用维基数据人类性别指标监测性别差距

Maximilian Klein, Harsh Gupta, Vivek Rai, Piotr Konieczny, Haiyi Zhu
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引用次数: 23

摘要

维基百科内容中的性别差异,特别是女性在传记中的表现,是众所周知的,但一直难以衡量。此外,解决这一性别差距的努力所产生的影响很少受到重视。为了进行调查,我们利用维基百科提供的数据库“维基数据”,并引入了“维基数据人类性别指标”(WHGI),这是一个免费开源的纵向传记数据集,监测时间、空间、文化、职业和语言之间的性别差异。通过这些镜头,我们展示了女性形象在11个维度上是如何变化的。WHGI的验证基于三个外部数据集:世界历史人口,“传统”性别差异指数(GDI, GEI, GGGI和SIGI),以及美国劳工统计局的职业性别。此外,为了证明其在研究中的普遍用途,我们回顾了以前发表的关于维基百科性别偏见的发现,这些发现可以通过WHGI得到加强。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Monitoring the Gender Gap with Wikidata Human Gender Indicators
The gender gap in Wikipedia's content, specifically in the representation of women in biographies, is well-known but has been difficult to measure. Furthermore the impacts of efforts to address this gender gap have received little attention. To investigate we utilise Wikidata, the database that feeds Wikipedia, and introduce the "Wikidata Human Gender Indicators" (WHGI), a free and open source, longitudinal, biographical dataset monitoring gender disparities across time, space, culture, occupation and language. Through these lenses we show how the representation of women is changing along 11 dimensions. Validations of WHGI are presented against three exogenous datasets: the world's historical population, "traditional" gender-disparity indices (GDI, GEI, GGGI and SIGI), and occupational gender according to the US Bureau of Labor Statistics. Furthermore, to demonstrate its general use in research, we revisit previously published findings on Wikipedia's gender bias that can be strengthened by WHGI.
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