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This research examined the themes that emerge from online discussions of the COVID-19 vaccines to assist health communicators and officials in combating misinformation in health-related discussions. Using framing theory and the diffusion of innovation framework, this study presents findings from a semantic network analysis of 3842 tweets collected during the first week of February 2022. The authors calculated betweenness and page rank centrality scores for Twitter users participating in the online dialogue and identified 36 semantic themes. Findings revealed that the most influential dialogue participants were retired health and medical professionals, data analysts, journalists, online advocates, and politicians. The frames identified in the study contained several misinformation narratives about the COVID-19 vaccines. The authors discuss the implications of these findings for health officials and communicators as well as the theoretical implications of the diffusion of misinformation and framing as a tool to reiterate untruths.
Sisco et al. (Wed,) studied this question.