research-article

What makes users rate (share, tag, edit...)?: predicting patterns of participation in online communities

Authors:

Paul Fugelstad,

Jennifer Filson Moses,

Cleila Anna Mannino,

Mark SnyderAuthors Info & Claims

CSCW '12: Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work

Pages 969 - 978

https://doi.org/10.1145/2145204.2145349

Published: 11 February 2012 Publication History

Abstract

Administrators of online communities face the crucial issue of understanding and developing their user communities. Will new users become committed members? What types of roles are particular individuals most likely to take on? We report on a study that investigates these questions. We administered a survey (based on standard psychological instruments) to nearly 4000 new users of the MovieLens film recommendation community from October 2009 to March 2010 and logged their usage history on MovieLens. We found that general volunteer motivations, pro-social behavioral history, and community-specific motivations predicted both the amount of use and specific types of activities users engaged in after joining the community. These findings have implications for the design and management of online communities.

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https://doi.org/10.4018/978-1-6684-4785-7.ch007
Chhabra AIyengar SSaini JMalik V(2021)Analysis and Modeling of Activity-Selection Behavior in Collaborative Knowledge-BuildingTransactions on Computational Collective Intelligence XXXVI10.1007/978-3-662-64563-5_7(116-160)Online publication date: 5-Dec-2021
https://doi.org/10.1007/978-3-662-64563-5_7
Manzoor A(2020)Online Communities of Practice and Web 2.0Information Diffusion Management and Knowledge Sharing10.4018/978-1-7998-0417-8.ch005(66-93)Online publication date: 2020
https://doi.org/10.4018/978-1-7998-0417-8.ch005
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Index Terms

What makes users rate (share, tag, edit...)?: predicting patterns of participation in online communities
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing theory, concepts and paradigms
      1. Computer supported cooperative work
  2. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Web-based interaction
2. Social and professional topics
  1. Professional topics
    1. Computing and business
      1. Computer supported cooperative work

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cover image ACM Conferences

CSCW '12: Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work

February 2012

1460 pages

ISBN:9781450310864

DOI:10.1145/2145204

General Chairs:
Steven Poltrock
Boeing Research & Technology
,
Carla Simone
University of Milano-Biccoca
,
Program Chairs:
Jonathan Grudin
Microsoft Research
,
Gloria Mark
University of California, Irvine
,
John Riedl
University of Minnesota

Copyright © 2012 ACM.

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Published: 11 February 2012

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February 11 - 15, 2012

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CSCW '12 Paper Acceptance Rate 164 of 415 submissions, 40%;

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

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Cited By

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https://doi.org/10.4018/978-1-6684-4785-7.ch007
Chhabra AIyengar SSaini JMalik V(2021)Analysis and Modeling of Activity-Selection Behavior in Collaborative Knowledge-BuildingTransactions on Computational Collective Intelligence XXXVI10.1007/978-3-662-64563-5_7(116-160)Online publication date: 5-Dec-2021
https://doi.org/10.1007/978-3-662-64563-5_7
Manzoor A(2020)Online Communities of Practice and Web 2.0Information Diffusion Management and Knowledge Sharing10.4018/978-1-7998-0417-8.ch005(66-93)Online publication date: 2020
https://doi.org/10.4018/978-1-7998-0417-8.ch005
Karumur RNguyen TKonstan J(2018)Personality, User Preferences and Behavior in Recommender systemsInformation Systems Frontiers10.1007/s10796-017-9800-020:6(1241-1265)Online publication date: 1-Dec-2018
https://dl.acm.org/doi/10.1007/s10796-017-9800-0
Sheppard STurner JThebault-Spieker JZhu HTerveen L(2017)Never Too Old, Cold or Dry to Watch the SkyProceedings of the ACM on Human-Computer Interaction10.1145/31347291:CSCW(1-21)Online publication date: 6-Dec-2017
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Ye DXing ZKapre N(2017)The structure and dynamics of knowledge network in domain-specific Q&A sitesEmpirical Software Engineering10.1007/s10664-016-9430-z22:1(375-406)Online publication date: 1-Feb-2017
https://dl.acm.org/doi/10.1007/s10664-016-9430-z
Maki AVitriol JDwyer PKim JSnyder M(2017)The helping orientations inventory: Measuring propensities to provide autonomy and dependency helpEuropean Journal of Social Psychology10.1002/ejsp.226747:6(677-693)Online publication date: 6-Jul-2017
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Manzoor A(2016)Online Communities of Practice and Web 2.0Cultural, Behavioral, and Social Considerations in Electronic Collaboration10.4018/978-1-4666-9556-6.ch014(265-292)Online publication date: 2016
https://doi.org/10.4018/978-1-4666-9556-6.ch014
Oliveira NAndrade NReinecke KBjörk SEriksson EFjeld MBødker SBarendregt WObaid M(2016)Participation Differences in Q&A Sites Across CountriesProceedings of the 9th Nordic Conference on Human-Computer Interaction10.1145/2971485.2971520(1-10)Online publication date: 23-Oct-2016
https://dl.acm.org/doi/10.1145/2971485.2971520
Karumur RKonstan JVassileva JBlustein JAroyo LD'Mello S(2016)Relating Newcomer Personality to Survival and Activity in Recommender SystemsProceedings of the 2016 Conference on User Modeling Adaptation and Personalization10.1145/2930238.2930246(195-205)Online publication date: 13-Jul-2016
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