Using the Web of Data to Study Gender Differences in Online Knowledge Sources: the Case of the European Parliament

被引：6

作者：

Hollink, Laura ^{[1
]}

van Aggelen, Astrid ^{[1
]}

van Ossenbruggen, Jacco ^{[1
]}

机构：

[1] Ctr Wiskunde & Informat, Amsterdam, Netherlands

来源：

WEBSCI'18: PROCEEDINGS OF THE 10TH ACM CONFERENCE ON WEB SCIENCE | 2018年

基金：

欧盟地平线“2020”;

关键词：

Web of Data; Wikipedia; Wikidata; Gender Inequality; European Parliament;

D O I：

10.1145/3201064.3201108

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：381 / 385

页数：5

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