论文标题
删除，减少，告知：人们希望社交媒体平台采用潜在误导性内容的哪些行动？
Remove, Reduce, Inform: What Actions do People Want Social Media Platforms to Take on Potentially Misleading Content?
论文作者
论文摘要
为了减少错误信息的传播，社交媒体平台可能会采取执法行动，以防止有问题的内容，例如添加信息警告标签，减少分布或完全删除内容。但是，他们的行动和无动行动都是有争议的，并且由于党派偏见的指控而困扰。当涉及特定内容项目时，对于普通百姓想要的平台做什么知之甚少。我们提供了有关外行评估者对368篇新闻文章的三种潜在平台行动的政治平衡小组的经验证据。我们的结果证实，在许多文章中，缺乏对采取哪些行动的共识。我们发现，明确的行动严重程度的层次结构，大多数评估者都希望在最少的文章和删除方面提供信息标签。关于多少文章应有的平台行动没有党派差异，但保守派确实更喜欢对自由来源的内容的更多作用，反之亦然。我们还发现，关于两个整体特性的判断，即误导性和伤害，可以有效地确定大多数评估者将批准哪些行动。
To reduce the spread of misinformation, social media platforms may take enforcement actions against offending content, such as adding informational warning labels, reducing distribution, or removing content entirely. However, both their actions and their inactions have been controversial and plagued by allegations of partisan bias. When it comes to specific content items, surprisingly little is known about what ordinary people want the platforms to do. We provide empirical evidence about a politically balanced panel of lay raters' preferences for three potential platform actions on 368 news articles. Our results confirm that on many articles there is a lack of consensus on which actions to take. We find a clear hierarchy of perceived severity of actions with a majority of raters wanting informational labels on the most articles and removal on the fewest. There was no partisan difference in terms of how many articles deserve platform actions but conservatives did prefer somewhat more action on content from liberal sources, and vice versa. We also find that judgments about two holistic properties, misleadingness and harm, could serve as an effective proxy to determine what actions would be approved by a majority of raters.
