Mining team characteristics to predict Wikipedia article quality

被引：5
作者：
Betancourt, Grace Gimon [1 ]
Segnini, Armando [1 ]
Trabuco, Carlos [1 ]
Rezgui, Amira [1 ]
Jullien, Nicolas [1 ]
机构：
[1] Telecom Bretagne, Brest, France
来源：
PROCEEDINGS OF THE 12TH INTERNATIONAL SYMPOSIUM ON OPEN COLLABORATION (OPENSYM) | 2016年
关键词：
Wikipedia; Epistemic community; Article Quality; Teaming; INFORMATION QUALITY;
D O I：
10.1145/2957792.2971802
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
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页数：9
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