TY - GEN
T1 - The Effects of Machine-powered Content Modereation
T2 - 55th Annual Hawaii International Conference on System Sciences, HICSS 2022
AU - He, Qinglai
AU - Hong, Yili
AU - Raghu, T. S.
N1 - Publisher Copyright:
© 2022 IEEE Computer Society. All rights reserved.
PY - 2022
Y1 - 2022
N2 - With increasing participation in social media and online communities, content moderation has become an important part of the online experience. Volunteer moderators have been the essential workforce for content moderation. Recently, platforms move toward the technical and automated mode of moderation. There is a growing concern over de-humanization and whether machines would lead volunteer moderators to reduce their contributions. We conduct an empirical study to examine the impact of machine-powered regulations on volunteer moderators' behaviors. With data collected from 156 subreddits on Reddit, we found that delegating moderation to machines augments volunteer moderators' role as community managers. Human moderators engage in more moderation-related activities, including 20.2% more corrective and 14.9% supportive activities with their community members. Importantly, the effect manifests primarily among communities with large user bases and detailed guidelines, suggesting that community needs for moderation are the key factors driving more voluntary contributions in the presence of bot moderators.
AB - With increasing participation in social media and online communities, content moderation has become an important part of the online experience. Volunteer moderators have been the essential workforce for content moderation. Recently, platforms move toward the technical and automated mode of moderation. There is a growing concern over de-humanization and whether machines would lead volunteer moderators to reduce their contributions. We conduct an empirical study to examine the impact of machine-powered regulations on volunteer moderators' behaviors. With data collected from 156 subreddits on Reddit, we found that delegating moderation to machines augments volunteer moderators' role as community managers. Human moderators engage in more moderation-related activities, including 20.2% more corrective and 14.9% supportive activities with their community members. Importantly, the effect manifests primarily among communities with large user bases and detailed guidelines, suggesting that community needs for moderation are the key factors driving more voluntary contributions in the presence of bot moderators.
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M3 - Conference contribution
AN - SCOPUS:85152237653
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
SP - 5963
EP - 5972
BT - Proceedings of the 55th Annual Hawaii International Conference on System Sciences, HICSS 2022
A2 - Bui, Tung X.
PB - IEEE Computer Society
Y2 - 3 January 2022 through 7 January 2022
ER -