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Developing a Vandalism Detector For Wikipedia
marpot writes "In an effort to assist Wikipedia's editors in their struggle to keep articles clean, we are conducting a public lab on vandalism detection. The goal is the development of a practical vandalism detector that is capable of telling apart ill-intentioned edits from well-intentioned edits. Such a tool, which will work somewhat like a spam detector, will release the crowd's workforce currently occupied with manual and semi-automatic edit filtering. The performance of submitted detectors will be evaluated based on a large collection of human-annotated edits, which has been crowdsourced using Amazon's Mechanical Turk. Everyone is welcome to participate."
We have studied the accuracy of ClueBot, and found that (on a small corpus) it has very good precision (low falsy positive rate), but a very low recall (low true positive rate). (see: http://www.uni-weimar.de/medien/webis/publications/downloads/papers/stein_2008c.pdf) But the picture might look quite different on a large scale.