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Why Bans Fail: Tipping Points and Australia’s Social Media Ban

Author

Listed:
  • Leonardo Bursztyn

    (University of Chicago & NBER)

  • Angela Duckworth

    (University of Pennsylvania)

  • Rafael Jiménez-Durán

    (Bocconi University, IGIER, CEPR, CESifo, & Stigler Center)

  • Aaron Leonard

    (University of Chicago)

  • Filip Milojević

    (University of Chicago)

  • Christopher Roth

    (University of Cologne, ECONtribute, NHH Norwegian School of Economics, MPI for Behavioral Economics, & CEPR)

  • Cass R. Sunstein

    (Harvard Law School)

Abstract

In December 2025, Australia became the first country to ban youth under 16 years old from holding accounts on major social media platforms, a policy now under consideration in more than a dozen countries and in numerous states. Because social media use is inherently social, the effectiveness of a ban that is easy to circumvent may depend on whether compliance reaches a tipping point: a share of compliant peers high enough to make it optimal for individuals to comply themselves. We surveyed 746 Australian teenagers four months after the ban took effect and find that only about one in four 14–15-year-olds comply. The social environment around use has barely moved: most banned teens believe that their peers are still using banned platforms and cite social reasons for continuing use. Sustaining high compliance requires two ingredients: the share of compliers must be high enough and those who comply must find it preferable to continue complying. The current ban achieves neither. Teenagers report that they require roughly two-thirds of peers to stop using social media to stop themselves, far above the share currently complying. They also perceive compliers as less popular than non-compliers, so the more influential teens disproportionately stay on the platforms. Together, these patterns suggest that compliance is more likely to diminish than to rise. Sustaining higher compliance will likely require pairing the ban with instruments that act on social norms and individual incentives directly.

Suggested Citation

  • Leonardo Bursztyn & Angela Duckworth & Rafael Jiménez-Durán & Aaron Leonard & Filip Milojević & Christopher Roth & Cass R. Sunstein, 2026. "Why Bans Fail: Tipping Points and Australia’s Social Media Ban," ECONtribute Discussion Papers Series 406, University of Bonn and University of Cologne, Germany.
  • Handle: RePEc:ajk:ajkdps:406
    as

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    References listed on IDEAS

    as
    1. Leonardo Bursztyn & Ingar Haaland & Nicolas Röver & Christopher Roth & Ingar K. Haaland, 2025. "The Social Desirability Atlas," CESifo Working Paper Series 11911, CESifo.
    2. DiNardo, John & Lemieux, Thomas, 2001. "Alcohol, marijuana, and American youth: the unintended consequences of government regulation," Journal of Health Economics, Elsevier, vol. 20(6), pages 991-1010, November.
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    4. Jonathan de Quidt & Johannes Haushofer & Christopher Roth, 2018. "Measuring and Bounding Experimenter Demand," American Economic Review, American Economic Association, vol. 108(11), pages 3266-3302, November.
    5. Paola Giuliano & Nathan Nunn, 2021. "Understanding Cultural Persistence and Change," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(4), pages 1541-1581.
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    Cited by:

    1. Leonardo Bursztyn & Jan Fasnacht & Bejamin Handel & Rafael Jiménez-Durán & Aaron Leonard & Filip Milojević & Christopher Roth & Cass R. Sunstein, 2026. "Non-User Externalities," ECONtribute Discussion Papers Series 415, University of Bonn and University of Cologne, Germany.

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    JEL classification:

    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation

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