Fact-checker warning labels are effective even for those who distrust fact-checkers
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- 2 September 2024
- journal article
- research article
- Published by Springer Nature in Nature Human Behaviour
- Vol. 8 (10) , 1957-1967
Abstract
Warning labels from professional fact-checkers are one of the most widely used interventions against online misinformation. But are fact-checker warning labels effective for those who distrust fact-checkers? Here, in a first correlational study (N = 1,000), we validate a measure of trust in fact-checkers. Next, we conduct meta-analyses across 21 experiments (total N = 14,133) in which participants evaluated true and false news posts and were randomized to either see no warning labels or to see warning labels on a high proportion of the false posts. Warning labels were on average effective at reducing belief in (27.6% reduction), and sharing of (24.7% reduction), false headlines. While warning effects were smaller for participants with less trust in fact-checkers, warning labels nonetheless significantly reduced belief in (12.9% reduction), and sharing of (16.7% reduction), false news even for those most distrusting of fact-checkers. These results suggest that fact-checker warning labels are a broadly effective tool for combatting misinformation.Keywords
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Funding Information
- National Science Foundation (174530)
This publication has 50 references indexed in Scilit:
- Fighting misinformation among the most vulnerable usersCurrent Opinion in Psychology, 2024
- Effective correction of misinformationCurrent Opinion in Psychology, 2023
- Misinformation warning labels are widely effective: A review of warning effects and their moderating featuresCurrent Opinion in Psychology, 2023
- Digital literacy and online political behaviorPolitical Science Research and Methods, 2022
- Misinformation warnings: Twitter’s soft moderation effects on COVID-19 vaccine belief echoesComputers & Security, 2021
- The Psychology of Fake NewsTrends in Cognitive Sciences, 2021
- Cleaning Up Social Media: The Effect of Warning Labels on Likelihood of Sharing False News on FacebookPolicy & Internet, 2019
- Real Solutions for Fake News? Measuring the Effectiveness of General Warnings and Fact-Check Tags in Reducing Belief in False Stories on Social MediaPolitical Behavior, 2019
- Evaluating expert advice in forecasting: Users’ reactions to presumed vs. experienced credibilityInternational Journal of Forecasting, 2017
- How intergenerational interaction affects attitude–behavior inconsistencyJournal of Theoretical Biology, 2014