Work

Using the Web of Data to Study Gender Differences in Online Knowledge Sources

Year: 2018

Type: conference-paper

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.

Source: ACM Web Science Conference (WebSci)

DOI: 10.1145/3201064.3201108

Authors: Laura Hollink, Astrid van Aggelen, Jacco van Ossenbruggen

Institution: Centrum Wiskunde & Informatica

Language: English

Topic: Wikis in Education and Collaboration

Subfield: Communication

Field: Social Sciences

Domain: Social Sciences

SDGs: Gender equality, Reduced inequalities

Open Access status: green

Funder: Horizon 2020 Framework Programme