论文标题
自动化内容适度提高了遵守社区指南
Automated Content Moderation Increases Adherence to Community Guidelines
论文作者
论文摘要
在线社交媒体平台使用自动审核系统来删除或降低破坏规则内容的可见性。虽然先前的工作已经记录了手动内容审核的重要性，但自动化内容中等的影响仍然很大程度上未知。在这里，在对Facebook评论（n = 412m）的大型研究中，我们使用了模糊的回归不连续性设计来衡量自动内容审核对随后的规则破坏行为（隐藏/删除的注释数量）和参与度（已发布的其他注释数量）的影响。我们发现，评论删除降低了较短的线程（20或更少的评论）中随后的破坏行为，甚至在其他参与者中，这表明干预措施阻止了对话出轨。此外，删除对受影响用户后续规则破坏行为的影响比其对减少评论的影响一般而言，这表明用户被阻止了规则破坏，但不会发表评论。相反，隐藏（而不是删除）内容具有较小且统计上微不足道的影响。我们的结果表明，自动化内容审核会增加遵守社区准则。
Online social media platforms use automated moderation systems to remove or reduce the visibility of rule-breaking content. While previous work has documented the importance of manual content moderation, the effects of automated content moderation remain largely unknown. Here, in a large study of Facebook comments (n=412M), we used a fuzzy regression discontinuity design to measure the impact of automated content moderation on subsequent rule-breaking behavior (number of comments hidden/deleted) and engagement (number of additional comments posted). We found that comment deletion decreased subsequent rule-breaking behavior in shorter threads (20 or fewer comments), even among other participants, suggesting that the intervention prevented conversations from derailing. Further, the effect of deletion on the affected user's subsequent rule-breaking behavior was longer-lived than its effect on reducing commenting in general, suggesting that users were deterred from rule-breaking but not from commenting. In contrast, hiding (rather than deleting) content had small and statistically insignificant effects. Our results suggest that automated content moderation increases adherence to community guidelines.
