Appealing to Sense and Sensibility: System 1 and System 2 Interventions for Fake News on Social Media
Patricia L. Moravec (),
Antino Kim () and
Alan R. Dennis ()
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Patricia L. Moravec: Information, Risk, and Operations Management Department, McCombs School of Business, University of Texas at Austin, Austin, Texas 78705
Antino Kim: Operations and Decision Technologies Department, Kelley School of Business, Indiana University, Bloomington, Indiana 47405
Alan R. Dennis: Operations and Decision Technologies Department, Kelley School of Business, Indiana University, Bloomington, Indiana 47405
Information Systems Research, 2020, vol. 31, issue 3, 987-1006
Abstract:
Disinformation on social media—commonly called “fake news”—has become a major concern around the world, and many fact-checking initiatives have been launched to mitigate the problem. The way fact-checking results are presented to social media users is important because if the presentation format is not persuasive, then fact-checking may not be effective. For instance, Facebook tested the idea of flagging dubious articles in 2017 but concluded that it was ineffective and subsequently removed the feature. We conducted three experiments with social media users to investigate two different approaches to implementing a fake news flag—one designed to have its primary effect when processed by automatic cognition (System 1) and the other designed to have its primary effect when processed by deliberate cognition (System 2). We found that both interventions were effective, and an intervention that combined both approaches was about twice as effective. We also found that awareness training on the meaning of the flags increased the effectiveness of the System 2 intervention but not the System 1 intervention, exactly as theory predicts. Believability, in turn, influenced the extent to which users would engage with the article (e.g., read, like, comment, and share). Our results suggest that both theoretical routes can be used—separately or together—in the presentation of fact-checking results in order to reduce the influence of fake news on the users.
Keywords: social media; fake news; disinformation; dual process cognition; credibility (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (6)
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Persistent link: https://EconPapers.repec.org/RePEc:inm:orisre:v:31:y:2020:i:3:p:987-1006
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