Ecker, U.K.H., Lewandowsky, S., Cook, J. et al. The psychological drivers of misinformation belief and its resistance to correction. Nat Rev Psychol 1, 13–29 (2022). https://doi.org/10.1038/s44159-021-00006-y
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TheoryTully, M., Maksl, A., Ashley, S., Vraga, E. K., & Craft, S. (2022). Defining and conceptualizing news literacy. Journalism, 23(8), 1589–1606. https://doi.org/10.1177/14648849211005888
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TheoryLeticia Bode, Emily K. Vraga, In Related News, That was Wrong: The Correction of Misinformation Through Related Stories Functionality in Social Media, Journal of Communication, Volume 65, Issue 4, August 2015, Pages 619–638, https://doi.org/10.1111/jcom.12166 This study offers evidence that social media can play a critical role in correcting misinformation as well. To do so, we designed an
Vraga, E. K., & Bode, L. (2017). Leveraging institutions, educators, and networks to correct misinformation: A commentary on Lewandosky, Ecker, and Cook. Journal of Applied Research in Memory and Cognition, 6(4), 382–388. https://doi.org/10.1016/j.jarmac.2017.09.008
Bode, L., & Vraga, E. K. (2018). See something, say something: Correction of global health misinformation on social media. Health communication, 33(9), 1131-1140. https://doi.org/10.1080/10410236.2017.1331312 Through this study we aim to answer pressing questions about the most effective way for mitigating misinformation: is it algorithmic correction, meaning the ‘related stories’ feature that facebook uses, or is
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UncategorizedVraga, E. K., & Bode, L. (2018). I do not believe you: How providing a source corrects health misperceptions across social media platforms. Information, Communication & Society, 21(10), 1337-1353. https://doi.org/10.1080/1369118X.2017.1313883 This study tests how social correction that occurs via one’s social contacts may be effective in reducing misperceptions about the causes of the spread of Zika on
Vraga, E. K., & Bode, L. (2017). Using Expert Sources to Correct Health Misinformation in Social Media. Science Communication, 39(5), 621–645. https://doi.org/10.1177/1075547017731776 This study tests whether the number (1 vs. 2) and the source (another user vs. the Centers for Disease Control and Prevention) of corrective responses are effective in reducing misperceptions. We also consider
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TwitterBode, L., Vraga, E. K., & Thorson, K. (2018). Fake News. In P. Norris, S. Cameron, & T. Wynter (Eds.), Electoral Integrity in America: Securing Democracy (pp. 114-133). Oxford University Press. https://doi.org/10.1093/oso/9780190934163.003.0007 In this article, we aim to examine whether the tone of a correction of misinformation on social media affects misperceptions about the content
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SurveyVraga, E. K., & Tully, M. (2019). Engaging with the other side: Using news media literacy messages to reduce selective exposure and avoidance. Journal of Information Technology & Politics, 16(1), 77-86. https://doi.org/10.1080/19331681.2019.1572565