In a shifting content moderation landscape, where platforms are simultaneously scaling back their moderation efforts, relaxing policies, and restricting access to platform data, now is a critical moment to facilitate a workshop on content moderation with a human-centered perspective. This workshop aims to address current topics in content moderation, such as divestment, opacity and relaxation of rules. We welcome 10 to 20 participants in our full-day workshop that aims to foster networking within an interdisciplinary group of HCI researchers working broadly on content moderation and to respond to the current developments in content moderation as a community. The workshop is highly interactive and structured around short provocations, interdisciplinary exchange, and collaborative breakout sessions.
The central topics of this workshop are (1) Evolution of language & context within harmful speech, (2) Datasets & benchmarks for AI and (3) Human expertise & labor, and we invite submissions regarding these topics. Submissions can either be (1) position papers of up to two pages (excluding references) or (2) short reflection essays (up to 1,000 words) relating to one of the three central topics.
Call for Papers
OpenSubmissions must include keywords for your field of research and a clear connection to one of the three central topics. Accepted papers will be published as open-access workshop proceedings on arXiv.
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