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Conference Papers Year : 2015

Measuring Article Quality in Wikipedia using the Collaboration Network

Abstract

Collaboratively edited articles such as in Wikipedia suffer from well-identified problems regarding their quality, e.g., information accuracy, reputability of third-party sources, vandalism. Due to the huge number of articles and the intensive edit rate, the manual evaluation of article content quality is inconceivable. In this paper, we tackle the problem of automatically establishing the quality of Wikipedia articles. Evidences are shown to consider the interactions between authors and articles to assess the quality score. Collaborations between authors and reviewers are also considered to reinforce the discriminative process. This work gives a generic formulation of the Mutual Reinforcement principle held between articles quality and authors authority and take explicitly advantage of the co-edits graph generated by individuals. Experiments conducted on a set of representative data from Wikipedia show the effectiveness of our approach.
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Dates and versions

hal-04079360 , version 1 (24-04-2023)

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Baptiste de La Robertie, Yoann Pitarch, Olivier Teste, Baptiste De La Robertie. Measuring Article Quality in Wikipedia using the Collaboration Network. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2015), ACM SIGKDD: Special Interest Group on Knowledge Discovery in Data; IEEE, Aug 2015, Paris, France. pp.464-471, ⟨10.1145/2808797.2808895⟩. ⟨hal-04079360⟩
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