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Content Moderation and Advertising in Social Media Platforms

Author

Listed:
  • Leonardo Madio
  • Martin Quinn

Abstract

We study the incentive of an ad-funded social media platform to curb the presence of unsafe content that entails reputational risk to advertisers. We identify conditions for the platform not to moderate unsafe content and demonstrate how the optimal moderation policy depends on the risk the advertisers face. The platform is likely to under-moderate unsafe content relative to the socially desirable level when both advertisers and users have congruent preferences for unsafe content and to over-moderate unsafe content when advertisers have conflicting preferences for unsafe content. Finally, to mitigate negative externalities generated by unsafe content, we study the implications of a policy that mandates binding content moderation to online platforms and how the introduction of taxes on social media activity and social media platform competition can distort the platform’s moderation strategies.

Suggested Citation

  • Leonardo Madio & Martin Quinn, 2024. "Content Moderation and Advertising in Social Media Platforms," CESifo Working Paper Series 11169, CESifo.
  • Handle: RePEc:ces:ceswps:_11169
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    References listed on IDEAS

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    Cited by:

    1. Jeon, Doh-Shin & Ichihashi, Shota & Kim, Byung-Cheol, 2024. "Mechanism Design for Ad - Suppo rted Platforms," TSE Working Papers 24-1591, Toulouse School of Economics (TSE), revised Nov 2025.
    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," Working Papers 359, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
    3. Germano, Fabrizio & Gómez, Vicenç & Sobbrio, Francesco, 2026. "Ranking for engagement: How social media algorithms fuel misinformation and polarization," Journal of Public Economics, Elsevier, vol. 255(C).
    4. Gambato, Jacopo & Sandrini, Luca, 2025. "Dance to my tune! Discovery mode and built-in recommendation bias," ZEW Discussion Papers 25-037, ZEW - Leibniz Centre for European Economic Research.
    5. Juan Wu & Zhe & Zhang & Amit Mehra, 2026. "When Is Self-Disclosure Optimal? Incentives and Governance of AI-Generated Content," Papers 2601.18654, arXiv.org.
    6. De Chiara, Alessandro & Manna, Ester & Rubí-Puig, Antoni & Segura, Adrian, 2025. "Efficient copyright filters for online hosting platforms," Information Economics and Policy, Elsevier, vol. 71(C).
    7. 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).
    8. Michael McRae, 2025. "Vertical Governance of Online Speech: Evidence from Google's Moderation Mandate," Trinity Economics Papers tep1425, Trinity College Dublin, Department of Economics.
    9. Heski Bar-Isaac & Rahul Deb & Matthew Mitchell, 2025. "Selling Certification, Content Moderation, and Attention," Papers 2506.12604, arXiv.org.
    10. 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.
    11. Khaw, Rachel, 2026. "Moderation as Strategy : How Content Decisions Shape Ideological Differentiation in Digital Platform Competition," Warwick-Monash Economics Student Papers 98, Warwick Monash Economics Student Papers.
    12. Ivan Rendo, 2025. "Excessive Content Moderation," Working Papers 25-02, NET Institute.
    13. Beknazar-Yuzbashev, George & Jiménez-Durán, Rafael & McCrosky, Jesse & Stalinski, Mateusz, 2025. "Toxic Content and User Engagement on Social Media : Evidence from a Field Experiment," The Warwick Economics Research Paper Series (TWERPS) 1543, University of Warwick, Department of Economics.

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