Toolbox of individual-level interventions against online misinformation

IF 21.4 1区 心理学 Q1 MULTIDISCIPLINARY SCIENCES Nature Human Behaviour Pub Date : 2024-05-13 DOI:10.1038/s41562-024-01881-0
Anastasia Kozyreva, Philipp Lorenz-Spreen, Stefan M. Herzog, Ullrich K. H. Ecker, Stephan Lewandowsky, Ralph Hertwig, Ayesha Ali, Joe Bak-Coleman, Sarit Barzilai, Melisa Basol, Adam J. Berinsky, Cornelia Betsch, John Cook, Lisa K. Fazio, Michael Geers, Andrew M. Guess, Haifeng Huang, Horacio Larreguy, Rakoen Maertens, Folco Panizza, Gordon Pennycook, David G. Rand, Steve Rathje, Jason Reifler, Philipp Schmid, Mark Smith, Briony Swire-Thompson, Paula Szewach, Sander van der Linden, Sam Wineburg
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Abstract

The spread of misinformation through media and social networks threatens many aspects of society, including public health and the state of democracies. One approach to mitigating the effect of misinformation focuses on individual-level interventions, equipping policymakers and the public with essential tools to curb the spread and influence of falsehoods. Here we introduce a toolbox of individual-level interventions for reducing harm from online misinformation. Comprising an up-to-date account of interventions featured in 81 scientific papers from across the globe, the toolbox provides both a conceptual overview of nine main types of interventions, including their target, scope and examples, and a summary of the empirical evidence supporting the interventions, including the methods and experimental paradigms used to test them. The nine types of interventions covered are accuracy prompts, debunking and rebuttals, friction, inoculation, lateral reading and verification strategies, media-literacy tips, social norms, source-credibility labels, and warning and fact-checking labels. Kozyreva et al. review evidence from individual-level interventions for fighting online misinformation featured in 81 scientific papers. They classify the interventions in nine different types and summarize their findings in a toolbox.

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针对网络误导的个人层面干预工具箱
通过媒体和社交网络传播的错误信息威胁着社会的许多方面,包括公共卫生和民主国家的状况。减轻错误信息影响的一种方法侧重于个人层面的干预,为政策制定者和公众提供必要的工具来遏制虚假信息的传播和影响。在此,我们将介绍一个个人层面的干预工具箱,以减少网络虚假信息的危害。该工具箱包含全球 81 篇科学论文中的最新干预措施,既提供了九种主要干预措施的概念概述,包括其目标、范围和实例,也提供了支持这些干预措施的经验证据摘要,包括用于测试这些措施的方法和实验范例。九类干预措施包括:准确性提示、驳斥和反驳、摩擦、接种、横向阅读和验证策略、媒体素养提示、社会规范、来源可信度标签以及警告和事实核查标签。
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来源期刊
Nature Human Behaviour
Nature Human Behaviour Psychology-Social Psychology
CiteScore
36.80
自引率
1.00%
发文量
227
期刊介绍: Nature Human Behaviour is a journal that focuses on publishing research of outstanding significance into any aspect of human behavior.The research can cover various areas such as psychological, biological, and social bases of human behavior.It also includes the study of origins, development, and disorders related to human behavior.The primary aim of the journal is to increase the visibility of research in the field and enhance its societal reach and impact.
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