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Mining team characteristics to predict Wikipedia article quality

Author

Listed:
  • Grace Gimon Betancourt

    (LUSSI - Département Logique des Usages, Sciences sociales et Sciences de l'Information - UEB - Université européenne de Bretagne - European University of Brittany - Télécom Bretagne - IMT - Institut Mines-Télécom [Paris])

  • Armando Segnini

    (LUSSI - Département Logique des Usages, Sciences sociales et Sciences de l'Information - UEB - Université européenne de Bretagne - European University of Brittany - Télécom Bretagne - IMT - Institut Mines-Télécom [Paris])

  • Carlos Trabuco

    (LUSSI - Département Logique des Usages, Sciences sociales et Sciences de l'Information - UEB - Université européenne de Bretagne - European University of Brittany - Télécom Bretagne - IMT - Institut Mines-Télécom [Paris])

  • Amira Rezgui

    (LUSSI - Département Logique des Usages, Sciences sociales et Sciences de l'Information - UEB - Université européenne de Bretagne - European University of Brittany - Télécom Bretagne - IMT - Institut Mines-Télécom [Paris], MARSOUIN - Môle Armoricain de Recherche sur la SOciété de l'information et des usages d'INternet - UR - Université de Rennes - UEB - Université européenne de Bretagne - European University of Brittany - UBS - Université de Bretagne Sud - ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] - UBO - Université de Brest - Télécom Bretagne - IMT - Institut Mines-Télécom [Paris] - UR2 - Université de Rennes 2, ICI - Laboratoire Information, Coordination, Incitations - UEB - Université européenne de Bretagne - European University of Brittany - UBO - Université de Brest - Télécom Bretagne - IMT - Institut Mines-Télécom [Paris] - IBSHS - Institut Brestois des Sciences de l'Homme et de la Société - UBO - Université de Brest)

  • Nicolas Jullien

    (LUSSI - Département Logique des Usages, Sciences sociales et Sciences de l'Information - UEB - Université européenne de Bretagne - European University of Brittany - Télécom Bretagne - IMT - Institut Mines-Télécom [Paris], MARSOUIN - Môle Armoricain de Recherche sur la SOciété de l'information et des usages d'INternet - UR - Université de Rennes - UEB - Université européenne de Bretagne - European University of Brittany - UBS - Université de Bretagne Sud - ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] - UBO - Université de Brest - Télécom Bretagne - IMT - Institut Mines-Télécom [Paris] - UR2 - Université de Rennes 2, ICI - Laboratoire Information, Coordination, Incitations - UEB - Université européenne de Bretagne - European University of Brittany - UBO - Université de Brest - Télécom Bretagne - IMT - Institut Mines-Télécom [Paris] - IBSHS - Institut Brestois des Sciences de l'Homme et de la Société - UBO - Université de Brest)

Abstract

In this study, we were interested in studying which characteristics of virtual teams are good predictors for the quality of their production. The experiment involved obtaining the Spanish Wikipedia database dump and applying different data mining techniques suitable for large data sets to label the whole set of articles according to their quality (comparing them with the Featured/Good Articles, or FA/GA). Then we created the attributes that describe the characteristics of the team who produced the articles and using decision tree methods, we obtained the most relevant characteristics of the teams that produced FA/GA. The team's maximum efficiency and the total length of contribution are the most important predictors. This article contributes to the literature on virtual team organization.

Suggested Citation

  • 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.
    • Handle: RePEc:hal:journl:hal-01354368
    Note: View the original document on HAL open archive server: https://hal.science/hal-01354368v1
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    References listed on IDEAS

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    1. 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.
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    3. Dirk Lewandowski & Ulrike Spree, 2011. "Ranking of Wikipedia articles in search engines revisited: Fair ranking for reasonable quality?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(1), pages 117-132, January.
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    5. Besiki Stvilia & Les Gasser & Michael B. Twidale & Linda C. Smith, 2007. "A framework for information quality assessment," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(12), pages 1720-1733, October.
    6. Eduardo A. Haddad & Jaime Bonet & Geoffrey J. D. Hewings, 2023. "Introduction and Overview," Advances in Spatial Science, in: Eduardo A. Haddad & Jaime Bonet & Geoffrey J. D. Hewings (ed.), The Colombian Economy and Its Regional Structural Challenges, chapter 0, pages 1-16, Springer.
    7. Nicolas Jullien & Kevin Crowston & Felipe Ortega, 2015. "The Rise and Fall of an Online Project. Is Bureaucracy Killing Efficiency in Open Knowledge Production?," Post-Print hal-01192596, HAL.
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    More about this item

    Keywords

    Wikipedia; Epistemic Community; Article quality; Teaming;
    All these keywords.

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