Fighting COVID-19 Misinformation on Social Media: Experimental Evidence for a Scalable Accuracy-Nudge Intervention
Gordon Pennycook, Jonathon McPhetres, Yunhao Zhang, Jackson G. Lu, David G. Rand
University of Regina Massachusetts Institute of Technology Institute of Cognitive and Brain Sciences Data & Society Research Institute
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摘要与影响
Across two studies with more than 1,700 U.S. adults recruited online, we present evidence that people share false claims about COVID-19 partly because they simply fail to think sufficiently about whether or not the content is accurate when deciding what to share. In Study 1, participants were far worse at discerning between true and false content when deciding what they would share on social media relative to when they were asked directly about accuracy. Furthermore, greater cognitive reflection and science knowledge were associated with stronger discernment. In Study 2, we found that a simple accuracy reminder at the beginning of the study (i.e., judging the accuracy of a non-COVID-19-related headline) nearly tripled the level of truth discernment in participants' subsequent sharing intentions. Our results, which mirror those found previously for political fake news, suggest that nudging people to think about accuracy is a simple way to improve choices about what to share on social media.
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社会科学Misinformation and Its Impacts
Psychology of Moral and Emotional Judgment · Hate Speech and Cyberbullying Detection
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