How oversight improves member-maintained communities

  • Authors:

  • Dan Cosley;Dan Frankowski;Sara Kiesler;Loren Terveen;John Riedl

  • Affiliations:

  • University of Minnesota, Minneapolis, MN;University of Minnesota, Minneapolis, MN;Carnegie Mellon University, Pittsburgh, PA;University of Minnesota, Minneapolis, MN;University of Minnesota, Minneapolis, MN

  • Venue:
  • Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
  • Year:
  • 2005

Quantified Score

Hi-index 0.01

Visualization

Abstract

Online communities need regular maintenance activities such as moderation and data input, tasks that typically fall to community owners. Communities that allow all members to participate in maintenance tasks have the potential to be more robust and valuable. A key challenge in creating member-maintained communities is building interfaces, algorithms, and social structures that encourage people to provide high-quality contributions. We use Karau and Williams' collective effort model to predict how peer and expert editorial oversight affect members' contributions to a movie recommendation website and test these predictions in a field experiment with 87 contributors. Oversight increased both the quantity and quality of contributions while reducing antisocial behavior, and peers were as effective at oversight as experts. We draw design guidelines and suggest avenues for future work from our results.