Machine Learning
Studying cooperation and conflict between authors with history flow visualizations
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A content-driven reputation system for the wikipedia
Proceedings of the 16th international conference on World Wide Web
Creating, destroying, and restoring value in wikipedia
Proceedings of the 2007 international ACM conference on Supporting group work
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
Using dynamic markov compression to detect vandalism in the wikipedia
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Detecting Wikipedia vandalism via spatio-temporal analysis of revision metadata?
Proceedings of the Third European Workshop on System Security
Detecting Wikipedia vandalism with active learning and statistical language models
Proceedings of the 4th workshop on Information credibility
Automatic vandalism detection in Wikipedia
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Crowdsourcing a wikipedia vandalism corpus
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Wikipedia vandalism detection: combining natural language, metadata, and reputation features
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part II
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Wikipedia is an online encyclopedia that anyone can access and edit. It has become one of the most important sources of knowledge online and many third party projects rely on it for a wide-range of purposes. The open model of Wikipedia allows pranksters, lobbyists and spammers to attack the integrity of the encyclopedia and this endangers it as a public resource. This is known in the community as vandalism. A plethora of methods have been developed within the Wikipedia and the scientific community to tackle this problem. We have participated in this effort and developed one of the leading approaches. Our research aims to create a fully-working antivandalism system and get it working in the real world.