Abstract

Widespread uptake of vaccines is necessary to achieve herd immunity. However, uptake rates have varied across U.S. states during the first six months of the COVID-19 vaccination program. Misbeliefs may play an important role in vaccine hesitancy, and there is a need to understand relationships between misinformation, beliefs, behaviors, and health outcomes. Here we investigate the extent to which COVID-19 vaccination rates and vaccine hesitancy are associated with levels of online misinformation about vaccines. We also look for evidence of directionality from online misinformation to vaccine hesitancy. We find a negative relationship between misinformation and vaccination uptake rates. Online misinformation is also correlated with vaccine hesitancy rates taken from survey data. Associations between vaccine outcomes and misinformation remain significant when accounting for political as well as demographic and socioeconomic factors. While vaccine hesitancy is strongly associated with Republican vote share, we observe that the effect of online misinformation on hesitancy is strongest across Democratic rather than Republican counties. Granger causality analysis shows evidence for a directional relationship from online misinformation to vaccine hesitancy. Our results support a need for interventions that address misbeliefs, allowing individuals to make better-informed health decisions.

Details

Title
Online misinformation is linked to early COVID-19 vaccination hesitancy and refusal
Author
Pierri, Francesco 1 ; Perry, Brea L 2 ; DeVerna, Matthew R 3 ; Kai-Cheng, Yang 3 ; Flammini Alessandro 3 ; Menczer Filippo 3 ; Bryden, John 3 

 Politecnico Di Milano, Dipartimento Di Elettronica, Informazione E Bioingegneria, Milano, Italy (GRID:grid.4643.5) (ISNI:0000 0004 1937 0327); Indiana University, Observatory On Social Media, Bloomington, USA (GRID:grid.411377.7) (ISNI:0000 0001 0790 959X) 
 Indiana University, Department of Sociology, Bloomington, USA (GRID:grid.411377.7) (ISNI:0000 0001 0790 959X) 
 Indiana University, Observatory On Social Media, Bloomington, USA (GRID:grid.411377.7) (ISNI:0000 0001 0790 959X) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2655335692
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.