Automatically Assessing Wikipedia Article Quality by Exploiting Article–Editor Networks

We consider the problem of automatically assessing Wikipedia article quality. We develop several models to rank articles by using the editing relations between articles and editors. First, we create a basic model by modeling the article-editor network. Then we design measures of an editor’s contribu...

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Published inAdvances in Information Retrieval pp. 574 - 580
Main Authors Li, Xinyi, Tang, Jintao, Wang, Ting, Luo, Zhunchen, de Rijke, Maarten
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing
SeriesLecture Notes in Computer Science
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Abstract We consider the problem of automatically assessing Wikipedia article quality. We develop several models to rank articles by using the editing relations between articles and editors. First, we create a basic model by modeling the article-editor network. Then we design measures of an editor’s contribution and build weighted models that improve the ranking performance. Finally, we use a combination of featured article information and the weighted models to obtain the best performance. We find that using manual evaluation to assist automatic evaluation is a viable solution for the article quality assessment task on Wikipedia.
AbstractList We consider the problem of automatically assessing Wikipedia article quality. We develop several models to rank articles by using the editing relations between articles and editors. First, we create a basic model by modeling the article-editor network. Then we design measures of an editor’s contribution and build weighted models that improve the ranking performance. Finally, we use a combination of featured article information and the weighted models to obtain the best performance. We find that using manual evaluation to assist automatic evaluation is a viable solution for the article quality assessment task on Wikipedia.
Author de Rijke, Maarten
Wang, Ting
Tang, Jintao
Luo, Zhunchen
Li, Xinyi
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Rauber, Andreas
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Snippet We consider the problem of automatically assessing Wikipedia article quality. We develop several models to rank articles by using the editing relations between...
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StartPage 574
SubjectTerms Editing Action
Feature Article
Ranking Performance
Simple Weighted
Weighted Model
Title Automatically Assessing Wikipedia Article Quality by Exploiting Article–Editor Networks
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