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Implications of Revenue Models and Technology for Content Moderation Strategies

Author

Listed:
  • Yi Liu

    (The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania 19104)

  • Pinar Yildirim

    (The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania 19104)

  • Z. John Zhang

    (The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania 19104)

Abstract

This paper develops a theoretical model to study the economic incentives for a social media platform to moderate user-generated content. We show that a self-interested platform can use content moderation as an effective marketing tool to expand its installed user base, to increase the utility of its users, and to achieve its positioning as a moderate or extreme content platform. For the purpose of maximizing its own profit, a platform balances pruning some extreme content, thus losing some users, with gaining new users because of more moderate content on the platform. This balancing act plays out differently depending on whether users have to pay to join (subscription versus advertising revenue models) and on whether the technology for content moderation is perfect. We show that, when conducting content moderation optimally, a platform under advertising is more likely to moderate its content than one under subscription but does it less aggressively compared with the latter when it does. This is because a platform under advertising is more concerned about expanding its user base, whereas a platform under subscription is also concerned with users’ willingness to pay. We also show a platform’s optimal content moderation strategy depends on its technical sophistication. Because of imperfect technology, a platform may optimally throw away the moderate content more than the extreme content. Therefore, one cannot judge how extreme a platform is by just looking at its content moderation strategy. Furthermore, we show that a platform under advertising does not necessarily benefit from a better technology for content moderation, but one under subscription does as the latter can always internalize the benefits of a better technology. This means that platforms under different revenue models can have different incentives to improve their content moderation technology. Finally, we draw managerial and policy implications from our insights.

Suggested Citation

  • Yi Liu & Pinar Yildirim & Z. John Zhang, 2022. "Implications of Revenue Models and Technology for Content Moderation Strategies," Marketing Science, INFORMS, vol. 41(4), pages 831-847, July.
  • Handle: RePEc:inm:ormksc:v:41:y:2022:i:4:p:831-847
    DOI: 10.1287/mksc.2022.1361
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    References listed on IDEAS

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