Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
Measuring article quality in wikipedia: models and evaluation
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Computing information retrieval performance measures efficiently in the presence of tied scores
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Improving the trustworthiness of service QoS information in service-based systems
ATC'10 Proceedings of the 7th international conference on Autonomic and trusted computing
Proceedings of the 19th Brazilian symposium on Multimedia and the web
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Wikipedia has become a very popular destination for Web surfers seeking knowledge about a wide variety of subjects. While it contains many helpful articles with accurate information, it also consists of unreliable articles with inaccurate or incomplete information. A casual observer might not be able to differentiate between the good and the bad. In this work, we identify the necessity and challenges for trust assessment in Wikipedia, and propose a framework that can help address these challenges by identifying relevant features and providing empirical means to meet the requirements for such an evaluation. We select relevant variables and perform experiments to evaluate our approach. The results demonstrate promising performance that is better than comparable approaches and could possibly be replicated with other social media applications.