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Crossmod: A Cross-Community Learning-based System to Assist Reddit Moderators

Authors:

Eshwar Chandrasekharan,

Chaitrali Gandhi,

Matthew Wortley Mustelier,

Eric GilbertAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 3, Issue CSCW

Article No.: 174, Pages 1 - 30

https://doi.org/10.1145/3359276

Published: 07 November 2019 Publication History

Abstract

In this paper, we introduce a novel sociotechnical moderation system for Reddit called Crossmod. Through formative interviews with 11 active moderators from 10 different subreddits, we learned about the limitations of currently available automated tools, and how a new system could extend their capabilities. Developed out of these interviews, Crossmod makes its decisions based on cross-community learning---an approach that leverages a large corpus of previous moderator decisions via an ensemble of classifiers. Finally, we deployed Crossmod in a controlled environment, simulating real-time conversations from two large subreddits with over 10M subscribers each. To evaluate Crossmod's moderation recommendations, 4 moderators reviewed comments scored by Crossmod that had been drawn randomly from existing threads. Crossmod achieved an overall accuracy of 86% when detecting comments that would be removed by moderators, with high recall (over 87.5%). Additionally, moderators reported that they would have removed 95.3% of the comments flagged by Crossmod; however, 98.3% of these comments were still online at the time of this writing (i.e., not removed by the current moderation system). To the best of our knowledge, Crossmod is the first open source, AI-backed sociotechnical moderation system to be designed using participatory methods.

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Cited By

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
Smith CKlassen SPrinster GTan CKeegan B(2024)Governance of the Black Experience on Reddit: r/BlackPeopleTwitter as a Case Study in Supporting Sense of Virtual Community for Black UsersProceedings of the ACM on Human-Computer Interaction10.1145/36869208:CSCW2(1-32)Online publication date: 8-Nov-2024
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Index Terms

Crossmod: A Cross-Community Learning-based System to Assist Reddit Moderators
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing systems and tools

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cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 3, Issue CSCW

November 2019

5026 pages

EISSN:2573-0142

DOI:10.1145/3371885

Editors:
Airi Lampinen
Stockholm University, Sweden
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Darren Gergle
Northwestern University, USA
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David A. Shamma
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Published: 07 November 2019

Published in PACMHCI Volume 3, Issue CSCW

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Cited By

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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
Smith CKlassen SPrinster GTan CKeegan B(2024)Governance of the Black Experience on Reddit: r/BlackPeopleTwitter as a Case Study in Supporting Sense of Virtual Community for Black UsersProceedings of the ACM on Human-Computer Interaction10.1145/36869208:CSCW2(1-32)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686920
Hwang SKiene COng SShaw A(2024)Adopting Third-party Bots for Managing Online CommunitiesProceedings of the ACM on Human-Computer Interaction10.1145/36537078:CSCW1(1-26)Online publication date: 26-Apr-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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Lee DSeo SPark CKim SChang BSong J(2024)Exploring Intervention Techniques to Alleviate Negative Emotions during Video Content Moderation Tasks as a Worker-centered Task DesignProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3660708(1701-1721)Online publication date: 1-Jul-2024
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Zhang PZhou QLu TGu HGu N(2024)DeLink: An Adversarial Framework for Defending against Cross-site User Identity LinkageACM Transactions on the Web10.1145/364382818:2(1-34)Online publication date: 5-Feb-2024
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Overney CSaldías BDimitrakopoulou DRoy D(2024)SenseMate: An Accessible and Beginner-Friendly Human-AI Platform for Qualitative Data AnalysisProceedings of the 29th International Conference on Intelligent User Interfaces10.1145/3640543.3645194(922-939)Online publication date: 18-Mar-2024
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Gunturi UKumar ADing XRho E(2024)Linguistically Differentiating Acts and Recalls of Racial Microaggressions on Social MediaProceedings of the ACM on Human-Computer Interaction10.1145/36373668:CSCW1(1-36)Online publication date: 26-Apr-2024
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Atreja SIm JResnick PHemphill L(2024)AppealMod: Inducing Friction to Reduce Moderator Workload of Handling User AppealsProceedings of the ACM on Human-Computer Interaction10.1145/36372968:CSCW1(1-35)Online publication date: 26-Apr-2024
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