Reconsidering Self-Moderation
Reconsidering Self-Moderation
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DOI:
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发表时间:
2020
期刊:
影响因子:
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通讯作者:
Joseph Seering
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文献类型:
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作者:
Joseph Seering
Research in online content moderation has a long history of exploring different forms that moderation can take, including both user-driven moderation models on community-based platforms like Wikipedia, Facebook Groups, and Reddit, and centralized corporate moderation models on platforms like Twitter and Instagram. In this work I review different approaches to moderation research with the goal of providing a roadmap for researchers studying community self-moderation. I contrast community-based moderation research with platforms and policies-focused moderation research, and argue that the former has an important role to play in shaping discussions about the future of online moderation. I provide six guiding questions for future research that, if answered, can support the development of a form of user-driven moderation that is widely implementable across a variety of social spaces online, offering an alternative to the corporate moderation models that dominate public debate and discussion.
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影响因子:
4.9
作者:
Burnap, Pete;Williams, Matthew L.
通讯作者:
Williams, Matthew L.
DOI:
10.1145/3290605.3300390
发表时间:
2019
期刊:
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
影响因子:
--
作者:
Wohn, Donghee Yvette
通讯作者:
Wohn, Donghee Yvette
影响因子:
5
作者:
Schoenebeck, Sarita;Haimson, Oliver L;Nakamura, Lisa
通讯作者:
Nakamura, Lisa
DOI:
--
发表时间:
2018
期刊:
Proceedings of the 12th International Conference on Web and Social Media
影响因子:
--
作者:
Liu, P.;Guberman, J.;Hemphill, L.;Culotta, A.
通讯作者:
Culotta, A.