Online misinformation is linked to COVID-19 vaccination hesitancy and refusal (Preprint)

Author:

Pierri FrancescoORCID,Perry Brea,DeVerna Matthew,Yang Kai-Cheng,Flammini Alessandro,Menczer Filippo,Bryden John

Abstract

BACKGROUND

Widespread uptake of vaccines is necessary to achieve herd immunity. However, uptake rates varied across U.S. states during the first six months of the COVID-19 vaccination program. Online misinformation may play an important role in vaccine hesitancy, and there is a need to comprehensively quantify the impact of misinformation on beliefs, behaviors, and health outcomes.

OBJECTIVE

This work investigates the extent to which COVID-19 vaccination rates and vaccine hesitancy are associated with levels of online misinformation about vaccines across geographical regions. We also look for evidence of directionality from online misinformation to vaccine hesitancy.

METHODS

Vaccine uptake recordings were taken from Centers for Disease Control and Prevention (CDC) data over the week of March 19 to 25, 2021. Vaccine hesitancy data and misinformation data were taken over the period, Jan 4th to March 25th, 2021. We leverage over 22 M individual responses to surveys administered on Facebook to assess vaccine hesitancy rates, and we identify online misinformation by focusing on low-credibility sources shared on Twitter by over 1.67M users geolocated within U.S. regions. Statistical analysis was done using multivariate regression models adjusting for socioeconomic, demographic and political confounding factors.

RESULTS

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.

CONCLUSIONS

These results indicated that there are geographically located hotspots of vaccine refusal which are associated with online misinformation and unexplained by other factors. Our results support a need for interventions that address online misinformation, allowing individuals to make better-informed health decisions. COVID-19 | Facebook | misinformation | Twitter | vaccine hesitancy | vaccines

Publisher

JMIR Publications Inc.

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3