Quality evaluation of wikipedia articles through edit history and editor groups

Se Wang*, Mizuho Iwaihara

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

Abstract

Wikipedia is well known as a free encyclopedia, which is a type of collaborative repository system that allows the viewer to create and edit articles directly in the web browser. The weakness of the Wikipedia system is the possibility of manipulation and vandalism cannot be ruled out, so that the quality of any given Wikipedia article is not guaranteed. It is an important work to establish a quality evaluation method to help users decide how much they should trust an article in Wikipedia. In this paper we investigate the edit history of Wikipedia articles and propose a model of network structure of editors. We propose an algorithm to calculate the network structural indicator restoreratio. We use the proposed indicator combined with existing metrics to predict the quality of Wikipedia articles through support vector machine technology. The experimental results show that the proposed indicator has better performance in quality evaluation than several existing metrics.

Original languageEnglish
Title of host publicationWeb Technologies and Applications - 13th Asia-Pacific Web Conference, APWeb 2011, Proceedings
Pages188-199
Number of pages12
DOIs
Publication statusPublished - 2011 Apr 28
Event13th Asia-Pacific Conference on Web Technology, APWeb 2011 - Beijing, China
Duration: 2011 Apr 182011 Apr 20

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6612 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th Asia-Pacific Conference on Web Technology, APWeb 2011
Country/TerritoryChina
CityBeijing
Period11/4/1811/4/20

Keywords

  • Wikipedia
  • edit network
  • quality evaluation
  • web mining
  • web trust

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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