skip to main content
10.1145/1054972.1054975acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
Article

How oversight improves member-maintained communities

Published:02 April 2005Publication History

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.

References

  1. G. Beenen, K. Ling, X. Wang, K. Chang, D. Frankowski, P. Resnick, and R. E. Kraut. Using social psychology to motivate contributions to online communities. Proceedings of CSCW2004, Chicago, IL, November 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. B. Butler, L. Sproull, S. Kiesler, and R. Kraut. Community Building in Online Communities: Who Does the Work and Why? Leadership at a Distance. Lawrence Erlbaum Publishers, Inc., Mahwah, NJ, 2005.Google ScholarGoogle Scholar
  3. D. Cosley, S. K. Lam, I. Albert, J. A. Konstan, and J. Riedl. Is seeing believing?: how recommender system interfaces affect users' opinions. Proceedings of SIGCHI, pages 585--592, Ft. Lauderdale, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. R. M. Dawes. Social dilemmas. Annual Review of Psychology, 31:169--193, 1980.Google ScholarGoogle ScholarCross RefCross Ref
  5. R. M. Dawes and R. H. Thaler. Anomalies: Cooperation. The Journal of Economic Perspectives, 2(3):187--197, 1988.Google ScholarGoogle ScholarCross RefCross Ref
  6. T. Erickson et al. Socially translucent systems: social proxies, persistent conversation, and the design of babble. In Proc. SIGCHI, pages 72--79, 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. A. Graycar. Graffiti: Implications for law enforcement, local government and the community. In Graffiti and Disorder: Local Government, Law Enforcement and Community Responses, Brisbane, August 2003.Google ScholarGoogle Scholar
  8. G. Hardin. The tragedy of the commons. Science, 162:1243--1248, 1968.Google ScholarGoogle ScholarCross RefCross Ref
  9. R. Hardin. Collective Action. Johns Hopkins, Baltimore, 1982.Google ScholarGoogle Scholar
  10. S. G. Harkins. Social loafing and social facilitation. Journal of Experimental Social Psych., 23:1--18, 1987.Google ScholarGoogle ScholarCross RefCross Ref
  11. S. J. Karau and K. D. Williams. Social loafing: A meta-analytic review and theoretical integration. Journal of Personality and Social Psychology, 65(4):681--706, 1993.Google ScholarGoogle ScholarCross RefCross Ref
  12. N. L. Kerr. Motivation losses in small groups: a social dilemma analysis. Journal of Personality and Social Psychology, 45:819--828, 1983.Google ScholarGoogle ScholarCross RefCross Ref
  13. C. Lampe and P. Resnick. Slash(dot) and burn: distributed moderation in a large online conversation space. In Proceedings of SIGCHI, pages 543--550, Vienna, Austria, 2004. ACM Press. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. J. Lave. Situating Learning in Communities of Practice. Perspectives on Socially Shared Cognition. APA, 1993.Google ScholarGoogle Scholar
  15. P. J. Ludford, D. Cosley, D. Frankowski, and L. Terveen. Think different: increasing online community participation using uniqueness and group dissimilarity. In Proceedings of SIGCHI, pages 631--638, Vienna, Austria, 2004. ACM Press. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. J. Preece. Online Communities: Designing Usability, Supporting Sociability. John Wiley & Sons, Ltd, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. R. Putnam. Bowling Alone: The Collapse and Revival of American Community. Simon & Schuster, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. A. M. Rashid, I. Albert, D. Cosley, S. K. Lam, S. M. McNee, J. A. Konstan, and J. Riedl. Getting to know you: learning new user preferences in recommender systems. In Proc. IUI, pages 127--134, San Francisco, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. P. Resnick, N. Iacovou, M. Suchak, P. Bergstrom, and J. Riedl. Grouplens: an open architecture for collaborative filtering of netnews. In Proceedings of CSCW, pages 175--186, Chapel Hill, NC, 1994. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. P. Resnick, K. Kuwabara, R. Zeckhauser, and E. Friedman. Reputation systems. Communications of the ACM, 43(12):45--48, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. M. Smith. Tools for navigating large social cyberspaces. Communications of the ACM, 45(4):51--55, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. B. K. Thorn and T. Connolly. Discretionary data bases: A theory and some experimental findings. Communication Research, 14:512--528, 1987.Google ScholarGoogle ScholarCross RefCross Ref
  23. F. B. Viégas, M. Wattenberg, and K. Dave. Studying cooperation and conflict between authors with history flow visualizations. In Proceedings of SIGCHI, pages 575--582, Vienna, Austria, 2004. ACM Press. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. V. H. Vroom. Work and Motivation. Wiley, N.Y., 1964.Google ScholarGoogle Scholar
  25. Wikipedia. Wikipedia:about - wikipedia. http://en.wikipedia.org/wiki/Wikipedia:About, 2004.Google ScholarGoogle Scholar

Index Terms

  1. How oversight improves member-maintained communities

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      CHI '05: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
      April 2005
      928 pages
      ISBN:1581139985
      DOI:10.1145/1054972

      Copyright © 2005 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 2 April 2005

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • Article

      Acceptance Rates

      CHI '05 Paper Acceptance Rate93of372submissions,25%Overall Acceptance Rate6,199of26,314submissions,24%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader