WikiDetect: Automatic Vandalism Detection On Wikipedia

Journal Title: Romanian Journal of Human - Computer Interaction - 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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  • EP ID EP28853
  • DOI -
  • Views 424
  • Downloads 11

How To Cite

Dan Cioiu, Traian Eugen Rebedea (2011). WikiDetect: Automatic Vandalism Detection On Wikipedia. Romanian Journal of Human - Computer Interaction, 4(2), -. https://europub.co.uk/articles/-A-28853