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The role and influence of perceived experts in an anti-vaccine misinformation community.
Harris, Mallory J; Murtfeldt, Ryan; Wang, Shufan; Mordecai, Erin A; West, Jevin D.
Afiliação
  • Harris MJ; Department of Biology, Stanford University, Stanford, CA.
  • Murtfeldt R; Center for an Informed Public, University of Washington, Seattle, WA.
  • Wang S; Information School, University of Washington, Seattle, WA.
  • Mordecai EA; Information School, University of Washington, Seattle, WA.
  • West JD; Department of Biology, Stanford University, Stanford, CA.
medRxiv ; 2023 Aug 29.
Article em En | MEDLINE | ID: mdl-37546922
ABSTRACT
The role of perceived experts (i.e., medical professionals and biomedical scientists) as potential anti-vaccine influencers has not been characterized systematically. We describe the prevalence and importance of anti-vaccine perceived experts by constructing a coengagement network based on a Twitter data set containing over 4.2 million posts from April 2021. The coengagement network primarily broke into two large communities that differed in their stance toward COVID-19 vaccines, and misinformation was predominantly shared by the anti-vaccine community. Perceived experts had a sizable presence within the anti-vaccine community and shared academic sources at higher rates compared to others in that community. Perceived experts occupied important network positions as central anti-vaccine nodes and bridges between the anti- and pro-vaccine communities. Perceived experts received significantly more engagements than other individuals within the anti- and pro-vaccine communities and there was no significant difference in the influence boost for perceived experts between the two communities. Interventions designed to reduce the impact of perceived experts who spread anti-vaccine misinformation may be warranted.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article