Debunking: A Meta-Analysis of the Psychological Efficacy of Messages Countering Misinformation
- PMID: 28895452
- PMCID: PMC5673564
- DOI: 10.1177/0956797617714579
Debunking: A Meta-Analysis of the Psychological Efficacy of Messages Countering Misinformation
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.
Keywords: belief persistence/perseverance; continued influence; correction; misinformation; open data; science communication.
Conflict of interest statement
Figures
References
-
- Arceneaux K. (2012). Cognitive biases and the strength of political arguments. American Journal of Political Science, 56, 271–285. doi: 10.1111/j.1540-5907.2011.00573.x - DOI
-
- Arceneaux K., Johnson M., Cryderman J. (2013). Communication, persuasion, and the conditioning value of selective exposure: Like minds may unite and divide but they mostly tune out. Journal of Political Communication, 30, 213–231. doi: 10.1080/10584609.2012.737424 - DOI
-
- *Berinsky A. J. (2012). Rumors, truths, and reality: A study of political misinformation. Retrieved from http://web.mit.edu/berinsky/www/files/rumor.pdf
-
- Borenstein M., Hedges L., Higgins J., Rothstein H. (2009). Introduction to meta-analysis. New York, NY: Wiley.
-
- *Bullock J. G. (2007). Experiments on partisanship and public opinion: Party cues, false beliefs, and Bayesian updating. Department of Political Science, Stanford University; Retrieved from https://books.google.com/books/about/Experiments_on_Partisanship_and_Pub...
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
