The efficacy of Facebook’s vaccine misinformation policies and architecture during the COVID-19 pandemic

Author:

Broniatowski David A.12ORCID,Simons Joseph R.3ORCID,Gu Jiayan4,Jamison Amelia M.5ORCID,Abroms Lorien C.24ORCID

Affiliation:

1. Department of Engineering Management and Systems Engineering, The George Washington University, Washington, DC 20052, USA.

2. Institute for Data, Democracy, and Politics, The George Washington University, Washington, DC 20052, USA.

3. Office of the Assistant Secretary for Financial Resources, United States Department of Health and Human Services, Washington, DC 20543, USA.

4. Department of Prevention and Community Health, The George Washington University, Washington, DC 20052, USA.

5. Department of Health, Behavior, and Society, Johns Hopkins University, Baltimore, MD 21218, USA.

Abstract

Online misinformation promotes distrust in science, undermines public health, and may drive civil unrest. During the coronavirus disease 2019 pandemic, Facebook—the world’s largest social media company—began to remove vaccine misinformation as a matter of policy. We evaluated the efficacy of these policies using a comparative interrupted time-series design. We found that Facebook removed some antivaccine content, but we did not observe decreases in overall engagement with antivaccine content. Provaccine content was also removed, and antivaccine content became more misinformative, more politically polarized, and more likely to be seen in users’ newsfeeds. We explain these findings as a consequence of Facebook’s system architecture, which provides substantial flexibility to motivated users who wish to disseminate misinformation through multiple channels. Facebook’s architecture may therefore afford antivaccine content producers several means to circumvent the intent of misinformation removal policies.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference105 articles.

1. Misinformation in and about science

2. Addressing Health-Related Misinformation on Social Media

3. Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA

4. B. Silverman R. Mac J. Lytvynenko “How Facebook failed to prevent stop the steal ” BuzzFeed News 22 April 2021; www.buzzfeednews.com/article/craigsilverman/facebook-failed-stop-the-steal-insurrection.

5. A. Gowen “As mob lynchings fueled by WhatsApp messages sweep India authorities struggle to combat fake news ” Washington Post 2 July 2018; www.washingtonpost.com/world/asia_pacific/as-mob-lynchings-fueled-by-whatsapp-sweep-india-authorities-struggle-to-combat-fake-news/2018/07/02/683a1578-7bba-11e8-ac4e-421ef7165923_story.html.

Cited by 15 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