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Shaping Pro and Anti-Social Behavior on Twitch Through Moderation and Example-Setting

Authors:

Joseph Seering,

Laura DabbishAuthors Info & Claims

CSCW '17: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing

Pages 111 - 125

https://doi.org/10.1145/2998181.2998277

Published: 25 February 2017 Publication History

Abstract

Online communities have the potential to be supportive, cruel, or anywhere in between. The development of positive norms for interaction can help users build bonds, grow, and learn. Using millions of messages sent in Twitch chatrooms, we explore the effectiveness of methods for encouraging and discouraging specific behaviors, including taking advantage of imitation effects through setting positive examples and using moderation tools to discourage antisocial behaviors. Consistent with aspects of imitation theory and deterrence theory, users imitated examples of behavior that they saw, and more so for behaviors from high status users. Proactive moderation tools, such as chat modes which restricted the ability to post certain content, proved effective at discouraging spam behaviors, while reactive bans were able to discourage a wider variety of behaviors. This work considers the intersection of tools, authority, and types of behaviors, offering a new frame through which to consider the development of moderation strategies.

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Cited By

Choksi MBalso EKreuter FNissenbaum H(2024)Privacy for Groups Online: Context MattersProceedings of the ACM on Human-Computer Interaction10.1145/36869458:CSCW2(1-23)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686945
Seering JKhadka MHaghighi NYang TXi ZBernstein M(2024)Chillbot: Content Moderation in the BackchannelProceedings of the ACM on Human-Computer Interaction10.1145/36869418:CSCW2(1-26)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686941
Lambert CChoi FChandrasekharan E(2024)"Positive reinforcement helps breed positive behavior": Moderator Perspectives on Encouraging Desirable BehaviorProceedings of the ACM on Human-Computer Interaction10.1145/36869298:CSCW2(1-33)Online publication date: 8-Nov-2024
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Index Terms

Shaping Pro and Anti-Social Behavior on Twitch Through Moderation and Example-Setting
1. Human-centered computing
  1. Collaborative and social computing

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cover image ACM Conferences

CSCW '17: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing

February 2017

2556 pages

ISBN:9781450343350

DOI:10.1145/2998181

General Chairs:
Charlotte P. Lee
University of Washington
,
Steve Poltrock
Retired
,
Program Chairs:
Louise Barkhuus
Stockholm University and Cornell Tech
,
Marcos Borges
Universidade Federal do Rio de Janeiro
,
Wendy Kellogg
IBM T.J. Watson Research Center

Copyright © 2017 ACM.

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Published: 25 February 2017

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CSCW '17: Computer Supported Cooperative Work and Social Computing

February 25 - March 1, 2017

Oregon, Portland, USA

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CSCW '17 Paper Acceptance Rate 183 of 530 submissions, 35%;

Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

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Cited By

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https://dl.acm.org/doi/10.1145/3686945
Seering JKhadka MHaghighi NYang TXi ZBernstein M(2024)Chillbot: Content Moderation in the BackchannelProceedings of the ACM on Human-Computer Interaction10.1145/36869418:CSCW2(1-26)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686941
Lambert CChoi FChandrasekharan E(2024)"Positive reinforcement helps breed positive behavior": Moderator Perspectives on Encouraging Desirable BehaviorProceedings of the ACM on Human-Computer Interaction10.1145/36869298:CSCW2(1-33)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686929
Shahid FFarzan RLópez CCardoso Llach DQuercia DMustafa MNiu SWong-Villacrés M(2024)Human-AI Collaboration to Facilitate Culturally-Aware Content ModerationCompanion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing10.1145/3678884.3682057(9-12)Online publication date: 11-Nov-2024
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Huang ESarma AHwang SChandrasekharan EChancellor S(2024)Opportunities, tensions, and challenges in computational approaches to addressing online harassmentProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661623(1483-1498)Online publication date: 1-Jul-2024
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