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Information quality work organization in wikipedia

Author

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  • Besiki Stvilia
  • Michael B. Twidale
  • Linda C. Smith
  • Les Gasser

Abstract

The classic problem within the information quality (IQ) research and practice community has been the problem of defining IQ. It has been found repeatedly that IQ is context sensitive and cannot be described, measured, and assured with a single model. There is a need for empirical case studies of IQ work in different systems to develop a systematic knowledge that can then inform and guide the construction of context‐specific IQ models. This article analyzes the organization of IQ assurance work in a large‐scale, open, collaborative encyclopedia—Wikipedia. What is special about Wikipedia as a resource is that the quality discussions and processes are strongly connected to the data itself and are accessible to the general public. This openness makes it particularly easy for researchers to study a particular kind of collaborative work that is highly distributed and that has a particularly substantial focus, not just on error detection but also on error correction. We believe that the study of those evolving debates and processes and of the IQ assurance model as a whole has useful implications for the improvement of quality in other more conventional databases.

Suggested Citation

  • Besiki Stvilia & Michael B. Twidale & Linda C. Smith & Les Gasser, 2008. "Information quality work organization in wikipedia," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(6), pages 983-1001, April.
    • Handle: RePEc:bla:jamist:v:59:y:2008:i:6:p:983-1001
    DOI: 10.1002/asi.20813
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    Citations

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    Cited by:

    1. Jaehun Joo & Ismatilla Normatov, 2013. "Determinants of collective intelligence quality: comparison between Wiki and Q&A services in English and Korean users," Service Business, Springer;Pan-Pacific Business Association, vol. 7(4), pages 687-711, December.
    2. Gerald C. Kane & Sam Ransbotham, 2016. "Research Note—Content and Collaboration: An Affiliation Network Approach to Information Quality in Online Peer Production Communities," Information Systems Research, INFORMS, vol. 27(2), pages 424-439, June.
    3. Arnaud Gorgeon & E. Burton Swanson, 2011. "Web 2.0 according to Wikipedia: Capturing an organizing vision," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(10), pages 1916-1932, October.
    4. Nicolas Jullien, 2012. "What We Know About Wikipedia: A Review of the Literature Analyzing the Project(s)," Post-Print hal-00857208, HAL.
    5. Ofer Arazy & Johannes Daxenberger & Hila Lifshitz-Assaf & Oded Nov & Iryna Gurevych, 2016. "Turbulent Stability of Emergent Roles: The Dualistic Nature of Self-Organizing Knowledge Coproduction," Information Systems Research, INFORMS, vol. 27(4), pages 792-812, December.
    6. Besiki Stvilia & Dong Joon Lee & Na‐eun Han, 2021. "“Striking out on your own”—A study of research information management problems on university campuses," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(8), pages 963-978, August.
    7. Li, Yung-Ming & Lee, Yi-Lin, 2010. "Pricing peer-produced services: Quality, capacity, and competition issues," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1658-1668, December.
    8. Grace Gimon Betancourt & Armando Segnini & Carlos Trabuco & Amira Rezgui & Nicolas Jullien, 2016. "Mining team characteristics to predict Wikipedia article quality," Post-Print hal-01354368, HAL.
    9. Loris Gaio & Alessandro Rossi & Matthijs den Besten & Jean-Michel Dalle, 2009. "Coordination, Division of Labor, and Open Content Communities: Template Messages in Wiki-Based Collections," DISA Working Papers 0903, Department of Computer and Management Sciences, University of Trento, Italy, revised 29 Jul 2009.
    10. Shane Greenstein & Grace Gu & Feng Zhu, 2021. "Ideology and Composition Among an Online Crowd: Evidence from Wikipedians," Management Science, INFORMS, vol. 67(5), pages 3067-3086, May.
    11. Kevin Crowston & Nicolas Jullien & Felipe Ortega, 2013. "Is Wikipedia Inefficient? Modelling Effort and Participation in Wikipedia," Post-Print hal-00947731, HAL.
    12. Vivek K. Singh & Mary Chayko & Raj Inamdar & Diana Floegel, 2020. "Female librarians and male computer programmers? Gender bias in occupational images on digital media platforms," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(11), pages 1281-1294, November.
    13. Besiki Stvilia & Shuheng Wu & Dong Joon Lee, 2018. "Researchers’ participation in and motivations for engaging with research information management systems," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-24, February.
    14. Lee, Jung & Seo, DongBack, 2016. "Crowdsourcing not all sourced by the crowd: An observation on the behavior of Wikipedia participants," Technovation, Elsevier, vol. 55, pages 14-21.
    15. Stan Karanasios & Aljona Zorina, 2023. "From participation roles to socio‐emotional information roles: Insights from the closure of an online community," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(1), pages 33-49, January.
    16. Arsev Umur Aydinoglu, 2013. "Toward a New Understanding of Virtual Research Collaborations," SAGE Open, , vol. 3(4), pages 21582440135, October.

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