Gender bias and stereotypes in linguistic example sentences
Bibliographic Data
| ID | 5481733 |
|---|---|
| Authors | Hadas Kotek (0009-0006-0360-2105), Rikker Dockum (0000-0002-6640-808X), Sarah Babinski (0000-0001-7764-5876), Christopher Geissler (0000-0003-4910-3062) |
| Year | 2021 |
| Volume | 97 |
| Issue | 4 |
| Pages | 653-677 |
| Publication date | 2021-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Language (JOURNAL) |
| Journal identifiers | ISSN: 0097-8507 • E-ISSN: 1535-0665 |
| Publisher | Project MUSE (PUBLISHER • US) |
| DOI | 10.1353/lan.2021.0060 |
| OpenAlex | W4250499230 |
| Language | EN |
| Citations received | 11 |
This article examines the distribution of gender in arguments in example sentences in contemporary linguistics publications. Prior studies have shown that example sentences in syntax textbooks systematically underrepresent women and perpetuate gender stereotypes (Macaulay & Brice 1994, 1997, Pabst et al. 2018). Here we examine example sentences in articles published over the past twenty years in Language , Linguistic Inquiry , and Natural Language & Linguistic Theory and find striking similarities to this prior work. Among our findings, we show a stark imbalance of male ( N = 12,117) to female ( N = 5,571) arguments, where male-gendered arguments are more likely to be subjects, and female-gendered arguments nonsubjects. We show that female-gendered arguments are more likely to be referred to using a kinship term, to exhibit positive emotions, and to be the object of affection, whereas male-gendered arguments are more likely to have occupations, to exhibit negative emotions, and to perpetrate violence. We show that this pattern has remained stable, with little change, over the course of the twenty years that we examine, leading up to the present day. We conclude with a brief discussion of possible remedies and suggestions for improvement
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| Unique citing works | 11 |
|---|---|
| Citations per year | 2,75 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 9 |