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Fighting COVID-19 Misinformation on Social Media: Experimental Evidence for a Scalable Accuracy-Nudge Intervention
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 wo...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7366427/ https://www.ncbi.nlm.nih.gov/pubmed/32603243 http://dx.doi.org/10.1177/0956797620939054 |
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author | Pennycook, Gordon McPhetres, Jonathon Zhang, Yunhao Lu, Jackson G. Rand, David G. |
author_facet | Pennycook, Gordon McPhetres, Jonathon Zhang, Yunhao Lu, Jackson G. Rand, David G. |
author_sort | Pennycook, Gordon |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7366427 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-73664272020-08-13 Fighting COVID-19 Misinformation on Social Media: Experimental Evidence for a Scalable Accuracy-Nudge Intervention Pennycook, Gordon McPhetres, Jonathon Zhang, Yunhao Lu, Jackson G. Rand, David G. Psychol Sci Psychological Science in the Public Eye 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. SAGE Publications 2020-06-30 2020-07 /pmc/articles/PMC7366427/ /pubmed/32603243 http://dx.doi.org/10.1177/0956797620939054 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Psychological Science in the Public Eye Pennycook, Gordon McPhetres, Jonathon Zhang, Yunhao Lu, Jackson G. Rand, David G. Fighting COVID-19 Misinformation on Social Media: Experimental Evidence for a Scalable Accuracy-Nudge Intervention |
title | Fighting COVID-19 Misinformation on Social Media:
Experimental Evidence for a Scalable Accuracy-Nudge
Intervention |
title_full | Fighting COVID-19 Misinformation on Social Media:
Experimental Evidence for a Scalable Accuracy-Nudge
Intervention |
title_fullStr | Fighting COVID-19 Misinformation on Social Media:
Experimental Evidence for a Scalable Accuracy-Nudge
Intervention |
title_full_unstemmed | Fighting COVID-19 Misinformation on Social Media:
Experimental Evidence for a Scalable Accuracy-Nudge
Intervention |
title_short | Fighting COVID-19 Misinformation on Social Media:
Experimental Evidence for a Scalable Accuracy-Nudge
Intervention |
title_sort | fighting covid-19 misinformation on social media:
experimental evidence for a scalable accuracy-nudge
intervention |
topic | Psychological Science in the Public Eye |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7366427/ https://www.ncbi.nlm.nih.gov/pubmed/32603243 http://dx.doi.org/10.1177/0956797620939054 |
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