He says, she says: conflict and coordination in Wikipedia
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Measuring article quality in wikipedia: models and evaluation
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
On ranking controversies in wikipedia: models and evaluation
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Visual analysis of controversy in user-generated encyclopedias
Information Visualization - Special issue on visual analytics science and technology
Can you ever trust a wiki?: impacting perceived trustworthiness in wikipedia
Proceedings of the 2008 ACM conference on Computer supported cooperative 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
Network analysis of collaboration structure in Wikipedia
Proceedings of the 18th international conference on World wide web
Us vs. Them: Understanding Social Dynamics in Wikipedia with Revert Graph Visualizations
VAST '07 Proceedings of the 2007 IEEE Symposium on Visual Analytics Science and Technology
Recognizing stances in online debates
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Predicting positive and negative links in online social networks
Proceedings of the 19th international conference on World wide web
Assigning trust to Wikipedia content
WikiSym '08 Proceedings of the 4th International Symposium on Wikis
What's with the attitude?: identifying sentences with attitude in online discussions
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Towards identifying arguments in Wikipedia pages
Proceedings of the 20th international conference companion on World wide web
Annotating social acts: authority claims and alignment moves in Wikipedia talk pages
LSM '11 Proceedings of the Workshop on Languages in Social Media
Identifying controversial issues and their sub-topics in news articles
PAISI'10 Proceedings of the 2010 Pacific Asia conference on Intelligence and Security Informatics
Leveraging editor collaboration patterns in wikipedia
Proceedings of the 23rd ACM conference on Hypertext and social media
Detecting controversy on the web
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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Wikipedia articles are the result of the collaborative editing of a diverse group of anonymous volunteer editors, who are passionate and knowledgeable about specific topics. One can argue that this plurality of perspectives leads to broader coverage of the topic, thus benefitting the reader. On the other hand, differences among editors on polarizing topics can lead to controversial or questionable content, where facts and arguments are presented and discussed to support a particular point of view. Controversial articles are manually tagged by Wikipedia editors, and span many interesting and popular topics, such as religion, history, and politics, to name a few. Recent works have been proposed on automatically identifying controversy within unmarked articles. However, to date, no systematic comparison of these efforts has been made. This is in part because the various methods are evaluated using different criteria and on different sets of articles by different authors, making it hard for anyone to verify the efficacy and compare all alternatives. We provide a first attempt at bridging this gap. We compare five different methods for modelling and identifying controversy, and discuss some of the unique difficulties and opportunities inherent to the way Wikipedia is produced.