Using the Web of Data to Study Gender Differences in Online Knowledge Sources: the Case of the European Parliament
Using the Web of Data to Study Gender Differences in Online Knowledge Sources: the Case of the European Parliament
复制标题
使用数据网络研究在线知识来源中的性别差异：欧洲议会的案例
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
J. V. Ossenbruggen
中科院分区：
文献类型：
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作者：
L. Hollink;A. V. Aggelen;J. V. Ossenbruggen
众所周知，维基百科中存在性别不平等。然而，对不平等的客观衡量很难获得，尤其是在跨语言比较时。我们研究了不同维基百科语言版本中欧洲议会议员的性别差异。这个主题允许在维基百科的（欧洲）语言版本之间进行相对公平的比较。此外，关于这一群体的公开数据的可用性使我们能够将维基百科覆盖范围的度量与他们在线下世界中显著行为的客观度量联系起来。此外，我们还测量了维基数据条目内容的性别差异，这些条目汇总了维基百科各语言版本的内容。
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.
影响因子：
22.7
作者：
Vrandecic, Denny;Kroetzsch, Markus
通讯作者：
Kroetzsch, Markus