Debunking

A Meta-Analysis of the Psychological Efficacy of Messages Countering Misinformation

Man pui Sally Chan, Christopher R. Jones, Kathleen Hall Jamieson, Dolores Albarracin

Research output: Contribution to journalArticle

Abstract

This meta-analysis investigated the factors underlying effective messages to counter attitudes and beliefs based on misinformation. Because misinformation can lead to poor decisions about consequential matters and is persistent and difficult to correct, debunking it is an important scientific and public-policy goal. This meta-analysis (k = 52, N = 6,878) revealed large effects for presenting misinformation (ds = 2.41–3.08), debunking (ds = 1.14–1.33), and the persistence of misinformation in the face of debunking (ds = 0.75–1.06). Persistence was stronger and the debunking effect was weaker when audiences generated reasons in support of the initial misinformation. A detailed debunking message correlated positively with the debunking effect. Surprisingly, however, a detailed debunking message also correlated positively with the misinformation-persistence effect.

Original languageEnglish (US)
Pages (from-to)1531-1546
Number of pages16
JournalPsychological Science
Volume28
Issue number11
DOIs
StatePublished - Nov 1 2017

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Meta-Analysis
Communication
Psychology
Public Policy

Keywords

  • belief persistence/perseverance
  • continued influence
  • correction
  • misinformation
  • open data
  • science communication

ASJC Scopus subject areas

  • Psychology(all)

Cite this

Debunking : A Meta-Analysis of the Psychological Efficacy of Messages Countering Misinformation. / Chan, Man pui Sally; Jones, Christopher R.; Hall Jamieson, Kathleen; Albarracin, Dolores.

In: Psychological Science, Vol. 28, No. 11, 01.11.2017, p. 1531-1546.

Research output: Contribution to journalArticle

Chan, Man pui Sally ; Jones, Christopher R. ; Hall Jamieson, Kathleen ; Albarracin, Dolores. / Debunking : A Meta-Analysis of the Psychological Efficacy of Messages Countering Misinformation. In: Psychological Science. 2017 ; Vol. 28, No. 11. pp. 1531-1546.
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