A Characterization of Wikipedia Content Based on Motifs in the Edit Graph
|A Characterization of Wikipedia Content Based on Motifs in the Edit Graph|
|Author(s)||Guangyu Wu, Martin Harrigan, Pádraig Cunningham|
|Published in||SMUC '11: Proceedings of the 3rd international workshop on Search and mining user-generated contents|
|Keyword(s)||Unknown (Extra: Wikipedia)|
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A Characterization of Wikipedia Content Based on Motifs in the Edit Graph is a 2011 conference paper written in English by Guangyu Wu, Martin Harrigan, Pádraig Cunningham and published in SMUC '11: Proceedings of the 3rd international workshop on Search and mining user-generated contents.
Good Wikipedia articles are authoritative sources due to the collaboration of a number of knowledgeable contributors. This is the many eyes idea. The edit network associated with a Wikipedia article can tell us something about its quality or authoritativeness. In this paper we explore the hypothesis that the characteristics of this edit network are predictive of the quality of the corresponding article's content. We characterize the edit network using a profile of network motifs and we show that this network motif profile is predictive of the Wikipedia quality classes assigned to articles by Wikipedia editors. We further show that the network motif profile can identify outlier articles particularly in the 'Featured Article' class, the highest Wikipedia quality class.
This publication has 8 references. Only those references related to wikis are included here:
- "User Generated Content: How Good Is It?" (create it!)
- "Wikipedia as participatory journalism: reliable sources? metrics for evaluating collaborative media as a news resource"
- "The wisdom of crowds" (create it!)
Probably, this publication is cited by others, but there are no articles available for them in WikiPapers.