2020Proceedings of the ACM on Human-Computer InteractionOpen access

Reconsidering Self-Moderation

Joseph Seering

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Abstract

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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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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Available abstract

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.

Key concepts: Moderation, Great Moderation, Social media, Online community, Computer science, Psychology, Social psychology, Public relations

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