Abstract
The paper concerns studying the quality of teams of Wikipedia authors with statistical approach. We report preparation of a dataset containing numerous behavioural and structural attributes and its subsequent analysis and use to predict team quality. We have performed exploratory analysis using partial regression to remove the influence of attributes not related to the team itself. The analysis confirmed that the key issue significantly influencing article’s quality are discussions between teem members. The second part of the paper successfully uses machine learning models to predict good articles based on features of the teams that created them.
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Bukowski, L., Jankowski-Lorek, M., Jaroszewicz, S., Sydow, M. (2014). What Makes a Good Team of Wikipedia Editors? A Preliminary Statistical Analysis. In: Nadamoto, A., Jatowt, A., Wierzbicki, A., Leidner, J.L. (eds) Social Informatics. SocInfo 2013. Lecture Notes in Computer Science, vol 8359. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55285-4_2
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DOI: https://doi.org/10.1007/978-3-642-55285-4_2
Publisher Name: Springer, Berlin, Heidelberg
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