How Fair is Gender-Fair Language? Insights from Gender Ratio Estimations in French

Author:

Xiao Hualin123ORCID,Strickland Brent234,Peperkamp Sharon1

Affiliation:

1. Laboratoire de Sciences Cognitives et Psycholinguistique (ENS–PSL, EHESS, CNRS), Paris, France

2. Institut Jean Nicod (ENS–PSL, EHESS, CNRS), Paris, France

3. School of Collective Intelligence, UM6P, Rabat, Morocco

4. Africa Business School, UM6P, Rabat, Morocco

Abstract

Heated societal debates in various countries concern the use of gender-fair language, meant to replace the generic use of grammatically masculine forms. Advocates and opponents of gender-fair language disagree on – among other things – the question of whether masculine forms leave women underrepresented in people's minds. We investigated the influence of linguistic form on the mental representations of gender in French. Participants read a short text about a professional gathering and estimated the percentages of men and women present at the gathering. Results showed higher estimates of the percentage of women in response to two gender-fair forms relative to the masculine form. Comparisons with normed data on people's perception of real-world gender ratios additionally showed that the gender-fair forms removed or reduced a male bias for neutral- and female-stereotyped professions, respectively, yet induced a female bias for male-stereotyped professions. Thus, gender-fair language increases the prominence of women in the mind, but has varying effects on consistency, i.e., the match with default perceptions of real-world gender ratios.

Funder

ERC H2020

Agence Nationale de la Recherche

China Scholarship Council

European Research Council

Publisher

SAGE Publications

Subject

Linguistics and Language,Sociology and Political Science,Anthropology,Language and Linguistics,Education,Social Psychology

Reference40 articles.

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