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Assessing quality score of wikipedia articles using mutual evaluation of editors and texts
Abstract In this paper, we propose a method for assIn this paper, we propose a method for assessing quality scores of Wikipedia articles by mutually evaluating editors and texts. Survival ratio based approach is a major approach to assessing article quality. In this approach, when a text survives beyond multiple edits, the text is assessed as good quality, because poor quality texts have a high probability of being deleted by editors. However, many vandals, low quality editors, delete good quality texts frequently, which improperly decreases the survival ratios of good quality texts. As a result, many good quality texts are unfairly assessed as poor quality. In our method, we consider editor quality score for calculating text quality score, and decrease the impact on text quality by vandals. Using this improvement, the accuracy of the text quality score should be improved. However, an inherent problem with this idea is that the editor quality scores are calculated by the text quality scores. To solve this problem, we mutually calculate the editor and text quality scores until they converge. In this paper, we prove that the text quality score converges. We did our experimental evaluation, and confirmed that our proposed method could accurately assess the text quality scores. Copyright is held by the owner/author(s). Copyright is held by the owner/author(s).
Abstractsub In this paper, we propose a method for assIn this paper, we propose a method for assessing quality scores of Wikipedia articles by mutually evaluating editors and texts. Survival ratio based approach is a major approach to assessing article quality. In this approach, when a text survives beyond multiple edits, the text is assessed as good quality, because poor quality texts have a high probability of being deleted by editors. However, many vandals, low quality editors, delete good quality texts frequently, which improperly decreases the survival ratios of good quality texts. As a result, many good quality texts are unfairly assessed as poor quality. In our method, we consider editor quality score for calculating text quality score, and decrease the impact on text quality by vandals. Using this improvement, the accuracy of the text quality score should be improved. However, an inherent problem with this idea is that the editor quality scores are calculated by the text quality scores. To solve this problem, we mutually calculate the editor and text quality scores until they converge. In this paper, we prove that the text quality score converges. We did our experimental evaluation, and confirmed that our proposed method could accurately assess the text quality scores. Copyright is held by the owner/author(s). Copyright is held by the owner/author(s).
Bibtextype inproceedings  +
Doi 10.1145/2505515.2505610  +
Has author Yu Suzuki + , Masatoshi Yoshikawa +
Has extra keyword Article qualities + , Experimental evaluation + , High probability + , Mutual evaluations + , Peer review + , Vandalism + , Wikipedia + , Wikipedia articles + , Image quality + , Knowledge management + , Quality control + , Social networking (online) +
Has keyword Edit history + , Peer review + , Quality + , Vandalism + , Wikipedia +
Isbn 9781450322638  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 1727–1732  +
Published in International Conference on Information and Knowledge Management, Proceedings +
Title Assessing quality score of wikipedia articles using mutual evaluation of editors and texts +
Type conference paper  +
Year 2013 +
Creation dateThis property is a special property in this wiki. 6 November 2014 14:57:36  +
Categories Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 6 November 2014 14:57:36  +
DateThis property is a special property in this wiki. 2013  +
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