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

Authors:
Paul Fugelstad;Patrick Dwyer;Jennifer Filson Moses;John Kim;Cleila Anna Mannino;Loren Terveen;Mark Snyder
Affiliations:
University of Minnesota, Minneapolis, Minnesota, USA;University of Minnesota, Minneapolis, Minnesota, USA;University of Minnesota, Minneapolis, Minnesota, USA;University of Minnesota, Minneapolis, Minnesota, USA;University of Minnesota, Minneapolis, Minnesota, USA;University of Minnesota, Minneapolis, Minnesota, USA;University of Minnesota, Minneapolis, Minnesota, USA
Venue:
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
Year:
2012

Citing 12
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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.