AI Article Synopsis

  • Misinformation on social media is a major issue, and a study tested two interventions to counter it: a credibility badge and a social norm approach.
  • The credibility badge involved a score reflecting users' engagement with true and false information, while the social norm emphasized that sharing misinformation is socially unacceptable.
  • Both interventions effectively reduced belief in false claims, improved the ability to distinguish between true and false information, and positively impacted social media engagement, suggesting they can help improve the accuracy of information online.

Article Abstract

Misinformation on social media is a pervasive challenge. In this study (N = 415) a social-media simulation was used to test two potential interventions for countering misinformation: a credibility badge and a social norm. The credibility badge was implemented by associating accounts, including participants', with a credibility score. Participants' credibility score was dynamically updated depending on their engagement with true and false posts. To implement the social-norm intervention, participants were provided with both a descriptive norm (i.e., most people do not share misinformation) and an injunctive norm (i.e., sharing misinformation is the wrong thing to do). Both interventions were effective. The social-norm intervention led to reduced belief in false claims and improved discrimination between true and false claims. It also had some positive impact on social-media engagement, although some effects were not robust to alternative analysis specifications. The presence of credibility badges led to greater belief in true claims, lower belief in false claims, and improved discrimination. The credibility-badge intervention also had robust positive impacts on social-media engagement, leading to increased flagging and decreased liking and sharing of false posts. Cumulatively, the results suggest that both interventions have potential to combat misinformation and improve the social-media information landscape.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10960008PMC
http://dx.doi.org/10.1038/s41598-024-57560-7DOI Listing

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