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Ranking of Wikipedia articles in search engines revisited: Fair ranking for reasonable quality?

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  • Dirk Lewandowski
  • Ulrike Spree

Abstract

This paper aims to review the fiercely discussed question of whether the ranking of Wikipedia articles in search engines is justified by the quality of the articles. After an overview of current research on information quality in Wikipedia, a summary of the extended discussion on the quality of encyclopedic entries in general is given. On this basis, a heuristic method for evaluating Wikipedia entries is developed and applied to Wikipedia articles that scored highly in a search engine retrieval effectiveness test and compared with the relevance judgment of jurors. In all search engines tested, Wikipedia results are unanimously judged better by the jurors than other results on the corresponding results position. Relevance judgments often roughly correspond with the results from the heuristic evaluation. Cases in which high relevance judgments are not in accordance with the comparatively low score from the heuristic evaluation are interpreted as an indicator of a high degree of trust in Wikipedia. One of the systemic shortcomings of Wikipedia lies in its necessarily incoherent user model. A further tuning of the suggested criteria catalog, for instance, the different weighing of the supplied criteria, could serve as a starting point for a user model differentiated evaluation of Wikipedia articles. Approved methods of quality evaluation of reference works are applied to Wikipedia articles and integrated with the question of search engine evaluation.

Suggested Citation

  • Dirk Lewandowski & Ulrike Spree, 2011. "Ranking of Wikipedia articles in search engines revisited: Fair ranking for reasonable quality?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(1), pages 117-132, January.
  • Handle: RePEc:bla:jamist:v:62:y:2011:i:1:p:117-132
    DOI: 10.1002/asi.21423
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    Cited by:

    1. Nicolas Jullien, 2012. "What We Know About Wikipedia: A Review of the Literature Analyzing the Project(s)," Post-Print hal-00857208, HAL.
    2. Dirk Lewandowski, 2015. "Evaluating the retrieval effectiveness of web search engines using a representative query sample," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(9), pages 1763-1775, September.
    3. 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.
    4. Kevin Crowston & Nicolas Jullien & Felipe Ortega, 2013. "Is Wikipedia Inefficient? Modelling Effort and Participation in Wikipedia," Post-Print hal-00947731, HAL.

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