Accepted for/Published in: JMIR Infodemiology
Date Submitted: Oct 12, 2021
Open Peer Review Period: Oct 12, 2021 - Dec 7, 2021
Date Accepted: Mar 31, 2022
(closed for review but you can still tweet)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Polarization of COVID-19 Vaccine Discourse on Twitter: Implications for Vaccine Policy
ABSTRACT
Since COVID-19 vaccines became broadly available to the adult population, sharp divergences in uptake have emerged along partisan lines. Researchers have pointed to a polarized social media presence contributing to the spread of mis-/dis-information as being responsible for these growing partisan gaps in uptake. The major aim of this study was to identify and describe influential actors, topics, behaviors, and community structures related to COVID-19 vaccine conversations on Twitter prior to the vaccine roll-out to the general population and discuss implications for vaccine promotion and policy. Using Twitter data on COVID-19 vaccination during July 2020, we found that Twitter vaccine conversations were highly polarized with different actors occupying separate “clusters.” The anti-vaccine cluster was the most densely connected group. Among the 100 most influential actors, medical experts are outnumbered both by partisan actors and by activist vaccine skeptics/conspiracy theorists. Scientists and medical actors were largely absent from the conservative network, and anti-vaccine sentiment was especially salient among actors on the political right. Conversations related to COVID-19 vaccines are highly polarized along partisan lines with “trust” in vaccines being manipulated to the political advantage of partisan actors.
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.