Using the web of data to study gender differences in online knowledge sources: The case of the European parliament
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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|A Europe-wide Interoperable Virtual Research Environment to Empower Multidisciplinary Research Communities and Accelerate Innovation and Collaboration|
|ACM Conference on Web Science|
|Organisation||Human-Centered Data Analytics|
Hollink, L, van Aggelen, A.E, & van Ossenbruggen, J.R. (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 (pp. 381–385). doi:10.1145/3201064.3201108