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

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Published:11 February 2012Publication 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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          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

          Copyright © 2012 ACM

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          • Published: 11 February 2012

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