针对在线虚假信息的个人层面干预的工具箱
Anastasia Kozyreva1, Philipp Lorenz-Spreen2, Stefan M Herzog2
1Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany. kozyreva@mpib-berlin.mpg.de.
Nature human behaviour
|May 13, 2024
概括
本研究介绍了一套由九项干预措施组成的工具箱,用于打击在线虚假信息,为个人和政策制定者提供实用策略,以减少虚假的社会影响.
科学领域:
- 社会科学 社会科学 社会科学
- 心理学 心理学 心理学
- 沟通研究 沟通研究
背景情况:
- 通过媒体和社交网络传播的错误信息对公共卫生和民主机构构成重大风险.
- 个人层面的干预对于赋予公众和政策制定者权力,以减轻在线虚假信息的影响至关重要.
研究的目的:
- 引入一套全面的个人级别干预措施工具箱,旨在减少在线虚假信息带来的伤害.
- 为九种不同的干预类型提供概念概述和经验证据.
主要方法:
- 全球81篇科学论文的系统审查和综合.
- 根据目标,范围和支持的经验证据对干预措施进行分类.
- 在干预测试中使用的方法和实验范式的分析.
主要成果:
- 确定并分类了九种主要类型的干预:准确性提示,揭穿,摩擦,接种,横向阅读,媒体素养,社会规范,来源可信度标签和警告标签.
- 总结了每个干预类型的经验证据基础,详细介绍了方法和发现.
- 为理解和应用这些干预提供了一个概念框架.
结论:
- 开发的工具箱提供了一种结构化的方法来理解和实施有效的策略来打击在线虚假信息.
- 基于证据的干预措施可以为个人提供识别和抵制错误信息的工具,从而减少其对社会的影响.
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