WikiDetect: Automatic Vandalism Detection On Wikipedia
Journal Title: Revista Romana de Interactiune Om-Calculator - Year 2011, Vol 4, Issue 2
Abstract
Article vandalism has always been one of the greatest security issues of Wikipedia, yet few automatic (non-human) solutions for this problem have been developed so far. Large amounts of time are spent by volunteers correcting vandalized edits, instead of using this time to add quality content to Wikipedia articles. The purpose of this paper is to introduce a new vandalism detection system, based on a machine learning technique trained on a corpus of real data, and to test its performance. The application functions in a very realistic environment, as it analyzes expert annotated wikitext, extracted from the encyclopedia’s database, which is used to evaluate different vandalism detection algorithms. The paper presents a critical analysis of the obtained results, comparing them to existing solutions, and suggests different statistical classification methods that bring improvements to the system
Authors and Affiliations
Dan Cioiu, Traian Eugen Rebedea
Keywords
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