Effects of Implicit Positive Ratings for Quality Assessment of Wikipedia Articles

• Suzuki Yu

  Information Technology Center, Nagoya University

抄録

In this paper, we propose a method to identify high-quality Wikipedia articles by using implicit positive ratings. One of the major approaches for assessing Wikipedia articles is a text survival ratio based approach. In this approach, when a text survives beyond multiple edits, the text is assessed as high quality. However, the problem is that many low quality articles are misjudged as high quality, because every editor does not always read the whole article. If there is a low quality text at the bottom of a long article, and the text has not seen by the other editors, then the text survives beyond many edits, and the text is assessed as high quality. To solve this problem, we use a section and a paragraph as a unit instead of a whole page. In our method, if an editor edits an article, the system considers that the editor gives positive ratings to the section or the paragraph that the editor edits. From experimental evaluation, we confirmed that the proposed method could improve the accuracy of quality values for articles.

収録刊行物

• Journal of Information Processing

  Journal of Information Processing 21 (2), 342-348, 2013

  一般社団法人 情報処理学会

キーワード

• wikipedia
• reputation
• quality
• edit history

詳細情報

• CRID: 1390001205296012800
• NII論文ID: 130003369540
• NII書誌ID: AA00700121
• DOI: 10.2197/ipsjjip.21.342
• ISSN: 18826652
• Web Site: http://id.nii.ac.jp/1001/00095661/
• Web Site: https://www.jstage.jst.go.jp/article/ipsjjip/21/2/21_342/_pdf
• 本文言語コード: en
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• 抄録ライセンスフラグ: 使用不可