‘Fuck’ and emoticons

This quantitative study investigates gender variation online by focusing on two ‘gendered’ linguistic variables: the swear word fuck, which has often been associated with men, and emoticons, which have been shown to be used more frequently by women than men. It is based on a nineteen-million-word gender-diverse corpus, which includes comments posted in English on the community website Reddit by 372 cisgender women, 372 cisgender men, 100 transgender women, 100 transgender men and 100 nonbinary individuals (all according to self-identification). The statistical analyses take both the gender and age of the Redditors into account. Results show that in most cases transgender men do not align with cisgender men; that transgender women mostly align with cisgender women in their use of fuck, but the former produce more emoticons than the latter, and that the use of the variables did not differ between nonbinary individuals assigned male versus female at birth.

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Publication Details

Journal
Gender and Language
Published
2024-08-23
DOI
https://doi.org/10.1558/genl.25734
Citations
2
Primary Topic
Digital Communication and Language
Type
article
Field-Weighted Citation Impact
0.74
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article

‘Fuck’ and emoticons

Marie Flesch
2 citations
Gender and Language
Digital Communication and Language
0.74
article

‘Fuck’ and emoticons

Marie Flesch
article en
2 citations

Abstract

This quantitative study investigates gender variation online by focusing on two ‘gendered’ linguistic variables: the swear word fuck, which has often been associated with men, and emoticons, which have been shown to be used more frequently by women than men. It is based on a nineteen-million-word gender-diverse corpus, which includes comments posted in English on the community website Reddit by 372 cisgender women, 372 cisgender men, 100 transgender women, 100 transgender men and 100 nonbinary individuals (all according to self-identification). The statistical analyses take both the gender and age of the Redditors into account. Results show that in most cases transgender men do not align with cisgender men; that transgender women mostly align with cisgender women in their use of fuck, but the former produce more emoticons than the latter, and that the use of the variables did not differ between nonbinary individuals assigned male versus female at birth.

Gender and LanguageVol. 18(2)
Centre National de la Recherche Scientifique (FR), Université Paris Cité (FR), Laboratoire de Linguistique Formelle (FR)
Gender equality
Openalex Percentile: Top 29%
Digital Communication and Language
0.74
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‘Fuck’ and emoticons — Marie Flesch · Gender and Language (2024) | TGRS Research Map | TGRS