Follow Slashdot blog updates by subscribing to our blog RSS feed


Forgot your password?
Slashdot Deals: Deal of the Day - Pay What You Want for the Learn to Code Bundle, includes AngularJS, Python, HTML5, Ruby, and more. ×

Submission + - Competition on Detecting Vandalism in Wikis (

marpot writes: Recently, the 1st International Competition on Wikipedia Vandalism Detection finished: 9 groups (5 from the USA, 1 affiliated with Google) tried their best in detecting all vandalism cases from a large-scale evaluation corpus. The winning approach detects 20% of all vandalism cases without misclassifying regular edits; moreover, it can be adjusted to detect 95% of the vandalism edits while misclassifying only 30% of all regular edits. Thus, by applying both settings, manual double-checking would only be required on 34% of all edits. Nothing is known, yet, whether the rule-based bots on Wikipedia can compete with this machine learning-based strategy. Anyway, there is still a lot potential for improvements since the top 2 detectors use entirely different detection paradigms: the first analyzes an edit's content, whereas the second analyzes an edit's context using WikiTrust.
This discussion was created for logged-in users only, but now has been archived. No new comments can be posted.

Competition on Detecting Vandalism in Wikis

Comments Filter:

"Survey says..." -- Richard Dawson, weenie, on "Family Feud"