Mining team characteristics to predict Wikipedia article quality

Grace Gimon Betancourt, Armando Segnini, Carlos Trabuco, Amira Rezgui () and Nicolas Jullien
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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

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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.

Keywords: Wikipedia; Epistemic Community; Article quality; Teaming (search for similar items in EconPapers)
Date: 2016-08-17
New Economics Papers: this item is included in nep-sog
Note: View the original document on HAL open archive server: https://hal.science/hal-01354368v1
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Published in OpenSym 2016 : 12th International Symposium on Open Collaboration, Aug 2016, Berlin, Germany. pp.1 - 9

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01354368

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