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

doi:10.1145/3201064.3201108

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 proceeding › Conference contribution › Academic › peer-review

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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 language	English
Title of host publication	WebSci '18
Subtitle of host publication	Proceedings of the 10th ACM Conference on Web Science
Publisher	Association for Computing Machinery, Inc
Pages	381-385
Number of pages	5
ISBN (Electronic)	9781450355636
DOIs	https://doi.org/10.1145/3201064.3201108
Publication status	Published - May 2018
Event	10th ACM Conference on Web Science, WebSci 2018 - Amsterdam, Netherlands Duration: 27 May 2018 → 30 May 2018

Conference

Conference	10th ACM Conference on Web Science, WebSci 2018
Country/Territory	Netherlands
City	Amsterdam
Period	27/05/18 → 30/05/18

Funding

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.

Funders	Funder number
Horizon 2020 Framework Programme	676247
Volvo Research and Educational Foundations

Keywords

European parliament
Gender inequality
Web of data
Wikidata
Wikipedia

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1145/3201064.3201108

Using the Web of Data to Study Gender Differences in Online Knowledge SourcesFinal published version, 885 KBLicence: Article 25fa Dutch Copyright Act

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Cite this

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

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.",

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Hollink, L, Van Aggelen, A & Van Ossenbruggen, J 2018, Using the web of data to study gender differences in online knowledge sources: The case of the European parliament. in WebSci '18: Proceedings of the 10th ACM Conference on Web Science. Association for Computing Machinery, Inc, pp. 381-385, 10th ACM Conference on Web Science, WebSci 2018, Amsterdam, Netherlands, 27/05/18. https://doi.org/10.1145/3201064.3201108

Using the web of data to study gender differences in online knowledge sources: The case of the European parliament. / Hollink, Laura; Van Aggelen, Astrid; Van Ossenbruggen, Jacco.
WebSci '18: Proceedings of the 10th ACM Conference on Web Science. Association for Computing Machinery, Inc, 2018. p. 381-385.

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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AB - 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.

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

Abstract

Conference

Funding

Keywords

UN SDGs

Access to Document

Persistent URL (handle)

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