Stereotypical Gender Associations in Language Have Decreased Over Time
Stereotypical Gender Associations in Language Have Decreased Over Time
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DOI：
10.15195/v7.a1
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发表时间：
2020-01-07
影响因子：
3.4
通讯作者：
Skiena, Steven
中科院分区：
文献类型：
--
作者：
Jones, Jason J.;Amin, Mohammad Ruhul;Skiena, Steven
使用数百万的数字化书籍的语料库，我们记录了从1800年到2000年的书面英语中的刻板性别协会的存在和轨迹。我们采用新的方法，词嵌入量化配偶性别偏见：倾向于将一个域与配偶性别。我们测量男性性别偏见在四个刻板印象的性别领域：职业，家庭，科学和艺术。我们发现，随着时间的推移，语言中的刻板性别关联已经减少，但仍然存在，职业和科学方面表现出积极的配偶性别偏见和家庭和艺术方面表现出消极的配偶性别偏见。我们还寻求证据的变化协会对应的第二次转变，并找到部分支持。传统的性别意识形态潜伏在已出版的英语书籍的文本中，但传统性别联想的规模似乎随着时间的推移而减少。
Using a corpus of millions of digitized books, we document the presence and trajectory over time of stereotypical gender associations in the written English language from 1800 to 2000. We employ the novel methodology of word embeddings to quantify mate gender bias: the tendency to associate a domain with the mate gender. We measure male gender bias in four stereotypically gendered domains: career, family, science, and arts. We found that stereotypical gender associations in language have decreased over time but still remain, with career and science terms demonstrating positive mate gender bias and family and arts terms demonstrating negative mate gender bias. We also seek evidence of changing associations corresponding to the second shift and find partial support. Traditional gender ideology is latent within the text of published English-language books, yet the magnitude of traditionally gendered associations appears to be decreasing over time.