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

Haiyi Zhu, Amy Zhang, Jiping He, Robert E. Kraut, Aniket Kittur

Research output: Chapter in Book/Report/Conference proceedingConference contribution

43 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationCHI 2013
Subtitle of host publicationChanging Perspectives, Conference Proceedings - The 31st Annual CHI Conference on Human Factors in Computing Systems
Pages2253-2262
Number of pages10
DOIs
StatePublished - 2013
Event31st Annual CHI Conference on Human Factors in Computing Systems: Changing Perspectives, CHI 2013 - Paris, France
Duration: Apr 27 2013May 2 2013

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Other

Other31st Annual CHI Conference on Human Factors in Computing Systems: Changing Perspectives, CHI 2013
CountryFrance
CityParis
Period4/27/135/2/13

Keywords

  • Field experiment
  • Online communities
  • Peer feedback
  • Wikipedia

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