Publication | Closed Access
Using Expert Sources to Correct Health Misinformation in Social Media
523
Citations
60
References
2017
Year
Fake NewsMisinformationSocial MediaPreventive MedicineHealth CommunicationBiasSingle CorrectionPublic HealthDisinformation DetectionContent AnalysisMedical Error PreventionPublic Health OrganizationsHealth PolicyOutcomes ResearchHuman ErrorFact CheckingHealth DataArtsHealth Informatics
This study tests whether the number (1 vs. 2) and the source (another user vs. the Centers for Disease Control and Prevention [CDC]) of corrective responses affect successful reduction of misperceptions. Using an experimental design, our results suggest that while a single correction from another user did not reduce misperceptions, the CDC on its own could correct misinformation. Corrections were more effective among those higher in initial misperceptions. Notably, organizational credibility was not reduced when correcting misinformation, making this a low-cost behavior for public health organizations. We recommend that expert organizations like the CDC immediately and personally rebut misinformation about health issues on social media.
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