Article

Follow the (slash) dot: effects of feedback on new members in an online community

Authors:

Erik JohnstonAuthors Info & Claims

GROUP '05: Proceedings of the 2005 ACM International Conference on Supporting Group Work

Pages 11 - 20

https://doi.org/10.1145/1099203.1099206

Published: 06 November 2005 Publication History

Abstract

Many virtual communities involve ongoing discussions, with large numbers of users and established, if implicit rules for participation. As new users enter communities like this, both they and existing members benefit when new users learn the standards for participation. Slashdot is a news and discussion site that has developed a system of distributed moderation to provide feedback about the value of posts on their site. This study examines three explanations for how new users learn to participate in a digital community: learning transfer from previous experiences, observation of other members, and feedback from other members. We find that new user behavior is affected by a combination of their viewing behavior, the moderation feedback they receive, and replies to their comments.

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Carral UElías C(2024)Aplicación de herramientas de IA como metodología para el análisis de la toxicidad en la conversación en redes sociales: Estudio de caso de la política española en TwitterRevista Latina de Comunicación Social10.4185/rlcs-2024-2205(1-18)Online publication date: 24-Jan-2024
https://doi.org/10.4185/rlcs-2024-2205
Zhu KKhern-am-nuai WYu Y(2024)Negative Peer Feedback and User Content Generation: Evidence From a Restaurant Review PlatformProduction and Operations Management10.1177/10591478231224941Online publication date: 8-Feb-2024
https://doi.org/10.1177/10591478231224941
Nova FPfafman RLogan Delaney CPater J(2024)Unveiling the "Toxic" World of #Meanspo: Understanding Users' Emerging Online Eating Disorder Practices in X/TwitterProceedings of the ACM on Human-Computer Interaction10.1145/36870618:CSCW2(1-27)Online publication date: 8-Nov-2024
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Index Terms

Follow the (slash) dot: effects of feedback on new members in an online community
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing systems and tools
      1. Asynchronous editors

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Published In

cover image ACM Conferences

GROUP '05: Proceedings of the 2005 ACM International Conference on Supporting Group Work

November 2005

368 pages

ISBN:1595932232

DOI:10.1145/1099203

General Chairs:
Mark Pendergast
Florida Gulf Coast University, USA
,
Kjeld Schmidt
IT University of Copenhagen, Denmark
,
Program Chairs:
Gloria Mark
University of California, Irvine, USA
,
Mark Ackerman
University of Michigan, USA

Copyright © 2005 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 06 November 2005

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GROUP05: ACM 2005 International Conference on Supporting Group Work

November 6 - 9, 2005

Florida, Sanibel Island, USA

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Overall Acceptance Rate 125 of 405 submissions, 31%

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https://doi.org/10.4185/rlcs-2024-2205
Zhu KKhern-am-nuai WYu Y(2024)Negative Peer Feedback and User Content Generation: Evidence From a Restaurant Review PlatformProduction and Operations Management10.1177/10591478231224941Online publication date: 8-Feb-2024
https://doi.org/10.1177/10591478231224941
Nova FPfafman RLogan Delaney CPater J(2024)Unveiling the "Toxic" World of #Meanspo: Understanding Users' Emerging Online Eating Disorder Practices in X/TwitterProceedings of the ACM on Human-Computer Interaction10.1145/36870618:CSCW2(1-27)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3687061
Kairam SFoote J(2024)How Founder Motivations, Goals, and Actions Influence Early Trajectories of Online CommunitiesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642269(1-11)Online publication date: 11-May-2024
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Jiang JNie PBrubaker JFiesler C(2023)A Trade-off-centered Framework of Content ModerationACM Transactions on Computer-Human Interaction10.1145/353492930:1(1-34)Online publication date: 7-Mar-2023
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Abadeh MMirzaie M(2023)A differential machine learning approach for trust prediction in signed social networksThe Journal of Supercomputing10.1007/s11227-023-05044-279:9(9443-9466)Online publication date: 16-Jan-2023
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Jobair AMohammad SMaisha ZMostafa MHaque M(2023)The Ugly Side of Stack Overflow: An In-depth Exploration of the Social Dynamics of New Users’ Engagement and Community Perception of ThemEvaluation of Novel Approaches to Software Engineering10.1007/978-3-031-36597-3_12(243-265)Online publication date: 8-Jul-2023
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