Assessing the quality of information on wikipedia: A deep‐learning approach-Reference-Cited by-同舟云学术

Assessing the quality of information on wikipedia: A deep‐learning approach

Published:2019-04-08 Issue:1 Volume:71 Page:16-28
ISSN:2330-1635
Container-title:Journal of the Association for Information Science and Technology
language:en
Short-container-title:Journal of the Association for Information Science and Technology

Author:

Wang Ping¹²,Li Xiaodan³

Affiliation:

1. Center for the Studies of Information ResourcesWuhan University299 Bayi Road Wuhan Hubei 430072 China

2. School of Information ManagementWuhan University299 Bayi Road Wuhan Hubei 430072 China

3. Department of Electrical and Computer EngineeringEdmund T. Pratt Jr. School of Engineering, Duke UniversityBox 90291 Durham NC 27708

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Library and Information Sciences,Information Systems and Management,Computer Networks and Communications,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/asi.24210

Reference65 articles.

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3. Anderka M.(2013).Analyzing and predicting quality flaws in user‐generated content: The case of Wikipedia (PhD thesis). Bauhaus‐Universitaet Weimar Germany.

4. Anderka M.&Stein B.(2012).A breakdown of quality flaws in Wikipedia. In Proceedings of the 2nd Joint WICOW/AIR Web Workshop on Web Quality (pp. 11–18). Lyon France.

5. Anderka M. Stein B. &Lipka N.(2012).Predicting quality flaws in user‐generated content: The case of Wikipedia. In Proceedings of the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 981‐990). Portland Oregon.

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