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Celebrity messages reduce online hate and limit its spread

Author

Listed:
  • Jahani, Eaman
  • Kolic, Blas
  • Tonneau, Manuel
  • Lin, Hause

    (Massachusetts Institute of Technology)

  • Barkoczi, Daniel
  • Fraiberger, Samuel P.

Abstract

Online hate spreads rapidly, yet little is known about whether preventive and scalable strategies can curb it. We conducted the largest randomized controlled trial of hate speech prevention to date: a 20-week messaging campaign on X in Nigeria targeting ethnic hate. 73,136 users who had previously engaged with hate speech were randomly assigned to receive prosocial video messages from Nigerian celebrities. The campaign reduced hate content by 2.5% to 5.5% during treatment, with about 75% of the reduction persisting over the following four months. Reaching a larger share of a user’s audience reduced amplification of that user’s hate posts among both treated and untreated users, cutting hate reposts by over 50% for the most exposed accounts. Scalable messaging can limit online hate without removing content.

Suggested Citation

  • Jahani, Eaman & Kolic, Blas & Tonneau, Manuel & Lin, Hause & Barkoczi, Daniel & Fraiberger, Samuel P., 2026. "Celebrity messages reduce online hate and limit its spread," SocArXiv qmvuh_v1, Center for Open Science.
  • Handle: RePEc:osf:socarx:qmvuh_v1
    DOI: 10.31219/osf.io/qmvuh_v1
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    References listed on IDEAS

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    1. Eckles Dean & Karrer Brian & Ugander Johan, 2017. "Design and Analysis of Experiments in Networks: Reducing Bias from Interference," Journal of Causal Inference, De Gruyter, vol. 5(1), pages 1-23, March.
    2. Karsten Müller & Carlo Schwarz, 2021. "Fanning the Flames of Hate: Social Media and Hate Crime [Radio and the Rise of The Nazis in Prewar Germany]," Journal of the European Economic Association, European Economic Association, vol. 19(4), pages 2131-2167.
    3. Rosenbaum, Paul R., 2007. "Interference Between Units in Randomized Experiments," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 191-200, March.
    4. Carlos Arcila Calderón & Patricia Sánchez Holgado & Jesús Gómez & Marcos Barbosa & Haodong Qi & Alberto Matilla & Pilar Amado & Alejandro Guzmán & Daniel López-Matías & Tomás Fernández-Villazala, 2024. "From online hate speech to offline hate crime: the role of inflammatory language in forecasting violence against migrant and LGBT communities," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    5. Siegel, Alexandra A. & Badaan, Vivienne, 2020. "#No2Sectarianism: Experimental Approaches to Reducing Sectarian Hate Speech Online," American Political Science Review, Cambridge University Press, vol. 114(3), pages 837-855, August.
    6. Munger, Kevin, 2021. "Don’t @ Me: Experimentally Reducing Partisan Incivility on Twitter," Journal of Experimental Political Science, Cambridge University Press, vol. 8(2), pages 102-116, July.
    7. Ruben Enikolopov & Alexey Makarin & Maria Petrova, 2023. "Online Corrigendum to “Social Media and Protest Participation: Evidence From Russia”," Econometrica, Econometric Society, vol. 91(3), pages 1-24, May.
    8. Robert M. Bond & Christopher J. Fariss & Jason J. Jones & Adam D. I. Kramer & Cameron Marlow & Jaime E. Settle & James H. Fowler, 2012. "A 61-million-person experiment in social influence and political mobilization," Nature, Nature, vol. 489(7415), pages 295-298, September.
    9. Brett R. Gordon & Robert Moakler & Florian Zettelmeyer, 2023. "Close Enough? A Large-Scale Exploration of Non-Experimental Approaches to Advertising Measurement," Marketing Science, INFORMS, vol. 42(4), pages 768-793, July.
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