Using the web of data to study gender differences in online knowledge sources: The case of the European parliament

Laura Hollink, Astrid Van Aggelen, Jacco Van Ossenbruggen

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Gender inequalities are known to exist in Wikipedia. However, objective measures of inequality are hard to obtain, especially when comparing across languages. We study gender differences in the various Wikipedia language editions with respect to coverage of the Members of the European Parliament. This topic allows a relatively fair comparison of coverage between the (European) language editions of Wikipedia. Moreover, the availability of open data about this group allows us to relate measures of Wikipedia coverage to objective measures of their notable actions in the offline world. In addition, we measure gender differences in the content of Wikidata entries, which aggregate content from across Wikipedia language editions.

Original languageEnglish
Title of host publicationWebSci 2018 - Proceedings of the 10th ACM Conference on Web Science
PublisherAssociation for Computing Machinery, Inc
Pages381-385
Number of pages5
ISBN (Electronic)9781450355636
DOIs
Publication statusPublished - 15 May 2018
Event10th ACM Conference on Web Science, WebSci 2018 - Amsterdam, Netherlands
Duration: 27 May 201830 May 2018

Publication series

NameWebSci 2018 - Proceedings of the 10th ACM Conference on Web Science

Conference

Conference10th ACM Conference on Web Science, WebSci 2018
CountryNetherlands
CityAmsterdam
Period27/05/1830/05/18

Keywords

  • European parliament
  • Gender inequality
  • Web of data
  • Wikidata
  • Wikipedia

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