COVID-19 Vaccines: Characterizing Misinformation Campaigns and Vaccine
Hesitancy on Twitter
- URL: http://arxiv.org/abs/2106.08423v1
- Date: Tue, 15 Jun 2021 20:32:10 GMT
- Title: COVID-19 Vaccines: Characterizing Misinformation Campaigns and Vaccine
Hesitancy on Twitter
- Authors: Karishma Sharma, Yizhou Zhang, Yan Liu
- Abstract summary: We investigate misinformation and conspiracy campaigns and their characteristic behaviours for COVID-19 vaccines.
We identify whether coordinated efforts are used to promote misinformation in vaccine related discussions.
We study the large anti-vaccine misinformation community and smaller anti-vaccine communities, including a far-right anti-vaccine conspiracy group.
- Score: 8.181808709549227
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Vaccine hesitancy and misinformation on social media has increased concerns
about COVID-19 vaccine uptake required to achieve herd immunity and overcome
the pandemic. However anti-science and political misinformation and
conspiracies have been rampant throughout the pandemic. For COVID-19 vaccines,
we investigate misinformation and conspiracy campaigns and their characteristic
behaviours. We identify whether coordinated efforts are used to promote
misinformation in vaccine related discussions, and find accounts coordinately
promoting a `Great Reset' conspiracy group promoting vaccine related
misinformation and strong anti-vaccine and anti-social messages such as boycott
vaccine passports, no lock-downs and masks. We characterize other
misinformation communities from the information diffusion structure, and study
the large anti-vaccine misinformation community and smaller anti-vaccine
communities, including a far-right anti-vaccine conspiracy group. In comparison
with the mainstream and health news, left-leaning group, which are more
pro-vaccine, the right-leaning group is influenced more by the anti-vaccine and
far-right misinformation/conspiracy communities. The misinformation communities
are more vocal either specific to the vaccine discussion or political
discussion, and we find other differences in the characteristic behaviours of
different communities. Lastly, we investigate misinformation narratives and
tactics of information distortion that can increase vaccine hesitancy, using
topic modeling and comparison with reported vaccine side-effects (VAERS)
finding rarer side-effects are more frequently discussed on social media.
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