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

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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 '18
Subtitle of host publicationProceedings of the 10th ACM Conference on Web Science
PublisherAssociation for Computing Machinery, Inc
Number of pages5
ISBN (Electronic)9781450355636
Publication statusPublished - May 2018
Event10th ACM Conference on Web Science, WebSci 2018 - Amsterdam, Netherlands
Duration: 27 May 201830 May 2018


Conference10th ACM Conference on Web Science, WebSci 2018


We thank Jan Wielemaker for providing help with data analysis on SWISH DataLab. This research was partially supported by the VRE4EIC project, funded from H2020 grant No 676247.

FundersFunder number
Horizon 2020 Framework Programme676247
Volvo Research and Educational Foundations


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


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