Measuring the Burden of Infodemics: Summary of the Methods and Results of the Fifth WHO Infodemic Management Conference.

IF 3.5 Q1 HEALTH CARE SCIENCES & SERVICES JMIR infodemiology Pub Date : 2023-01-01 DOI:10.2196/44207
Elisabeth Wilhelm, Isabella Ballalai, Marie-Eve Belanger, Peter Benjamin, Catherine Bertrand-Ferrandis, Supriya Bezbaruah, Sylvie Briand, Ian Brooks, Richard Bruns, Lucie M Bucci, Neville Calleja, Howard Chiou, Abhinav Devaria, Lorena Dini, Hyjel D'Souza, Adam G Dunn, Johannes C Eichstaedt, Silvia M A A Evers, Nina Gobat, Mika Gissler, Ian Christian Gonzales, Anatoliy Gruzd, Sarah Hess, Atsuyoshi Ishizumi, Oommen John, Ashish Joshi, Benjamin Kaluza, Nagwa Khamis, Monika Kosinska, Shibani Kulkarni, Dimitra Lingri, Ramona Ludolph, Tim Mackey, Stefan Mandić-Rajčević, Filippo Menczer, Vijaybabu Mudaliar, Shruti Murthy, Syed Nazakat, Tim Nguyen, Jennifer Nilsen, Elena Pallari, Natalia Pasternak Taschner, Elena Petelos, Mitchell J Prinstein, Jon Roozenbeek, Anton Schneider, Varadharajan Srinivasan, Aleksandar Stevanović, Brigitte Strahwald, Shabbir Syed Abdul, Sandra Varaidzo Machiri, Sander van der Linden, Christopher Voegeli, Claire Wardle, Odette Wegwarth, Becky K White, Estelle Willie, Brian Yau, Tina D Purnat
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The COVID-19 pandemic has been accompanied by an unprecedented global infodemic that has led to confusion about the benefits of medical and public health interventions, with substantial impact on risk-taking and health-seeking behaviors, eroding trust in health authorities and compromising the effectiveness of public health responses and policies. Standardized measures are needed to quantify the harmful impacts of the infodemic in a systematic and methodologically robust manner, as well as harmonizing highly divergent approaches currently explored for this purpose. This can serve as a foundation for a systematic, evidence-based approach to monitoring, identifying, and mitigating future infodemic harms in emergency preparedness and prevention.</p><p><strong>Objective: </strong>In this paper, we summarize the Fifth World Health Organization (WHO) Infodemic Management Conference structure, proceedings, outcomes, and proposed actions seeking to identify the interdisciplinary approaches and frameworks needed to enable the measurement of the burden of infodemics.</p><p><strong>Methods: </strong>An iterative human-centered design (HCD) approach and concept mapping were used to facilitate focused discussions and allow for the generation of actionable outcomes and recommendations. The discussions included 86 participants representing diverse scientific disciplines and health authorities from 28 countries across all WHO regions, along with observers from civil society and global public health-implementing partners. A thematic map capturing the concepts matching the key contributing factors to the public health burden of infodemics was used throughout the conference to frame and contextualize discussions. Five key areas for immediate action were identified.</p><p><strong>Results: </strong>The 5 key areas for the development of metrics to assess the burden of infodemics and associated interventions included (1) developing standardized definitions and ensuring the adoption thereof; (2) improving the map of concepts influencing the burden of infodemics; (3) conducting a review of evidence, tools, and data sources; (4) setting up a technical working group; and (5) addressing immediate priorities for postpandemic recovery and resilience building. 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引用次数: 6

Abstract

Background: An infodemic is excess information, including false or misleading information, that spreads in digital and physical environments during a public health emergency. The COVID-19 pandemic has been accompanied by an unprecedented global infodemic that has led to confusion about the benefits of medical and public health interventions, with substantial impact on risk-taking and health-seeking behaviors, eroding trust in health authorities and compromising the effectiveness of public health responses and policies. Standardized measures are needed to quantify the harmful impacts of the infodemic in a systematic and methodologically robust manner, as well as harmonizing highly divergent approaches currently explored for this purpose. This can serve as a foundation for a systematic, evidence-based approach to monitoring, identifying, and mitigating future infodemic harms in emergency preparedness and prevention.

Objective: In this paper, we summarize the Fifth World Health Organization (WHO) Infodemic Management Conference structure, proceedings, outcomes, and proposed actions seeking to identify the interdisciplinary approaches and frameworks needed to enable the measurement of the burden of infodemics.

Methods: An iterative human-centered design (HCD) approach and concept mapping were used to facilitate focused discussions and allow for the generation of actionable outcomes and recommendations. The discussions included 86 participants representing diverse scientific disciplines and health authorities from 28 countries across all WHO regions, along with observers from civil society and global public health-implementing partners. A thematic map capturing the concepts matching the key contributing factors to the public health burden of infodemics was used throughout the conference to frame and contextualize discussions. Five key areas for immediate action were identified.

Results: The 5 key areas for the development of metrics to assess the burden of infodemics and associated interventions included (1) developing standardized definitions and ensuring the adoption thereof; (2) improving the map of concepts influencing the burden of infodemics; (3) conducting a review of evidence, tools, and data sources; (4) setting up a technical working group; and (5) addressing immediate priorities for postpandemic recovery and resilience building. The summary report consolidated group input toward a common vocabulary with standardized terms, concepts, study designs, measures, and tools to estimate the burden of infodemics and the effectiveness of infodemic management interventions.

Conclusions: Standardizing measurement is the basis for documenting the burden of infodemics on health systems and population health during emergencies. Investment is needed into the development of practical, affordable, evidence-based, and systematic methods that are legally and ethically balanced for monitoring infodemics; generating diagnostics, infodemic insights, and recommendations; and developing interventions, action-oriented guidance, policies, support options, mechanisms, and tools for infodemic managers and emergency program managers.

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衡量信息流行病的负担:第五届世卫组织信息流行病管理会议的方法和结果摘要。
背景:信息流行病是指突发公共卫生事件期间在数字和物理环境中传播的过量信息,包括虚假或误导性信息。COVID-19大流行伴随着前所未有的全球信息大流行,导致人们对医疗和公共卫生干预措施的好处感到困惑,对冒险和寻求健康的行为产生了重大影响,侵蚀了对卫生当局的信任,损害了公共卫生应对措施和政策的有效性。需要采取标准化措施,以系统和方法上可靠的方式量化信息传播的有害影响,并协调目前为此目的探索的高度不同的方法。这可以作为在应急准备和预防中采用系统的、基于证据的方法监测、识别和减轻未来信息流行病危害的基础。目的:在本文中,我们总结了第五届世界卫生组织(世卫组织)信息流行病管理会议的结构、会议记录、成果和拟议行动,旨在确定能够衡量信息流行病负担所需的跨学科方法和框架。方法:采用迭代的以人为中心的设计(HCD)方法和概念映射来促进重点讨论,并允许产生可操作的结果和建议。参加讨论的有来自世卫组织所有区域28个国家的不同科学学科和卫生当局的86名与会者,以及民间社会和全球公共卫生实施伙伴的观察员。在整个会议期间,使用了一张专题地图,其中包含了与信息传染病造成公共卫生负担的关键促成因素相匹配的概念,以确定讨论的框架和背景。确定了需要立即采取行动的五个关键领域。结果:制定评估信息流行病负担和相关干预措施的指标的5个关键领域包括:(1)制定标准化定义并确保其采用;(2)改进影响信息流行病负担的概念地图;(3)对证据、工具和数据来源进行审查;(四)成立技术工作组;(5)解决大流行后恢复和复原力建设的当务之急。摘要报告将小组投入整合为一个通用词汇,包括标准化的术语、概念、研究设计、测量和工具,以估计信息流行病的负担和信息流行病管理干预措施的有效性。结论:标准化测量是记录突发事件期间卫生系统和人口健康的信息流行病负担的基础。需要投资开发实用的、负担得起的、以证据为基础的系统方法,这些方法在法律上和道德上都是平衡的,用于监测信息流行病;生成诊断、信息见解和建议;为信息管理人员和应急项目管理人员制定干预措施、面向行动的指导、政策、支持方案、机制和工具。
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Correction: Exploring the Impact of the COVID-19 Pandemic on Twitter in Japan: Qualitative Analysis of Disrupted Plans and Consequences. The Complex Interaction Between Sleep-Related Information, Misinformation, and Sleep Health: A Call for Comprehensive Research on Sleep Infodemiology and Infoveillance. Understanding and Combating Misinformation: An Evolutionary Perspective. Detection and Characterization of Online Substance Use Discussions Among Gamers: Qualitative Retrospective Analysis of Reddit r/StopGaming Data. Evaluating the Influence of Role-Playing Prompts on ChatGPT's Misinformation Detection Accuracy: Quantitative Study.
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