The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Collaborative Authoring on the Web: A Genre Analysis of Online Encyclopedias
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 4 - Volume 04
A content-driven reputation system for the wikipedia
Proceedings of the 16th international conference on World Wide Web
A framework for information quality assessment
Journal of the American Society for Information Science and Technology
Measuring article quality in wikipedia: models and evaluation
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Information quality work organization in wikipedia
Journal of the American Society for Information Science and Technology
Computing trust from revision history
Proceedings of the 2006 International Conference on Privacy, Security and Trust: Bridge the Gap Between PST Technologies and Business Services
Quality of content in web 2.0 applications
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part III
Automatic Assessment of Document Quality in Web Collaborative Digital Libraries
Journal of Data and Information Quality (JDIQ)
Text content reliability estimation in web documents: a new proposal
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part II
Journal of the American Society for Information Science and Technology
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We propose and evaluate QuWi (Quality in Wikipedia), a framework for quality control in Wikipedia. We build upon a previous proposal by Mizzaro [11], who proposed a method for substituting and/or complementing peer review in scholarly publishing. Since articles in Wikipedia are never finished, and their authors change continuously, we define a modified algorithm that takes into account the different domain, with particular attention to the fact that authors contribute identifiable pieces of information that can be further modified by other authors. The algorithm assigns quality scores to articles and contributors. The scores assigned to articles can be used, e.g., to let the reader understand how reliable are the articles he or she is looking at, or to help contributors in identifying low quality articles to be enhanced. The scores assigned to users measure the average quality of their contributions to Wikipedia and can be used, e.g., for conflict resolution policies based on the quality of involved users. Our proposed algorithm is experimentally evaluated by analyzing the obtained quality scores on articles for deletion and featured articles, also on six temporal Wikipedia snapshots. Preliminary results demonstrate that the proposed algorithm seems to appropriately identify high and low quality articles, and that high quality authors produce more long-lived contributions than low quality authors.