Fighting COVID-19 Misinformation on Social Media: Experimental Evidence for a Scalable Accuracy-Nudge Intervention
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Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
- Teacher spread
- 0.130 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
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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The record
- Venue
- Psychological Science
- Topic
- Misinformation and Its Impacts
- Field
- Social Sciences
- Canadian institutions
- University of Regina
- Funders
- Social Sciences and Humanities Research Council of CanadaWilliam and Flora Hewlett FoundationCanadian Institutes of Health ResearchMiami FoundationJohn Templeton Foundation
- Keywords
- HeadlinePsychologyMisinformationSocial mediaDiscernmentSocial psychologyCoronavirus disease 2019 (COVID-19)Social distanceFake newsConfirmation biasMasking (illustration)Internet privacyAdvertisingComputer scienceEpistemology
- Has abstract in OpenAlex
- yes