ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Cooperation and quality in wikipedia
Proceedings of the 2007 international symposium on Wikis
Size matters: word count as a measure of quality on wikipedia
Proceedings of the 17th international conference on World Wide Web
One-Class Classification by Combining Density and Class Probability Estimation
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Identifying featured articles in wikipedia: writing style matters
Proceedings of the 19th international conference on World wide web
Automatic vandalism detection in Wikipedia
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Detection of text quality flaws as a one-class classification problem
Proceedings of the 20th ACM international conference on Information and knowledge management
Measuring the quality of web content using factual information
Proceedings of the 2nd Joint WICOW/AIRWeb Workshop on Web Quality
A breakdown of quality flaws in Wikipedia
Proceedings of the 2nd Joint WICOW/AIRWeb Workshop on Web Quality
Predicting quality flaws in user-generated content: the case of wikipedia
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
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Featured articles in Wikipedia stand for high information quality, and it has been found interesting to researchers to analyze whether and how they can be distinguished from "ordinary" articles. Here we point out that article discrimination falls far short of writer support or automatic quality assurance: Featured articles are not identified, but are made. Following this motto we compile a comprehensive list of information quality flaws in Wikipedia, model them according to the latest state of the art, and devise one-class classification technology for their identification.