Identifying Frames of the COVID-19 Infodemic: Thematic Analysis of Misinformation Stories Across Media.

IF 3.5 Q1 HEALTH CARE SCIENCES & SERVICES JMIR infodemiology Pub Date : 2022-04-13 eCollection Date: 2022-01-01 DOI:10.2196/33827
Ehsan Mohammadi, Iman Tahamtan, Yazdan Mansourian, Holly Overton
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Abstract

Background: The word "infodemic" refers to the deluge of false information about an event, and it is a global challenge for today's society. The sheer volume of misinformation circulating during the COVID-19 pandemic has been harmful to people around the world. Therefore, it is important to study different aspects of misinformation related to the pandemic.

Objective: This paper aimed to identify the main subthemes related to COVID-19 misinformation on various platforms, from traditional outlets to social media. This paper aimed to place these subthemes into categories, track the changes, and explore patterns in prevalence, over time, across different platforms and contexts.

Methods: From a theoretical perspective, this research was rooted in framing theory; it also employed thematic analysis to identify the main themes and subthemes related to COVID-19 misinformation. The data were collected from 8 fact-checking websites that formed a sample of 127 pieces of false COVID-19 news published from January 1, 2020 to March 30, 2020.

Results: The findings revealed 4 main themes (attribution, impact, protection and solutions, and politics) and 19 unique subthemes within those themes related to COVID-19 misinformation. Governmental and political organizations (institutional level) and administrators and politicians (individual level) were the 2 most frequent subthemes, followed by origination and source, home remedies, fake statistics, treatments, drugs, and pseudoscience, among others. Results indicate that the prevalence of misinformation subthemes had altered over time between January 2020 and March 2020. For instance, false stories about the origin and source of the virus were frequent initially (January). Misinformation regarding home remedies became a prominent subtheme in the middle (February), while false information related to government organizations and politicians became popular later (March). Although conspiracy theory web pages and social media outlets were the primary sources of misinformation, surprisingly, results revealed trusted platforms such as official government outlets and news organizations were also avenues for creating COVID-19 misinformation.

Conclusions: The identified themes in this study reflect some of the information attitudes and behaviors, such as denial, uncertainty, consequences, and solution-seeking, that provided rich information grounds to create different types of misinformation during the COVID-19 pandemic. Some themes also indicate that the application of effective communication strategies and the creation of timely content were used to persuade human minds with false stories in different phases of the crisis. The findings of this study can be beneficial for communication officers, information professionals, and policy makers to combat misinformation in future global health crises or related events.

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识别 COVID-19 信息流行的框架:跨媒体误传故事的专题分析。
背景:信息瘟疫 "一词是指有关某一事件的大量虚假信息,它是当今社会面临的一项全球性挑战。在 COVID-19 大流行期间流传的大量错误信息对全世界人民造成了伤害。因此,研究与该大流行病相关的错误信息的各个方面非常重要:本文旨在确定从传统渠道到社交媒体等各种平台上与 COVID-19 误传相关的主要次主题。本文旨在将这些次主题归类,跟踪其变化,并探索随着时间推移,在不同平台和背景下的流行模式:从理论角度看,本研究植根于框架理论;它还采用了主题分析法来确定与 COVID-19 误报相关的主要主题和次主题。数据收集自 8 个事实核查网站,这些网站是 2020 年 1 月 1 日至 2020 年 3 月 30 日期间发布的 127 篇 COVID-19 虚假新闻的样本:研究结果揭示了与COVID-19虚假信息相关的4大主题(归因、影响、保护和解决方案以及政治)和这些主题中的19个独特的次主题。政府和政治组织(机构层面)以及行政人员和政治家(个人层面)是最常见的两个副主题,其次是起源和来源、家庭疗法、虚假统计数据、治疗方法、药物和伪科学等。结果表明,在 2020 年 1 月至 2020 年 3 月期间,错误信息次主题的流行率随时间推移而发生了变化。例如,最初(1 月),关于病毒起源和来源的虚假故事很常见。与家庭疗法有关的虚假信息在中期(2 月)成为一个突出的副主题,而与政府组织和政客有关的虚假信息则在后期(3 月)变得流行起来。虽然阴谋论网页和社交媒体是错误信息的主要来源,但令人惊讶的是,研究结果显示,政府官方机构和新闻组织等可信平台也是制造 COVID-19 错误信息的渠道:本研究确定的主题反映了一些信息态度和行为,如否认、不确定性、后果和寻求解决方案等,这些态度和行为为在 COVID-19 大流行期间制造不同类型的错误信息提供了丰富的信息基础。一些主题还表明,在危机的不同阶段,有效传播策略的应用和及时内容的创造被用来用虚假故事说服人的思想。本研究的结果将有助于传播官员、信息专业人员和政策制定者在未来的全球健康危机或相关事件中打击错误信息。
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