Facebook and Twitter recently announced community-based review platforms to address misinformation. We provide an overview of the potential affordances of such community-based approaches to content moderation based on past research and preliminary analysis of Twitter's Birdwatch data. While our analysis generally supports a community-based approach to content moderation, it also warns against potential pitfalls, particularly when the implementation of the new infrastructure focuses on crowd-based "validation" rather than "collaboration." We call for multidisciplinary research utilizing methods from complex systems studies, behavioural sociology, and computational social science to advance the research on crowd-based content moderation.
翻译:Facebook和Twitter最近宣布了社区审查平台,以解决错误信息。我们根据过去对Twitter的鸟类观察数据的研究和初步分析,概述了这种基于社区的节制内容方法的潜在可能性。 虽然我们的分析一般支持基于社区的节制内容方法,但也警告人们注意潜在的陷阱,特别是当新基础设施的实施侧重于基于人群的“验证”而不是“协作 ” 。 我们呼吁利用复杂的系统研究、行为社会学和计算社会科学的方法进行多学科研究,以推动关于基于人群的节制内容的研究。