COVID-19 (Mis)Information Exposure and Messaging Effects in the United Kingdom

英国的 COVID-19（错误）信息暴露和消息传递影响

• 批准号: ES/V004883/1
• 负责人: Jason Reifler
• 金额: $ 39.47万
• 依托单位: UNIVERSITY OF EXETER
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=ES%2FV004883%2F1
• 关键词: COVID; 19; Mis; Information; Exposure

Fighting the COVID-19 pandemic requires understanding what information people have about the disease, which misperceptions might be prevalent, and how officials can improve public knowledge and encourage behaviours that will protect public health. First, this study will measure beliefs and attitudes about COVID-19, providing a thorough map of accurate knowledge, but also of misperceptions, particularly those driven by conspiratorial thinking. Second, the study will catalogue the online sources from which our respondents get COVID-19-related information. This will allow us to gauge which accurate information sources reach a wide audience and which sources of online misinformation are systematically distorting people's views. Third, the study will test whether public health messages that seek to correct misinformation are actually effective in changing people's beliefs. Behavioural and survey data will be collected in a multi-wave nationally representative survey that measures both prevalence of false and accurate beliefs about COVID-19 (including beliefs in misperceptions and conspiracy theories) and support for recommendations from public health authorities. To evaluate responses to information from public health officials, the second survey wave will include a randomized experiment evaluating the effects of messaging from health and medical authorities. Finally, the study will measure the quality of the information people consume online about the pandemic by analysing the behavioural data provided by respondents using a combination of human-coded and machine learning approaches. These data will make it possible to identify which groups are most frequently exposed to inaccurate or untrustworthy information about COVID-19, which should aid in the design of effective interventions.

抗击 COVID-19 大流行需要了解人们对这种疾病有哪些信息、哪些误解可能普遍存在，以及官员如何提高公众知识并鼓励保护公众健康的行为。首先，这项研究将衡量人们对 COVID-19 的信念和态度，提供全面的准确知识图谱，但也包括误解，特别是那些由阴谋思维驱动的误解。其次，该研究将对受访者获取 COVID-19 相关信息的在线来源进行分类。这将使我们能够衡量哪些准确的信息来源能够覆盖广泛的受众，哪些在线错误信息来源系统性地扭曲了人们的观点。第三，该研究将测试旨在纠正错误信息的公共卫生信息是否真的能有效改变人们的信念。行为和调查数据将在多波全国代表性调查中收集，该调查衡量关于 COVID-19 的错误和准确信念（包括对误解和阴谋论的信念）的流行程度以及对公共卫生当局建议的支持。为了评估对公共卫生官员信息的反应，第二轮调查将包括一项随机实验，评估卫生和医疗当局信息的影响。最后，该研究将结合人工编码和机器学习方法，通过分析受访者提供的行为数据，衡量人们在网上消费的有关疫情的信息的质量。这些数据将有助于确定哪些群体最常接触到有关 COVID-19 的不准确或不可信信息，这将有助于设计有效的干预措施。

项目成果

Minimal effects from injunctive norm and contentiousness treatments on COVID-19 vaccine intentions: evidence from 3 countries.

• DOI: 10.1093/pnasnexus/pgac031
• 发表时间: 2022-05
• 期刊: PNAS NEXUS
• 作者: Carey, John M.;Keirns, Tracy;Loewen, Peter John;Merkley, Eric;Nyhan, Brendan;Phillips, Joseph B.;Rees, Judy R.;Reifler, Jason
• 通讯作者: Reifler, Jason

Partisanship Unmasked? The Role of Politics and Social Norms in COVID-19 Mask-Wearing Behavior

• DOI: 10.1017/xps.2022.20
• 发表时间: 2022-09
• 期刊: Journal of Experimental Political Science
• 影响因子: 3.6
• 作者: John M. Carey;B. Nyhan;Joseph B. Phillips;Jason Reifler

Estimating the size of "anti-vax" and vaccine hesitant populations in the US, UK, and Canada: comparative latent class modeling of vaccine attitudes.

• DOI: 10.1080/21645515.2021.2008214
• 发表时间: 2022-12-31
• 期刊: HUMAN VACCINES & IMMUNOTHERAPEUTICS
• 影响因子: 4.8
• 作者: Gravelle, Timothy B.;Phillips, Joseph B.;Reifler, Jason;Scotto, Thomas J.
• 通讯作者: Scotto, Thomas J.

Partisanship Unmasked: The role of politics and social norms in COVID-19 mask-wearing behavior

揭露党派之争：政治和社会规范在 COVID-19 戴口罩行为中的作用

• DOI: 10.17605/osf.io/wyb2e
• 发表时间: 2022
• 作者: Carey J