Sloan School of Management, Massachusetts Institute of Technology, 02142 Cambridge, MA, USA.
Sloan School of Management, Massachusetts Institute of Technology, 02142 Cambridge, MA, USA; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 02139 Cambridge, MA, USA.
Curr Opin Psychol. 2023 Dec;54:101710. doi: 10.1016/j.copsyc.2023.101710. Epub 2023 Oct 19.
There is growing concern over the spread of misinformation online. One widely adopted intervention by platforms for addressing falsehoods is applying "warning labels" to posts deemed inaccurate by fact-checkers. Despite a rich literature on correcting misinformation after exposure, much less work has examined the effectiveness of warning labels presented concurrent with exposure. Promisingly, existing research suggests that warning labels effectively reduce belief and spread of misinformation. The size of these beneficial effects depends on how the labels are implemented and the characteristics of the content being labeled. Despite some individual differences, recent evidence indicates that warning labels are generally effective across party lines and other demographic characteristics. We discuss potential implications and limitations of labeling policies for addressing online misinformation.
人们越来越关注网络上错误信息的传播。平台为解决虚假信息而广泛采用的一种干预措施是对被事实核查人员认为不准确的帖子贴上“警告标签”。尽管在曝光后纠正错误信息的文献丰富,但研究人员很少关注与曝光同时呈现的警告标签的有效性。有希望的是,现有研究表明,警告标签可以有效地减少错误信息的可信度和传播。这些有益效果的大小取决于标签的实施方式以及被标记内容的特征。尽管存在一些个体差异,但最近的证据表明,警告标签在党派和其他人口特征方面通常是有效的。我们讨论了针对网络错误信息采取标签政策的潜在影响和局限性。