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Author/Affiliation: Agni DikaOpen AccessArticle
7 Pages, 877 KB 
Detection of Vandalism in Wikipedia using Metadata Features – Implementation in Simple English and Albanian sections
Abstract:
In this paper, we evaluate a list of classifiers in order to use them in the detection of vandalism by focusing on metadata features. Our work is focused on two low resource data sets (Simple English and Albanian) from Wikipedia. The aim of this research is to prove that this form of vandalism detection applied…
Read More(This article belongs to Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
7 Pages, 643 KB
The Class Imbalance Problem in the Machine Learning Based Detection of Vandalism in Wikipedia across Languages
Abstract:
This paper analyses the impact of current trend in applying machine learning in detection of vandalism, with the specific aim of analyzing the impact of the class imbalance in Wikipedia articles. The class imbalance problem has the effect that almost all the examples are labelled as one class (legitimate editing); while far fewer examples are…
Read More(This article belongs to the SP2 (Special Issue on Computer Systems, Information Technology, Electrical and Electronics Engineering 2017) & Section Artificial Intelligence in Computer Science (CAI))