How shades of truth and age affect responses to COVID-19 (Mis)information: randomized survey experiment among WhatsApp users in UK and Brazil

Author:

Vijaykumar SantoshORCID,Jin Yan,Rogerson Daniel,Lu Xuerong,Sharma Swati,Maughan Anna,Fadel BiancaORCID,de Oliveira Costa Mariella Silva,Pagliari Claudia,Morris Daniel

Abstract

AbstractWe examined how age and exposure to different types of COVID-19 (mis)information affect misinformation beliefs, perceived credibility of the message and intention-to-share it on WhatsApp. Through two mixed-design online experiments in the UK and Brazil (total N = 1454) we first randomly exposed adult WhatsApp users to full misinformation, partial misinformation, or full truth about the therapeutic powers of garlic to cure COVID-19. We then exposed all participants to corrective information from the World Health Organisation debunking this claim. We found stronger misinformation beliefs among younger adults (18–54) in both the UK and Brazil and possible backfire effects of corrective information among older adults (55+) in the UK. Corrective information from the WHO was effective in enhancing perceived credibility and intention-to-share of accurate information across all groups in both countries. Our findings call for evidence-based infodemic interventions by health agencies, with greater engagement of younger adults in pandemic misinformation management efforts.

Publisher

Springer Science and Business Media LLC

Subject

General Economics, Econometrics and Finance,General Psychology,General Social Sciences,General Arts and Humanities,General Business, Management and Accounting

Reference71 articles.

1. ABC (2020) UNICEF warns of scam coronavirus messages circulating through social media. https://abcnews.go.com/Health/unicef-warns-scam-coronavirus-messages-circulating-social-media/story?id=69486041. Accessed 12 Jan 2021

2. Adams RM, Karlin B, Eisenman DP et al. (2017) Who participates in the Great ShakeOut? Why audience segmentation is the future of disaster preparedness campaigns. Int J Environ Res Public Health 14(11):1407–1419. https://doi.org/10.3390/ijerph14111407

3. Ale V (2020) A library-based model for explaining information exchange on Coronavirus disease in Nigeria. Ianna J Interdiscipl Stud 2(1):1–11

4. Appelman A, Sundar SS (2016) Measuring message credibility: scale construction and validation with news stories. Journal Mass Commun Quart 93(1):59–79

5. AS-COA (2020) The Coronavirus in Latin America. https://www.as-coa.org/articles/coronavirus-latin-america. Accessed 12 Jan 2021

Cited by 52 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