Effects of peer feedback on contribution: a field experiment in Wikipedia

  • Authors:
  • Haiyi Zhu;Amy Zhang;Jiping He;Robert E. Kraut;Aniket Kittur

  • Affiliations:
  • Carnegie Mellon University, Pittsburgh, Pennsylvania, USA;Carnegie Mellon University, Pittsburgh, Pennsylvania, USA;Carnegie Mellon University, Pittsburgh, PA, USA;Carnegie Mellon University, Pittsburgh, Pennsylvania, USA;Carnegie Mellon University, Pittsburgh, Pennsylvania, USA

  • Venue:
  • Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
  • Year:
  • 2013

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Abstract

One of the most significant challenges for many online communities is increasing members' contributions over time. Prior studies on peer feedback in online communities have suggested its impact on contribution, but have been limited by their correlational nature. In this paper, we conducted a field experiment on Wikipedia to test the effects of different feedback types (positive feedback, negative feedback, directive feedback, and social feedback) on members' contribution. Our results characterize the effects of different feedback types, and suggest trade-offs in the effects of feedback between the focal task and general motivation, as well as differences in how newcomers and experienced editors respond to peer feedback. This research provides insights into the mechanisms underlying peer feedback in online communities and practical guidance to design more effective peer feedback systems.