Share If You Believe, Comment If You Doubt: The Effect of Source of Information, Trust, and Belief in Conspiracy Theories on Engagement with Facebook Posts

Author:

Atad Erga12,David Yossi3ORCID

Affiliation:

1. Lauder School of Government, Diplomacy and Strategy, Reichman University, Herzliya 4610101, Israel

2. School of Communication, Bar-Ilan University, Ramat Gan 5290002, Israel

3. Department of Communication Studies, Ben-Gurion University of the Negev, Beersheba 8410501, Israel

Abstract

This study examines the effect of one of three sources of information: a politician (authority figure), a physician (expert), and an ordinary person (non-expert) who appeared in a personal story related to a controversial issue (COVID-19 vaccination) on Facebook, on the willingness to engage with it. Using a between-subjects experiment (N = 848) conducted among Israeli adults (18 and older), we found a higher likelihood of sharing the story in interpersonal conversations than in other types of communications, regardless of the source that appeared in the story. However, respondents with high levels of institutional trust preferred sharing a politician’s story, while conspiracy believers tended to comment on an ordinary person’s story. The findings of the different patterns of communication behavior among conspiracy believers and people with high trust in political institutes contribute to our understanding of the mechanisms underlying the spread of misinformation in the digital age and during times of crisis.

Publisher

MDPI AG

Reference61 articles.

1. (2024, May 08). Bezeq Report Bezeq Internet Report—2019–2020. Available online: https://media.bezeq.co.il/pdf/internetreport_2020.pdf.

2. Andrews, G.J., Crooks, V.A., Pearce, J.R., and Messina, J.P. (2021). Media and information in times of crisis: The case of the COVID-19 infodemic. COVID-19 and Similar Futures (Global Perspectives on Health Geography), Springer International Publishing.

3. Like, Comment, or Share? Exploring the Effects of Local Television News Facebook Posts on News Engagement;Guo;J. Broadcast. Electron. Media,2020

4. Mitchell, A., Gottfried, J., Barthel, M., and Shearer, E. (2024, May 08). Modern News Consumer. Pew Research Center, Available online: https://www.pewresearch.org/journalism/2016/07/07/the-modern-news-consumer/.

5. Cinelli, M., Quattrociocchi, W., Galeazzi, A., Valensise, C.M., Brugnoli, E., Schmidt, A.L., Zola, P., Zollo, F., and Scala, A. (2020). The COVID-19 social media infodemic. Sci. Rep., 10.

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