The role and influence of perceived experts in an anti-vaccine misinformation community

Author:

Harris Mallory J.ORCID,Murtfeldt RyanORCID,Wang ShufanORCID,Mordecai Erin A.ORCID,West Jevin D.ORCID

Abstract

1AbstractThe 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.

Publisher

Cold Spring Harbor Laboratory

Reference117 articles.

1. R. Abhari , E. Villa-Turek , N. Vincent , H. Dambanemuya , and E.- Horvát . Retracted Articles about COVID-19 Vaccines Enable Vaccine Misinformation on Twitter, Mar. 2023. URL http://arxiv.org/abs/2303.16302.arXiv:2303.16302[cs].

2. A. Acerbi . A Cultural Evolution Approach to Digital Media. Frontiers in Human Neuroscience, 10, 2016. ISSN 1662-5161. URL https://www.frontiersin.org/article/10.3389/fnhum.2016.00636.

3. Doctors vs. Nurses: Understanding the Great Divide in Vaccine Hesitancy among Healthcare Workers

4. Correcting Vaccine Misinformation: Recognition and Effects of Source Type on Misinformation via Perceived Motivations and Credibility

5. V. Arel-Bundock . marginaleffects: Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests. 2023. URL https://CRAN.R-project.org/package=marginaleffects.

Cited by 2 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

1. Community detection on elite mathematicians’ collaboration network;Journal of Data and Information Science;2024-08-28

2. Vaccine disinformation from medical professionals—a case for action from regulatory bodies?;Journal of Evaluation in Clinical Practice;2024-03-21

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