Twitter

Vraga, E., Tully, M., & Bode, L. (2022). Assessing the relative merits of news literacy and corrections in responding to misinformation on Twitter. New Media & Society, 24(10), 2354–2371. https://doi.org/10.1177/1461444821998691 In this holistic study we study the combined impact of two strategies to battle misinformation– Observational Correction, a reactive approach to specific pieces of misinformation

Vraga, 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

Vraga, E. K., Kim, S. C., & Cook, J. (2019). Testing logic-based and humor-based corrections for science, health, and political misinformation on social media. Journal of Broadcasting & Electronic Media, 63(3), 393-414. https://doi.org/10.1080/08838151.2019.1653102

 Bode, L., Vraga, E. K., & Tully, M. (2021). Correcting Misperceptions About Genetically Modified Food on Social Media: Examining the Impact of Experts, Social Media Heuristics, and the Gateway Belief Model. Science Communication, 43(2), 225–251. https://doi.org/10.1177/1075547020981375 Current research suggests that expert organizations can be effective in reducing misperceptions when they respond to health and scientific

Bode, L., Vraga, E. K., & Tully, M. (2020). Do the right thing: Tone may not affect correction of misinformation on social media. Harvard Kennedy School (HKS) Misinformation Review. https://doi.org/10.37016/mr-2020-026 In this article, we aim to examine whether  the tone of a correction of misinformation on social media affects misperceptions about the content of the

Tully, M., Bode, L., & Vraga, E. K. (2020). Mobilizing Users: Does Exposure to Misinformation and Its Correction Affect Users’ Responses to a Health Misinformation Post? Social Media + Society, 6(4). https://doi.org/10.1177/2056305120978377 Research shows that misinformation can spread quicker when users “like”, “share” or “reply” to them and observational correction is a promising strategy for