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Social Media Toxicity and Mental Health

Author

Listed:
  • George Beknazar-Yuzbashev

    (University of Chicago)

  • Francesco Capozza

    (University of Barcelona)

  • Kylan Rutherford

    (New York University)

  • Mateusz Stalinski

    (University of Warwick)

Abstract

We study whether content-level moderation that reduces exposure to social media toxicity, holding platform access constant, affects mental health. We deploy, for randomly assigned users, a cross-platform browser extension that hides posts and comments exceeding a prespecified toxicity threshold, and follow N = 664 desktop users over a six-week intervention across two waves– one during the 2024 U.S. election campaign and one outside of it. Contrary to basic intuition, filtering toxicity worsens mental health: treatment raises a standardized index of GAD-7 and PHQ-8 symptoms by 0.15σ, and the share of respondents above a moderate-symptom screening cutoff rises by about 12 pp. A QALY-based calibration implies a welfare cost of about $158 per treated participant. Heightened loneliness and a diminished relative moral self-view emerge as potential channels. We conclude that curbing toxic content can impose unintended psychological costs, even where it yields other social benefits.

Suggested Citation

  • George Beknazar-Yuzbashev & Francesco Capozza & Kylan Rutherford & Mateusz Stalinski, 2026. "Social Media Toxicity and Mental Health," The Warwick Economics Research Paper Series (TWERPS) 1624, University of Warwick, Department of Economics.
  • Handle: RePEc:wrk:warwec:1624
    as

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    File URL: https://warwick.ac.uk/fac/soc/economics/research/workingpapers/2026/twerp_1624-stalinski.pdf
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    References listed on IDEAS

    as
    1. George Beknazar-Yuzbashev & Rafael Jiménez-Durán & Jesse McCrosky & Mateusz Stalinski, 2025. "Toxic Content and User Engagement on Social Media: Evidence from a Field Experiment," CESifo Working Paper Series 11644, CESifo.
    2. Beknazar-Yuzbashev, George & Jiménez-Durán, Rafael & McCrosky, Jesse & Stalinski, Mateusz, 2025. "Toxic Content and User Engagement on Social Media: Evidence from a Field Experiment," CAGE Online Working Paper Series 741, Competitive Advantage in the Global Economy (CAGE).
    Full references (including those not matched with items on IDEAS)

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    Keywords

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    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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