Understanding and Combating Misinformation Across 16 Countries on Six Continents
Open accessAbstract
The spread of misinformation online is a global problem that requires global solutions. To that end, we conducted an experiment in 16 countries across 6 continents (N = 33,480) to investigate predictors of susceptibility to misinformation and interventions to combat misinformation. In every country, participants with a more analytic cognitive style and stronger accuracy-related motivations were better at discerning truth from falsehood; valuing democracy was also associated with greater truth discernment whereas political conservatism was negatively associated with truth discernment in most countries. Subtly prompting people to think about accuracy was broadly effective at improving the veracity of news that people were willing to share, as were minimal digital literacy tips. Finally, crowdsourced accuracy evaluation was able to differentiate true from false headlines with high accuracy in all countries. The consistent patterns we observe suggest that the psychological factors underlying the misinformation challenge are similar across the globe, and that similar solutions may be broadly effective.
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A recent cross-cultural experiment across 16 countries found broad evidence of replicability for accuracy prompts.
“a recent cross-cultural experiment across 16 countries found broad evidence of replicability for accuracy prompts”
From Accuracy prompts are a replicable and generalizable approach for reducing the spread of misinformation (2022) · cites this paper as [61]
The effect of accuracy prompts was largest in countries where participants had a greater disconnect between accuracy and sharing.
“and found evidence that the effect was largest in countries where participants had a greater disconnect between accuracy and sharing61”
From Accuracy prompts are a replicable and generalizable approach for reducing the spread of misinformation (2022) · cites this paper as [61]
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- Authors
- Arechar, A. A., Allen, J. N. L., Berinsky, A. J., Cole, R., Epstein, Z., Garimella, K., Gully, A., Lu, J. G., Ross, R. M., Stagnaro, M., Zhang, J., Pennycook, G., & Rand, D. G.
- Affiliations
- University of Nottingham (GB)
- Massachusetts Institute of Technology (US)
- Google (United States) (US)
- MIT Media Lab (US)
- Rutgers, The State University of New Jersey (US)
- Macquarie University (AU)
- University of Regina (CA)
- ORCID
- Publisher
- Center for Open Science
- Published
- 2022-02-11
- OpenAlex
- W4212947065
- Cited by
- 25
- References
- 51
- Citations by year
- 2024: 7 · 2023: 12 · 2022: 6
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Locations
- PsyArXiv (OSF Preprints) (submittedVersion, cc-by)
- PsyArXiv (OSF Preprints) (submittedVersion)
- Funders
- National Science Foundation (2047152)
- Alfred P. Sloan Foundation
- John Templeton Foundation
- William and Flora Hewlett Foundation
- Miami Foundation
- Canadian Institutes of Health Research
- Social Sciences and Humanities Research Council of Canada
- Australian Research Council (DP180102384)
- Topics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Social Sciences › Psychology › Social Psychology › Deception detection and forensic psychology
- Social Sciences › Sociology and Political Science › Islamic Finance and Communication
- Keywords
- misinformation, truth discernment, misinformation susceptibility, accuracy motivation, analytic cognitive style, political conservatism, democratic attitudes, digital literacy, news sharing, cross-cultural comparison
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.
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