造谣
适度
社会化媒体
介绍(产科)
内容(测量理论)
计算机科学
投票
用户生成的内容
内容分析
互联网隐私
情感(语言学)
万维网
心理学
政治学
社会学
社会科学
数学分析
放射科
法学
机器学习
政治
医学
沟通
数学
作者
Garrett Morrow,Briony Swire‐Thompson,Jessica Montgomery Polny,Matthew Kopec,John Wihbey
摘要
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.
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