Fighting COVID-19 misinformation on social media: Experimental evidence for a scalable accuracy nudge intervention
Open accessAbstract
Across two studies with over 1,600 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 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 are asked directly about accuracy. Furthermore, 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 – more than doubled the level of truth discernment in participants’ 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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There is mixed research regarding whether corrections may actually increase belief in the original misinformation or in other misleading claims that fail to get corrected.
“Moreover, there is mixed research regarding whether corrections may actually increase belief in the original misinformation 121,124-126 or in other misleading claims that fail to get corrected 127 .”
From Using social and behavioural science to support COVID-19 pandemic response (2020) · cites this paper as [127]
Citation 127 is attached to the suggestion that corrections may increase belief in other misleading claims that go uncorrected. The Statement of Relevance and Discussion describe an accuracy nudge that improved sharing decisions, not corrections or their effects on belief in uncorrected claims. Searches for correction backfire and uncorrected misinformation found no passage addressing that point; page numbers were unavailable in our copy. (LLM, conf=0.76)
Experimental — accuracy not yet measuredThere is a disconnect between perceptions of accuracy and sharing intentions: even when participants are good at distinguishing true and false headlines when asked to judge accuracy, this ability often does not translate to sharing.
“Recent work has observed that there is a disconnect between perceptions of accuracy and sharing intentions: Even when participants are quite good at distinguishing between true and false headlines (if they are asked to judge accuracy), this ability to discern truth from falsehood often does not translate to sharing24–26.”
From Accuracy prompts are a replicable and generalizable approach for reducing the spread of misinformation (2022) · cites this paper as [26]
Prompting participants to think about accuracy reduces the disconnect between accuracy judgments and sharing intentions and thereby increases the quality of news shared.
“Evidence for the role of inattention comes from experiments in which prompting participants to think about the concept of accuracy – for example, by asking them to evaluate the accuracy of a random headline at the beginning of the study – reduces the disconnect between accuracy judgments and sharing intentions, and thereby increases the quality of news shared24–26.”
From Accuracy prompts are a replicable and generalizable approach for reducing the spread of misinformation (2022) · cites this paper as [26]
There is a dissociation between accuracy judgments and sharing intentions observed in past work.
“given the dissociation between accuracy judgments and sharing intentions observed in past work24–26”
From Accuracy prompts are a replicable and generalizable approach for reducing the spread of misinformation (2022) · cites this paper as [26]
The accuracy prompts are effective because they draw attention back to accuracy.
“and that the accuracy prompts are effective because they draw attention back to accuracy24,26”
From Accuracy prompts are a replicable and generalizable approach for reducing the spread of misinformation (2022) · cites this paper as [26]
In the experiments analyzed here, the true headlines were typically fairly ambiguous.
“In the experiments analyzed here, the true headlines were typically fairly ambiguous - see, for example, pre-test data24 and accuracy-only conditions26 in recent accuracy prompt studies”
From Accuracy prompts are a replicable and generalizable approach for reducing the spread of misinformation (2022) · cites this paper as [26]
Only roughly 60% of true headlines were rated as accurate in recent accuracy prompt studies.
“where only roughly 60% of true headlines were rated as accurate”
From Accuracy prompts are a replicable and generalizable approach for reducing the spread of misinformation (2022) · cites this paper as [26]
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MEMETAKAN PESAN HOAKS BERITA COVID-19 DI INDONESIA LINTAS KATEGORI, SUMBER, DAN JENIS DISINFORMASI
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Verificación en la infodemia de la Covid-19. El caso Newtral
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Adherence to behavioral Covid-19 mitigation measures strongly predicts mortality
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A Model of Online Misinformation
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Profiling Fake News Spreaders on Social Media through Psychological and Motivational Factors
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Divulgação Científica no combate às Fake News em tempos de Covid-19
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The Development and Validation of the Epistemic Vice Scale
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A value-driven approach to addressing misinformation in social media
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- Authors
- Pennycook, G., McPhetres, J., Zhang, Y., Lu, J. G., & Rand, D. G.
- Affiliations
- University of Regina (CA)
- Massachusetts Institute of Technology (US)
- Corresponding author
- Pennycook, Gordon
- Publisher
- Center for Open Science
- Published
- 2020-03-17
- OpenAlex
- W4232317699
- Cited by
- 390
- References
- 37
- Citations by year
- 2026: 4 · 2025: 8 · 2024: 52 · 2023: 43 · 2022: 67 · 2021: 113 · 2020: 102 · 2019: 1
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Locations
- PsyArXiv (OSF Preprints) (submittedVersion, cc-by)
- OSF Preprints (OSF Preprints) (submittedVersion, cc-by)
- PsyArXiv (OSF Preprints) (submittedVersion)
- OSF Preprints (OSF Preprints) (submittedVersion)
- Funders
- John Templeton Foundation
- William and Flora Hewlett Foundation
- Miami Foundation
- Social Sciences and Humanities Research Council of Canada
- Topics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Social Sciences › Communication › Communication and COVID-19 Impact
- Social Sciences › Decision Sciences › Information Systems and Management › Academic Publishing and Open Access
- Keywords
- COVID-19 misinformation, social media sharing, truth discernment, fake news, cognitive reflection, scientific knowledge
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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