Cable news and COVID-19 vaccine uptake.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
07 10 2022
Historique:
received: 15 11 2021
accepted: 12 09 2022
entrez: 7 10 2022
pubmed: 8 10 2022
medline: 12 10 2022
Statut: epublish

Résumé

COVID-19 vaccines have reduced infections and hospitalizations across the globe, yet resistance to vaccination remains strong. This paper investigates the role of cable television news in vaccine hesitancy and associated local vaccination rates in the United States. We find that, in the earlier stages of the vaccine roll-out (starting May 2021), higher local viewership of Fox News Channel has been associated with lower local vaccination rates. We can verify that this association is causal using exogenous geographical variation in the channel lineup. The effect is driven by younger individuals (under 65 years of age), for whom COVID-19 has a low mortality risk. Consistent with changes in beliefs about the effectiveness of the vaccine as a mechanism, we find that Fox News increased reported vaccine hesitancy in local survey responses. We can rule out that the effect is due to differences in partisanship, to local health policies, or to local COVID-19 infections or death rates. The other two major television networks, CNN and MSNBC, have no effect. That, in turn, indicates that more differentiated characteristics, like the networks' messaging or tendency for controversy, matter and that the effect of Fox News on COVID-19 vaccine uptake is not due to the general consumption of cable news. We also show that there is no historical effect of Fox News on flu vaccination rates, suggesting that the effect is COVID-19-specific and not driven by general skepticism toward vaccines.

Identifiants

pubmed: 36207425
doi: 10.1038/s41598-022-20350-0
pii: 10.1038/s41598-022-20350-0
pmc: PMC9540283
doi:

Substances chimiques

COVID-19 Vaccines 0
Vaccines 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

16804

Informations de copyright

© 2022. The Author(s).

Références

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Auteurs

Matteo Pinna (M)

Center for Law and Economics, ETH Zürich, Zurich, Switzerland. matteo.pinna@gess.ethz.ch.

Léo Picard (L)

Faculty of Business and Economics, University of Basel, Basel, Switzerland.

Christoph Goessmann (C)

Center for Law and Economics, ETH Zürich, Zurich, Switzerland.

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Classifications MeSH