations between the use of sexually explicit material and adolescents' attitudes and behaviors. Journal of Adolescence, 57, 119–133. doi:10.1016/j.adolescence.2017.04.006. PMID 28433892. Publisher record (DOI) →
  • B
    Robb, M.B., & Mann, S. (2023). Teens and Pornography. Common Sense Media.
    non-probability panel; average first exposure age 12
  • C+ as science / A as documented journalism
    Wells, G., Horwitz, J., & Seetharaman, D. (2021). Facebook knows Instagram is toxic for teen girls… Wall Street Journal (Facebook Files); internal slides in congressional record.
  • C
    Center for Countering Digital Hate (2022). Deadly by Design.
    advocacy demonstration, 8 seeded accounts

Exploitation, self-harm content, and crisis 11 sources

  • A
    FBI, HSI & NCMEC (Dec 2022). National Public Safety Alert on Financial Sextortion Schemes.
    official; 7,000+ reports, 3,000+ victims, dozen+ suicides
  • A
    NCMEC CyberTipline annual data (2023–2025).
    pipeline data; counting-methodology caveats
  • B+
    Thorn & NCMEC (2024). Trends in Financial Sextortion.
  • A−
    Wolak, J., Finkelhor, D., Walsh, W., & Treitman, L. (2018). Sextortion of minors: Characteristics and dynamics. Journal of Adolescent Health, 62(1), 72–79. doi:10.1016/j.jadohealth.2017.08.014. PMID 29055647. Publisher record (DOI) →
  • B
    Thorn (2025). Deepfake Nudes & Young People.
    1 in 8 young people aged 13–20 know a target; 1 in 17 victims; sample includes legal adults
  • B
    CDT (2024). In Deep Trouble: Surfacing Tech-Powered Sexual Harassment in K-12 Schools; RAND (2025). Artificially Intelligent Bullies.
  • A
    TAKE IT DOWN Act, Pub. L. 119-12 (2025); FTC enforcement guidance (2026).
    statute; platform obligations in force May 2026
  • A−
    Marchant, A., et al. (2017). A systematic review of the relationship between internet use, self-harm and suicidal behaviour in young people. PLoS One, 12(8), e0181722. doi:10.1371/journal.pone.0181722. PMID 28813437. Publisher record (DOI) →
  • A
    Molly Russell inquest (2022): coroner's conclusion and Prevention of Future Deaths report.
    judicial findings of one case
  • A−
    Reportingonsuicide.org media guidelines; Robinson, J., et al. #chatsafe (2018) doi:10.1371/journal.pone.0206584 and #chatsafe 2.0 (2023) doi:10.1371/journal.pone.0289494. Publisher record (DOI) →
    consensus methodology
  • A
    988 Suicide & Crisis Lifeline (SAMHSA, 2022– ).
    resource

AI companions and generative AI 26 sources

  • B
    Common Sense Media (2025). Talk, Trust, and Trade-Offs: How and Why Teens Use AI Companions.
    72% ever used; advocacy framing taught critically
  • C+/B−; adversarial product testing with academic partner
    Common Sense Media & Stanford Brainstorm (2025). AI Risk Assessment: Social AI Companions.
  • B+
    Pew Research Center (2025). Teens and ChatGPT for schoolwork (26%, doubled).
  • B+
    McClain, C., et al. (2026). How Teens Use and View AI. Pew Research Center.
    n=1,458; 12% emotional support
  • B
    Internet Matters (2025). Me, Myself & AI.
    vulnerable-children findings
  • A
    Ofcom (2023–2026). Online Nation; Children and Parents reports.
    regulator research; pull child-specific 2026 figures from the report PDF directly
  • A
    Garcia v. Character Technologies (M.D. Fla. 2024–2026): MTD largely denied May 2025; settlement announced Jan 2026 (finalization to re-verify).
    court record via trackers
  • B
    A.F. v. Character Technologies (E.D. Tex. 2024) and related family suits; Senate Judiciary testimony (Sept 2025).
    filings and record
  • B
    Raine v. OpenAI (S.F. Super. Ct., 2025– ): active; amended complaint alleges safeguard degradation; OpenAI answer denies.
    contested filings
  • A as journalism/primary gov document
    Reuters (2025). Meta internal GenAI content-risk standards (company-confirmed); Hawley investigation letter.
  • Corporate primary source
    Character.AI (2025). Under-18 experience changes (open-ended chat removal).
  • Corporate primary source; efficacy unverified
    OpenAI (2025). Parental controls; age prediction.
  • B
    Phang, J., et al. (OpenAI) & Fang, C.M., et al. (MIT Media Lab) (2025). Twin studies on affective use and emotional well-being.
    preprints; adult samples
  • A−
    Moore, J., et al. (2025). Expressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providers. ACM FAccT.
    peer-reviewed
  • B
    Maples, B., et al. (2024). Loneliness and suicide mitigation for students using GPT3-enabled chatbots. npj Mental Health Research, 3, 4. doi:10.1038/s44184-023-00047-6. PMID 38609517. Publisher record (DOI) →
    adults; assign with #108
  • B
    Zimmerman, J.W., & Ruiz, A.J. (2025). Matters arising… npj Ment Health Res, 4, 60. doi:10.1038/s44184-024-00083-w; and Maples et al. reply, 4, 61. doi:10.1038/s44184-025-00128-8. Publisher record (DOI) →
    critical-appraisal pair
  • B
    Morrin, H., et al. (2026). AI-associated delusions and large language models. Lancet Psychiatry, 13(6), 522–530. doi:10.1016/S2215-0366(25)00396-7. Publisher record (DOI) →
    mechanism paper; "AI psychosis" not a diagnosis
  • B
    Carlbring, P., & Andersson, G. (2025). AI psychosis is not a new threat. Internet Interventions, 42, 100882. doi:10.1016/j.invent.2025.100882. PMID 41141286. Publisher record (DOI) →
  • B
    Zhang, K., et al. (2025). Parasocial interaction and emotional support as mediators of chatbot dependence. BMC Psychology, 13, 986. doi:10.1186/s40359-025-03284-w. PMID 40883845. Publisher record (DOI) →
    cross-sectional, non-US
  • A
    American Psychological Association (2025). Health Advisory: Artificial Intelligence and Adolescent Well-being.
    professional-association advisory
  • B
    Stanford GSE / Challenge Success (2023). Cheating rates flat post-ChatGPT.
    survey research via news dissemination
  • A
    UNESCO (2024). AI Competency Frameworks for Students and Teachers.
    normative framework
  • B
    Digital Promise (2024). AI Literacy Framework.
  • A−
    Wang, R.E., et al. (2024). Tutor CoPilot: A human-AI approach for scaling real-time expertise. arXiv:2410.03017 / EdWorkingPaper 24-1054. arXiv preprint →
    RCT, working paper
  • B
    Grundmeier et al. (2026). Children and generative AI: state-of-the-art review. Pediatrics. PMID 41775335; AAP Center of Excellence Q&A on AI chatbots. PubMed record →
    closest current AAP guidance; no formal AAP policy statement on AI companions as of Aug 2026
  • A
    FTC (2025). 6(b) inquiry into AI companion chatbots (seven firms).
    primary; staff report unreleased as of Aug 2026

AI and relational harm (Aug 2026 additions) 21 sources

  • A
    Hinduja, S., & Patchin, J. (2026). Risks and harms of conversational AI chatbot use among US youth. Journal of Adolescence. doi:10.1002/jad.70164. Publisher record (DOI) →
    nationally representative, n=3,466 ages 13–17; 47.1% experienced ≥1 harmful interaction
  • A
    McBain, R.K., et al. (2026). AI chatbot use and disclosure for mental health among US adolescents and young adults. JAMA Pediatrics, 180(8), 884–890. doi:10.1001/jamapediatrics.2026.2015. PMID 42223976. Publisher record (DOI) →
    19.2% used AI for mental-health advice; 63% told no one
  • A
    Folk, D., & Dunn, E. (2026). How does turning to AI for companionship predict loneliness and vice versa? Psychological Science, 37(4), 276–286. doi:10.1177/09567976261427747. Publisher record (DOI) →
    12-month longitudinal; asymmetric loop (use→loneliness; low connection→use); exploratory analyses; ADULTS
  • A−
    Huang, S., et al. (2024). AI technology panic; is AI dependence bad for mental health? A cross-lagged panel study of adolescents. Psychol Res Behav Manag, 17.
    two-wave, n=3,843 Chinese adolescents; AI dependence incl. chatbots; MH problems → later dependence, not reverse. The adjacent-evidence citation for the "honest gap" statement
  • B−
    Kim, Xie & Yang (2025). Preregistered experiment, 284 adolescent–parent dyads (youth 11–15), relational vs. transparent chatbot styles. arXiv:2512.15117. arXiv preprint →
    preprint; exposure to transcripts, not sustained use
  • A
    Cheng, M., et al. (2026). Sycophantic AI decreases prosocial intentions and promotes dependence. Science, 391(6792). doi:10.1126/science.aec8352. Publisher record (DOI) →
    AI affirms 49% more than humans; reduces conflict-repair willingness; ADULTS
  • A
    Sun, X., Wang, Y., & McDaniel, B.T. (2026). AI companions and adolescent social relationships: Benefits, risks, and bidirectional influences. Child Development Perspectives, 20(2), 91–98. doi:10.1093/cdpers/aadaf009. Publisher record (DOI) →
    the teaching framework: displacement vs. stimulation, compensation vs. enhancement
  • B+
    Common Sense Media (2026). The Common Sense Media Census: AI Use by Tweens and Teens (inaugural annual, June 2026).
    n=1,204 ages 9–17; 86% use AI; daily users report higher loneliness (cross-sectional)
  • A−
    De Freitas, J., Oğuz-Uğuralp, Z., & Uğuralp, A.K. (2025). Emotional manipulation by AI companions. arXiv:2508.19258 / SSRN 5390377. arXiv preprint →
    manipulative farewells in 37% of companion-app goodbyes; working paper
  • A
    Zhang, R., et al. (2025). The dark side of AI companionship: A taxonomy of harmful algorithmic behaviors in human-AI relationships. CHI 2025. doi:10.1145/3706598.3713429. Publisher record (DOI) →
    six harm categories, four AI roles
  • B+
    Yang, F., & Oshio, A. (2025). Experiences in Human-AI Relationships Scale (EHARS). Current Psychology. doi:10.1007/s12144-025-07917-6. Publisher record (DOI) →
    attachment-to-AI measurement; adults only, no adolescent psychometrics
  • B+
    CDT (2025). Hand in Hand: Schools' Embrace of AI Connected to Increased Risks to Students.
    ~1 in 5 high schoolers report having had, or knowing someone who had, a romantic relationship with AI; a combined self-or-peer measure; state it exactly
  • B+
    FAccT (2025). Are measures of children's parasocial relationships ready for conversational AI? doi:10.1145/3715275.3732075. Publisher record (DOI) →
    existing child parasocial instruments not valid for reciprocal conversational AI
  • A
    Brewster, R.C.L., et al. (2025). Characteristics and safety of consumer chatbots for emergent adolescent health concerns. JAMA Network Open, 8(10), e2539022. doi:10.1001/jamanetworkopen.2025.39022. Publisher record (DOI) →
    pediatric crisis-scenario audit
  • A
    Heinz, M., et al. (2025). Randomized trial of a generative AI chatbot (Therabot) for mental health treatment. NEJM AI. doi:10.1056/AIoa2400802. Publisher record (DOI) →
    the "done right" contrast: purpose-built + supervised; ADULTS
  • A−
    RCT: Using AI to improve empathetic statements in autistic adolescents and adults. J Autism Dev Disord (2025). doi:10.1007/s10803-025-06734-x. Publisher record (DOI) →
    rare experimental evidence of AI building a relational skill, adolescent-inclusive
  • A−
    Kestin, G., et al. (2025). AI tutoring outperforms in-class active learning (RCT). Scientific Reports.
    college sample
  • B+
    De Freitas, J., & Oğuz-Uğuralp, Z. (2025). AI companions reduce loneliness (momentary). HBS working paper.
    short-term relief coexists with the Folk & Dunn long-term loop; ADULTS
  • A
    APA (Nov 2025). Health Advisory: Use of Generative AI Chatbots and Wellness Applications for Mental Health.
    companion to the June 2025 adolescent AI advisory
  • A
    Grundmeier, R.W., et al. (2026). Generative artificial intelligence: Implications for families and pediatricians. Pediatrics, 157(4). doi:10.1542/peds.2025-074912. Publisher record (DOI) →
    AAP state-of-the-art review
  • A
    2026 state AI-companion law wave: ~12–14 states enacted chatbot laws in 2026 (incl. Washington with private right of action; NY minor-companion ban with $25k fines); Ofcom opened its first OSA investigation of an AI companion service (Novi, Jan 2026).
    firm analyses + regulator records

Benefits and protective factors 2 sources

  • A−
    Berger, M.N., et al. (2022). Social media use and health and well-being of LGBTQ youth: Systematic review. J Med Internet Res, 24(9), e38449. doi:10.2196/38449. PMID 36129741. Publisher record (DOI) →
  • B
    The Trevor Project (2024). U.S. National Survey on the Mental Health of LGBTQ+ Young People.
    n>18,000, recruited sample

Law and policy 15 sources

  • A
    FTC COPPA Rule amendments (2025): effective June 23, 2025; full compliance April 22, 2026.
  • A
    KIDS Act, H.R. 7757: passed House 267–117, June 29, 2026; Senate pending. KOSA S. 1748 reintroduced 2025.
    legislative record
  • A
    NetChoice v. Bonta (9th Cir., March 2026): CAADCA mixed ruling.
    court record via firm analyses
  • A
    California SB 976: Ninth Circuit Sept 2025 (feeds-consent upheld; metrics restriction struck).
  • A
    California SB 243 (2025): companion chatbots; operative Jan 1, 2026.
    statute
  • A
    New York AI Companion Models law (eff. Nov 5, 2025); NY SAFE for Kids Act final rules (July 2026; compliance Jan 25, 2027).
  • A
    GUARD Act, S. 3062: advanced by Senate Judiciary May 2026; not law.
    legislative record
  • A
    Utah and Texas App Store Accountability Acts; SCOTUS denial of emergency applications (July 6, 2026) leaving Texas enforcement in place.
  • A
    Free Speech Coalition v. Paxton (2025): age verification upheld under intermediate scrutiny, 6–3.
  • B
    Ninth Circuit Section 230 ruling (reported Aug 2026): defense not immunity; design-defect claims proceed; MDL 3047.
    VERIFY against slip opinion; see Appendix C
  • A/B; active, re-verify
    Multistate AG v. Meta: trial begun Aug 2026 (N.D. Cal.); TikTok state suits: Minnesota MTD denied Mar 2026; individual settlements.
  • A
    UK Online Safety Act children's codes; Ofcom age-assurance report (July 2026).
  • A
    EU DSA Article 28 minors guidelines (July 2025).
  • A/B
    Australia Online Safety Amendment (Social Media Minimum Age), in effect Dec 2025; eSafety-commissioned circumvention research (Aug 2026).
  • B
    School phone-ban trackers (2026): 26 states bell-to-bell; counts vary by tracker.
    flagged

Practice guidance 3 sources

  • A
    AAP Council on Communications and Media (2016). Media use in school-aged children and adolescents. Pediatrics, 138(5), e20162592. doi:10.1542/peds.2016-2592. PMID 27940794. Publisher record (DOI) →
    historical baseline
  • A
    AAP Center of Excellence (2024). The 5 Cs of Media Use.
    current framework
  • A
    AAP / Munzer, T., et al. (2026). Digital Ecosystems, Children, and Adolescents: Policy Statement. Pediatrics, 157(2), e2025075320. doi:10.1542/peds.2025-075320. PMID 41556917. Publisher record (DOI) →
    current policy; source of the exact age-band language "early adolescence (11–14 years) may be a period of relative susceptibility to negative effects"

Attention, cognition, academics, and generative AI in learning 19 sources

  • A−
    Ophir, E., Nass, C., & Wagner, A.D. (2009). Cognitive control in media multitaskers. PNAS, 106(37), 15583–15587. doi:10.1073/pnas.0903620106. PMID 19706386. Publisher record (DOI) →
    landmark trait-group comparison, not an RCT; replication record mixed; always pair with #159
  • A−
    Wiradhany, W., & Nieuwenstein, M.R. (2017). Cognitive control in media multitaskers: Two replication studies and a meta-analysis. Attention, Perception, & Psychophysics, 79(8), 2620–2641. doi:10.3758/s13414-017-1408-4. PMID 28840547. Publisher record (DOI) →
    association weak and nonsignificant after small-study correction; "attenuated," not "debunked"
  • A−
    Ward, A.F., Duke, K., Gneezy, A., & Bos, M.W. (2017). Brain drain: The mere presence of one's own smartphone reduces available cognitive capacity. Journal of the Association for Consumer Research, 2(2), 140–154. doi:10.1086/691462. Publisher record (DOI) →
    adults; failed preregistered direct replication (#161); cite only with #161 and #162
  • A−
    Ruiz Pardo, A.C., & Minda, J.P. (2022). Reexamining the "brain drain" effect: A replication of Ward et al. (2017). Acta Psychologica, 230, 103717. doi:10.1016/j.actpsy.2022.103717. PMID 36007374. Publisher record (DOI) →
    preregistered; no effect of phone location
  • A
    Böttger, T., Poschik, M., & Zierer, K. (2023). Does the brain drain effect really exist? A meta-analysis. Behavioral Sciences, 13(9), 751. doi:10.3390/bs13090751. Publisher record (DOI) →
    22 studies; pooled g = −0.14, small, memory-specific; attention effects nonsignificant
  • A−
    Sparrow, B., Liu, J., & Wegner, D.M. (2011). Google effects on memory. Science, 333(6043), 776–778. doi:10.1126/science.1207745. PMID 21764755. Publisher record (DOI) →
    Experiment 1 failed to replicate in Camerer et al. (2018) Nature Human Behaviour 2(9), 637–644 (Social Sciences Replication Project); flag Exp. 1 specifically
  • A−
    Stothart, C., Mitchum, A., & Yehnert, C. (2015). The attentional cost of receiving a cell phone notification. JEP: Human Perception and Performance, 41(4), 893–897. doi:10.1037/xhp0000100. PMID 26121498. Publisher record (DOI) →
    small single study, adults
  • B
    Mark, G. (2023). Attention Span. Hanover Square Press.
    researcher synthesis of logging studies: on-screen attention ~47 seconds (2016–2021), down from ~2.5 minutes (2004); adults. The "8-second/goldfish attention span" has no scientific source (2015 Microsoft Canada marketing report citing an unverifiable aggregator); grade C, myth exemplar only
  • A−
    Ra, C.K., et al. (2018). Association of digital media use with subsequent symptoms of ADHD among adolescents. JAMA, 320(3), 255–263. doi:10.1001/jama.2018.8931. PMID 30027248. Publisher record (DOI) →
    longitudinal, n=2,587 ages 15–16; OR 1.11 (adjusted 1.10) per additional high-frequency activity; modest, causality undetermined; the adolescent anchor of the attention unit
  • B
    Beyens, I., Valkenburg, P.M., & Piotrowski, J.T. (2018). Screen media use and ADHD-related behaviors: Four decades of research. PNAS, 115(40), 9875–9881. doi:10.1073/pnas.1611611114. PMID 30275318. Publisher record (DOI) →
    systematic review (not a meta-analysis): "a statistically small relationship," moderated by individual differences
  • A
    Adelantado-Renau, M., et al. (2019). Association between screen media use and academic performance among children and adolescents: A systematic review and meta-analysis. JAMA Pediatrics, 173(11), 1058–1067. doi:10.1001/jamapediatrics.2019.3176. PMID 31545344. Publisher record (DOI) →
    58 studies; overall screen time null (ES −0.29, CI crosses zero); TV −0.19 and video games −0.15/−0.16 in adolescents; modality-specific, all cross-sectional
  • A
    OECD (2023). PISA 2022 Results, Volume II. doi:10.1787/a97db61c-en. Publisher record (DOI) →
    65% of students (OECD average) report device distraction in some math lessons; students distracted by classmates' devices score ~15 points lower; correlational self-report; keep the two clauses distinct
  • A−
    Paulich, K.N., et al. (2021). Screen time and early adolescent outcomes in 9- and 10-year-olds (ABCD). PLOS ONE, 16(9), e0256591. doi:10.1371/journal.pone.0256591. PMID 34496002. Publisher record (DOI) →
    n=11,875; associations modest; SES more strongly associated with outcomes than screen time; cross-sectional
  • A
    Bastani, H., Bastani, O., Sungu, A., Ge, H., Kabakcı, Ö., & Mariman, R. (2025). Generative AI without guardrails can harm learning: Evidence from high school mathematics. PNAS, 122(26), e2422633122. doi:10.1073/pnas.2422633122. PMID 40560616 (correction: PNAS 122(34), e2518204122). Publisher record (DOI) →
    field RCT, ~1,000 Turkish high-school students; GPT Base +48% practice, −17% unassisted exam; GPT Tutor guardrails eliminated the harm; the field's key adolescent RCT; cite the corrected record and the published (not working-paper) title
  • B−
    Kosmyna, N., et al. (2025). Your Brain on ChatGPT: Accumulation of cognitive debt when using an AI assistant for essay writing task. arXiv:2506.08872. arXiv preprint →
    preprint, NOT peer-reviewed as of Aug 2026; n=54 adults, only 18 in the key crossover session; teach as media-literacy exercise, never as "brain damage" evidence
  • Retracted
    Wang, J., & Fan, W. (2025). RETRACTED: The effect of ChatGPT on students' learning performance… Humanities and Social Sciences Communications, 12, 621. doi:10.1057/s41599-025-04787-y. Retracted April 22, 2026 (Retraction Note doi:10.1057/s41599-026-07310-z). Publisher record (DOI) →
    curriculum content for unit 7.5b
  • A−
    Wu, X., Zhu, P., Zhang, J., Yin, M., & Wang, Y. (2026). ChatGPT's impact on student learning outcomes: A meta-analysis of 35 experimental studies. Humanities and Social Sciences Communications, 13, 684. doi:10.1057/s41599-026-07019-z. Publisher record (DOI) →
    4,193 participants, 134 effect sizes; overall g = 0.670; cognitive g = 0.872; mostly short higher-ed studies; the current replacement for #173
  • B
    Common Sense Media (2024). The Dawn of the AI Era: Teens, Parents, and the Adoption of Generative AI at Home and School.
    n=1,045 parent–teen pairs; 7 in 10 teens have used generative AI; 37% of parents of users aware; ~60% of teens report no school rules or don't know them
  • A−
    Hunt, M.G., Marx, R., Lipson, C., & Young, J. (2018). No More FOMO: Limiting social media decreases loneliness and depression. Journal of Social and Clinical Psychology, 37(10), 751–768. doi:10.1521/jscp.2018.37.10.751. Publisher record (DOI) →
    RCT, n=143 Penn undergraduates; ~30 min/day cap for 3 weeks reduced loneliness and depressive symptoms; adult proof-of-concept, never adolescent evidence

Adolescent neuroimaging, age bands, and cross-cultural evidence 9 sources

  • B+
    Sherman, L.E., et al. (2016). The power of the like in adolescence. Psychological Science, 27(7), 1027–1035. doi:10.1177/0956797616645673. PMID 27247125. Publisher record (DOI) →
    n=32, simulated-Instagram fMRI; peer-endorsement salience, not "dopamine addiction"
  • A−
    Maza, M.T., et al. (2023). Association of habitual checking behaviors on social media with longitudinal functional brain development. JAMA Pediatrics, 177(2), 160–167. doi:10.1001/jamapediatrics.2022.4924. PMID 36595277. Publisher record (DOI) →
    n=169, 3-year longitudinal fMRI; divergent sensitivity trajectories; observational design precludes causal claims; never "rewiring"
  • A−
    Zhao, Y., et al. (2024). Screen time, sleep, brain structural neurobiology, and sequential associations with child and adolescent psychopathology (ABCD). Journal of Behavioral Addictions, 13(2), 542–553. doi:10.1556/2006.2024.00016. PMID 38662452. Publisher record (DOI) →
    n=4,641 cross-lagged with replication split; externalizing symptoms at 10–11 predicted later screen use; the symptoms-precede-screens pathway
  • A−
    Nagata, J.M., et al. (2025). Social media use trajectories and cognitive performance in adolescents. JAMA, 334(21), 1948–1950. doi:10.1001/jama.2025.16613. PMID 41082212. Publisher record (DOI) →
    research letter, n=6,554 ABCD; higher-use trajectories scored ~1–4 NIH Toolbox points lower on reading/memory; all groups within normal range; descriptive
  • A−
    Nagata, J.M., et al. (2026). Social media use and early adolescent brain structure (ABCD). NeuroImage, 331, 121860. doi:10.1016/j.neuroimage.2026.121860. PMID 41831540. Publisher record (DOI) →
    cross-sectional, n=7,614; more use associated with lower cortical thickness; no within-person change measured; "thinning" is the wrong word
  • B
    Orben, A., Meier, A., Dalgleish, T., & Blakemore, S.-J. (2024). Mechanisms linking social media use to adolescent mental health vulnerability. Nature Reviews Psychology, 3(6), 407–423. doi:10.1038/s44159-024-00307-y. Publisher record (DOI) →
    the field-standard mechanisms review; note the author list exactly (Przybylski is not an author)
  • C+
    Sapien Labs (2023). Age of First Smartphone/Tablet and Mental Wellbeing Outcomes. Global Mind Project rapid report.
    n≈28,000 adults 18–24, non-probability internet sample, retrospective, not peer-reviewed; hypothesis-generating only
  • A−
    Vuorre, M., & Przybylski, A.K. (2023). Estimating the association between Facebook adoption and well-being in 72 countries. Royal Society Open Science, 10(8), 221451. doi:10.1098/rsos.221451. PMID 37564066. Publisher record (DOI) →
    n=946,798; no evidence of widespread population-level harm; small positive-trending associations; mostly adults
  • A−
    UNICEF Innocenti (2025). Childhood in a Digital World: Screen time, digital skills and mental health.
    21 countries; exact quote: "We find no clear evidence that screen time directly harms children's mental health"; harms concentrate in online bullying and online sexual abuse

VR, AR, and immersive worlds 10 sources

  • B
    Rideout, V., et al. (2022). The Common Sense Census: Media Use by Tweens and Teens, 2021. Common Sense Media.
    17% of kids' households own a VR headset; 22% of tweens/27% of teens have tried VR
  • B+
    Pew Research Center (2024). Teens and Video Games Today.
    n=1,453 teens 13–17; 24% play video games on a VR headset
  • C+
    Piper Sandler (2023). Taking Stock With Teens, Spring 2023.
    n≈5,600; 29% own a VR device, ~4% use daily; market research, not peer-reviewed
  • A as corporate record; note: NO FTC enforcement action specific to VR and children exists as of Aug 2026; the 2025 Fairplay filing is an advocacy complaint, not an action
    Meta (2023). Parent-managed Meta accounts for preteens; Quest minimum age lowered 13→10. Corporate primary source + press coverage.
  • B+
    Hinduja, S., & Patchin, J.W. (2024). Metaverse risks and harms among US youth. New Media & Society. doi:10.1177/14614448241284413. Publisher record (DOI) →
    national sample n=5,005 ages 13–17; among metaverse users: 44.3% hate speech, 37.6% bullying, 18.1% grooming/predatory behavior; 32.6% of teens own a headset; denominators are metaverse users, not all teens
  • C+
    McIntosh, V. / Limina Immersive & NSPCC (2023). Safeguarding the Metaverse.
    NGO-commissioned scoping of VR grooming risks; NO NCMEC VR-specific statistic exists; never attach a CyberTipline number to VR claims
  • B+
    Segovia, K.Y., & Bailenson, J.N. (2009). Virtually true: Children's acquisition of false memories in virtual reality. Media Psychology, 12(4), 371–393. doi:10.1080/15213260903287267. Publisher record (DOI) →
    small experiment, preschool and elementary children; source-confusion risk, not routine memory implantation
  • A
    Eijlers, R., et al. (2019). Systematic review and meta-analysis of virtual reality in pediatrics: Effects on pain and anxiety. Anesthesia & Analgesia, 129(5), 1344–1353. doi:10.1213/ANE.0000000000004165. PMID 31136330. Publisher record (DOI) →
    pooled SMD 1.30 (pain) and 1.32 (anxiety) favoring VR distraction; wide CIs, small trials
  • B
    Altın, Y., Boşnak, Ö., & Turhan, C. (2025). Examining virtual reality interventions for social skills in children with autism spectrum disorder: A systematic review. J Autism Dev Disord, 56(6), 2162–2185. doi:10.1007/s10803-025-06741-y. PMID 39907930. Publisher record (DOI) →
    31 studies; potential benefits, methodological limitations; promising but thin
  • A−/B+; educational VR is condition-dependent; immersion can raise presence while lowering learning
    Wu, B., Yu, X., & Gu, X. (2020). Effectiveness of immersive VR head-mounted displays on learning performance: A meta-analysis. British Journal of Educational Technology, 51(6), 1991–2005. doi:10.1111/bjet.13023; and Makransky, G., Terkildsen, T.S., & Mayer, R.E. (2019). Adding immersive virtual reality to a science lab simulation causes more presence but less learning. Learning and Instruction, 60, 225–236. doi:10.1016/j.learninstruc.2017.12.007. Publisher record (DOI) →

School bans, regulation evaluation, and long-term implications 10 sources

  • B+
    Abrahamsson, S. (2024). Smartphone bans, student outcomes and mental health. NHH Department of Economics Discussion Paper 01/2024.
    quasi-experimental event study, staggered Norwegian middle-school bans; girls: fewer psychological-symptom healthcare visits, higher GPA; bullying down for both sexes; working paper, not peer-reviewed as of Aug 2026
  • B−
    Kohnstamm Instituut & Oberon (2025). Monitor of the Dutch national classroom phone ban (final report, July 2025).
    317 schools; ~75% report improved concentration, ~67% improved social climate; perception-based, no objective outcomes
  • A−
    Zendle, D., et al. (2023). No evidence that Chinese playtime mandates reduced heavy gaming in one segment of the video games industry. Nature Human Behaviour, 7(10), 1753–1766. doi:10.1038/s41562-023-01669-8. PMID 37563302. Publisher record (DOI) →
    7B+ play-hours telemetry; no meaningful reduction; one industry segment, account-level data, contested; not proof mandates "failed" for minors specifically
  • A−
    Twenge, J.M., et al. (2021). Worldwide increases in adolescent loneliness. Journal of Adolescence, 93, 257–269. doi:10.1016/j.adolescence.2021.06.006. PMID 34294429. Publisher record (DOI) →
    PISA school-loneliness data, n=1,049,784 ages 15–16; increases 2012–2018 in 36 of 37 countries, larger in girls; ecological association; "causation cannot be proven"
  • A
    WHO Commission on Social Connection (2025). From Loneliness to Social Connection.
    ~1 in 6 people globally lonely; young people report the highest rates (~21% of adolescents/young people; about 1 in 5, not 1 in 4)
  • A−
    Twenge, J.M., & Park, H. (2019). The decline in adult activities among U.S. adolescents, 1976–2016. Child Development, 90(2), 638–654. doi:10.1111/cdev.12930. PMID 28925063. Publisher record (DOI) →
    seven national surveys, N=8.44M; declines in driving, dating, working; trend begins before smartphones; a "slow life strategy" reading fits as well as a technology reading
  • B+
    Brynjolfsson, E., Chandar, B., & Chen, R. (2025, rev. Aug 2026). Canaries in the coal mine? Six facts about the recent employment effects of artificial intelligence. Stanford Digital Economy Lab working paper.
    Aug 2026 revision: employment for ages 22–25 in the most AI-exposed occupations ~19% below counterfactual trend as of June 2026; explicitly descriptive, not causal; working paper; re-verify each teaching cycle
  • B
    World Economic Forum (2025). The Future of Jobs Report 2025.
    employer-survey forecasts: 39% of core skills expected to change by 2030; 170M new/92M displaced jobs projected; forecasts, not outcomes
  • B
    Lorenz-Spreen, P., Oswald, L., Lewandowsky, S., & Hertwig, R. (2023). A systematic review of worldwide causal and correlational evidence on digital media and democracy. Nature Human Behaviour, 7(1), 74–101. doi:10.1038/s41562-022-01460-1. PMID 36344657. Publisher record (DOI) →
    496 articles; overwhelmingly adult samples; grade C when extended to adolescent claims
  • C
    Turkle, S. (2015). Reclaiming Conversation. Penguin Press.
    the "relational deskilling" hypothesis as influential theory; no direct causal evidence; cite only as theory

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