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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-01354368
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    References listed on IDEAS

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    Keywords

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

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