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Information Quality In A Community-Based Encyclopedia

In: Knowledge Management Nurturing Culture, Innovation, and Technology

Author

Listed:
  • BESIKI STVILIA

    (Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign, 501 E. Daniel Street, Champaign, IL 61820, USA)

  • MICHAEL B. TWIDALE

    (Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign, 501 E. Daniel Street, Champaign, IL 61820, USA)

  • LES GASSER

    (Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign, 501 E. Daniel Street, Champaign, IL 61820, USA)

  • LINDA C. SMITH

    (Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign, 501 E. Daniel Street, Champaign, IL 61820, USA)

Abstract

We examine the Information Quality aspects of Wikipedia. By a study of the discussion pages and other process-oriented pages within the Wikipedia project, it is possible to determine the information quality dimensions that participants in the editing process care about, how they talk about them, what tradeoffs they make between these dimensions and how the quality assessment and improvement process operates. This analysis helps in understanding how high quality is maintained in a project where anyone may participate with no prior vetting. It also carries implications for improving the quality of more conventional datasets.

Suggested Citation

  • Besiki Stvilia & Michael B. Twidale & Les Gasser & Linda C. Smith, 2005. "Information Quality In A Community-Based Encyclopedia," World Scientific Book Chapters, in: Suliman Hawamdeh (ed.), Knowledge Management Nurturing Culture, Innovation, and Technology, chapter 9, pages 101-113, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789812701527_0009
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    Citations

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    Cited by:

    1. Jie Lou & Yulin Fang & Kai H. Lim & Jerry Zeyu Peng, 2013. "Contributing high quantity and quality knowledge to online Q&A communities," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(2), pages 356-371, February.
    2. Jackson, Thomas W. & Farzaneh, Pourya, 2012. "Theory-based model of factors affecting information overload," International Journal of Information Management, Elsevier, vol. 32(6), pages 523-532.
    3. Young-Sik Kwak & Yoon-Jung Nam & Jae-Won Hong, 2021. "Effect of Online Collective Intelligence in Wine Industry: Focus on Correlation between Wine Quality Ratings and On-Premise Prices," Sustainability, MDPI, vol. 13(14), pages 1-20, July.

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