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 PRINTED FROM the OXFORD RESEARCH ENCYCLOPEDIA, COMMUNICATION ( (c) Oxford University Press USA, 2016. All Rights Reserved. Personal use only; commercial use is strictly prohibited (for details see Privacy Policy and Legal Notice).

date: 25 May 2018

Summary and Keywords

Language is one of the most powerful means through which sexism and gender discrimination are perpetrated and reproduced. The content of gender stereotypes, according to which women should display communal/warmth traits and men should display agentic/competence traits, is reflected in the lexical choices of everyday communication. As a consequence, language subtly reproduces the societal asymmetries of status and power in favor of men, which are attached to the corresponding social roles. Moreover, the hidden yet consensual norm according to which the prototypical human being is male is embedded in the structure of many languages. Grammatical and syntactical rules are built in a way that feminine terms usually derive from the corresponding masculine form. Similarly, masculine nouns and pronouns are often used with a generic function to refer to both men and women. However, such linguistic forms have the negative effects of making women disappear in mental representations. Although the use of gender-fair linguistic expressions can effectively prevent these negative consequences and promote gender equality, there are even more implicit forms of gender bias in language that are difficult to suppress. By choosing terms at different levels of abstraction, people can affect the attributions of the receiver in a way that is consistent with their stereotypical beliefs. Linguistic abstraction, thus, is a very subtle resource used to represent women in a less favorable way and thus to enact gender discrimination without meaning to discriminate or even be aware that this linguistic behavior has discriminatory results. In order to reduce gender bias, it is necessary to change people’s linguistic habits by making them aware of the beneficial effects of gender-fair expressions.

Keywords: linguistic gender bias, sexism, masculine generics, gender-fair language, language abstraction, gender stereotypes, intergroup communication

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