Machine Learning
The relationship between Precision-Recall and ROC curves
ICML '06 Proceedings of the 23rd international conference on Machine learning
A content-driven reputation system for the wikipedia
Proceedings of the 16th international conference on World Wide Web
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
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
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
Proceedings of the 20th international conference companion on World wide web
Language of vandalism: improving Wikipedia vandalism detection via stylometric analysis
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Link spamming Wikipedia for profit
Proceedings of the 8th Annual Collaboration, Electronic messaging, Anti-Abuse and Spam Conference
Proceedings of the 7th International Symposium on Wikis and Open Collaboration
Autonomous link spam detection in purely collaborative environments
Proceedings of the 7th International Symposium on Wikis and Open Collaboration
Trust in collaborative web applications
Future Generation Computer Systems
Detecting wikipedia vandalism with a contributing efficiency-based approach
WISE'12 Proceedings of the 13th international conference on Web Information Systems Engineering
There is no deadline: time evolution of Wikipedia discussions
Proceedings of the Eighth Annual International Symposium on Wikis and Open Collaboration
The illiterate editor: metadata-driven revert detection in Wikipedia
Proceedings of the 9th International Symposium on Open Collaboration
A preliminary study on the effects of barnstars on Wikipedia editing
Proceedings of the 9th International Symposium on Open Collaboration
Proceedings of the 9th International Symposium on Open Collaboration
WHAD: Wikipedia historical attributes data
Language Resources and Evaluation
| Hi-index | 0.00 |
Wikipedia is an online encyclopedia which anyone can edit. While most edits are constructive, about 7% are acts of vandalism. Such behavior is characterized by modifications made in bad faith; introducing spam and other inappropriate content. In this work, we present the results of an effort to integrate three of the leading approaches to Wikipedia vandalism detection: a spatio-temporal analysis of metadata (STiki), a reputation-based system (WikiTrust), and natural language processing features. The performance of the resulting joint system improves the state-of-the-art from all previous methods and establishes a new baseline for Wikipedia vandalism detection. We examine in detail the contribution of the three approaches, both for the task of discovering fresh vandalism, and for the task of locating vandalism in the complete set of Wikipedia revisions.