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Collaboratively adding context to social media posts reduces the sharing of false news

Author

Listed:
  • Thomas Renault

    (UP1 - Université Paris 1 Panthéon-Sorbonne)

  • David Restrepo-Amariles

    (HEC Paris - Ecole des Hautes Etudes Commerciales)

  • Aurore Troussel

    (HEC Paris - Ecole des Hautes Etudes Commerciales)

Abstract

We build a novel database of around 285,000 notes from the Twitter Community Notes program to analyze the causal influence of appending contextual information to potentially misleading posts on their dissemination. Employing a difference in difference design, our findings reveal that adding context below a tweet reduces the number of retweets by almost half. A significant, albeit smaller, effect is observed when focusing on the number of replies or quotes. Community Notes also increase by 80% the probability that a tweet is deleted by its creator. The post-treatment impact is substantial, but the overall effect on tweet virality is contingent upon the timing of the contextual information's publication. Our research concludes that, although crowdsourced fact-checking is effective, its current speed may not be adequate to substantially reduce the dissemination of misleading information on social media.

Suggested Citation

  • Thomas Renault & David Restrepo-Amariles & Aurore Troussel, 2024. "Collaboratively adding context to social media posts reduces the sharing of false news," Working Papers hal-04759221, HAL.
    • Handle: RePEc:hal:wpaper:hal-04759221
    DOI: 10.2139/ssrn.4800565
    as

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    References listed on IDEAS

    as
    1. Emeric Henry & Ekaterina Zhuravskaya & Sergei Guriev, 2022. "Checking and Sharing Alt-Facts," American Economic Journal: Economic Policy, American Economic Association, vol. 14(3), pages 55-86, August.
    2. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," NBER Working Papers 23089, National Bureau of Economic Research, Inc.
    3. Emeric Henry & Ekaterina Zhuravskaya & Sergei Guriev, 2022. "Checking and Sharing Alt-Facts," PSE-Ecole d'économie de Paris (Postprint) halshs-03342759, HAL.
    4. Emeric Henry & Ekaterina Zhuravskaya & Sergei Guriev, 2022. "Checking and Sharing Alt-Facts," Post-Print halshs-03342759, HAL.
    5. Callaway, Brantly & Sant’Anna, Pedro H.C., 2021. "Difference-in-Differences with multiple time periods," Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.
    6. Gordon Pennycook & Adam Bear & Evan T. Collins & David G. Rand, 2020. "The Implied Truth Effect: Attaching Warnings to a Subset of Fake News Headlines Increases Perceived Accuracy of Headlines Without Warnings," Management Science, INFORMS, vol. 66(11), pages 4944-4957, November.
    7. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 211-236, Spring.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Content moderation; Fake news; Information diffusion; Social media;
    All these keywords.

    JEL classification:

    • K10 - Law and Economics - - Basic Areas of Law - - - General (Constitutional Law)

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