The emerging science of content labeling: Contextualizing social media content moderation
这篇综述梳理了内容标签（如事实核查、敏感内容警告）的研究文献，探讨其如何影响用户对信息的理解，以及如何用于应对虚假信息等问题，对社交媒体平台和公共政策讨论有参考价值。
Abstract In the online information ecosystem, a content label is an attachment to a piece of content intended to contextualize that content for the viewer. Content labels are information about information, such as fact‐checks or sensitive content warnings. Research into content labeling is nascent, but growing; researchers have made strides toward understanding labeling best practices to deal with issues such as disinformation, and misleading content that may affect everything from voting to health. To make this review tractable, we focus on compiling the literature that can contextualize labeling effects and consequences. This review summarizes the central labeling literature, highlights gaps for future research, discusses considerations for social media, and explores definitions toward a taxonomy. Specifically, this article discusses the particulars of content labels, their presentation, and the effects of various labels. The current literature can guide the usage of labels on social media platforms and inform public debate over platform moderation.