Detecting Wikipedia Vandalism Using Machine Learning - Notebook for Pan at Clef 2011

Detecting Wikipedia Vandalism Using Machine Learning - Notebook for Pan at Clef 2011

Authors	Cristian-Alexandru Dragusanu Marina Cufliuc Adrian Iftene
Publication date	2011
Links	Original

Detecting Wikipedia Vandalism Using Machine Learning - Notebook for Pan at Clef 2011 - scientific work related to Wikipedia quality published in 2011, written by Cristian-Alexandru Dragusanu, Marina Cufliuc and Adrian Iftene.

Overview

Wikipedia vandalism identification is a very complex issue, which is now mostly solved manually by volunteers. This paper presents the main components of a system built by group in order to automatically identify vandalized Wikipedia articles. The main component of system is a machine learning component that uses three types of features grouped in 3 classes: Metadata, Text and Language. Additional to previous approaches authors consider 4 new features related to vulgar, biased, sexual and miscellaneous bad words. The obtained results showed an area of 0.42464 under the PR-AUC curve and an area of 0.82963 under the ROC-AUC curve.

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Wikipedia Quality

Dragusanu, Cristian-Alexandru; Cufliuc, Marina; Iftene, Adrian. (2011). "[[Detecting Wikipedia Vandalism Using Machine Learning - Notebook for Pan at Clef 2011]]".

English Wikipedia

{{cite journal |last1=Dragusanu |first1=Cristian-Alexandru |last2=Cufliuc |first2=Marina |last3=Iftene |first3=Adrian |title=Detecting Wikipedia Vandalism Using Machine Learning - Notebook for Pan at Clef 2011 |date=2011 |url=https://wikipediaquality.com/wiki/Detecting_Wikipedia_Vandalism_Using_Machine_Learning_-_Notebook_for_Pan_at_Clef_2011}}

HTML

Dragusanu, Cristian-Alexandru; Cufliuc, Marina; Iftene, Adrian. (2011). &quot;<a href="https://wikipediaquality.com/wiki/Detecting_Wikipedia_Vandalism_Using_Machine_Learning_-_Notebook_for_Pan_at_Clef_2011">Detecting Wikipedia Vandalism Using Machine Learning - Notebook for Pan at Clef 2011</a>&quot;.