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  • JLS - Webster (2018a)

    Rights statement: This article has been accepted for publication in Journal of Language and Sexuality, Volume 7, Issue 2, 2018, pages: 205-236, © 2018 John Benjamins, the publisher should be contacted for permission to re-use the material in any form.

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"I Wanna Be a Toy": Self-sexualisation in gender-variant Twitter users' biographies

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"I Wanna Be a Toy": Self-sexualisation in gender-variant Twitter users' biographies. / Webster, Lexi.
In: Journal of Language and Sexuality, Vol. 7, No. 2, 27.08.2018, p. 205-236.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Webster L. "I Wanna Be a Toy": Self-sexualisation in gender-variant Twitter users' biographies. Journal of Language and Sexuality. 2018 Aug 27;7(2):205-236. Epub 2018 Aug 27. doi: 10.1075/jls.17016.web

Author

Webster, Lexi. / "I Wanna Be a Toy" : Self-sexualisation in gender-variant Twitter users' biographies. In: Journal of Language and Sexuality. 2018 ; Vol. 7, No. 2. pp. 205-236.

Bibtex

@article{dfcb2880830144ebb989af5917797670,
title = "{"}I Wanna Be a Toy{"}: Self-sexualisation in gender-variant Twitter users' biographies",
abstract = "The paradigmatic transgender woman is often negatively oversexualised, pornographised and fetishised in mainstream conceptualisations and discourses. However, self-sexualisation by transgender individuals is often portrayed as a (sex-)positive social phenomenon. Little research has been conducted that analyses the self-sexualisation strategies of the multiple instantiations of gender-variant identity, including transmasculine and non-binary social actors. This paper uses a corpus-informed socio-cognitive approach to critical discourse studies to identify differences between the self-sexualisation strategies and underpinning cognitive models of different gender-variant user-groups on Twitter. 2,565 users are coded into five categories: (1) transfeminine; (2) transmasculine; (3) transsexual; (4) transvestite; (5) non-binary. Findings show that transvestite- and transsexual-identifying users most closely fit the pornographised and fetishised conceptualisation, whilst non-binary users are the least self-sexualising user-group.",
keywords = "transgender, Twitter, sexualisation, corpus linguistics, socio-cognitive, gender-variant",
author = "Lexi Webster",
note = "This article has been accepted for publication in Journal of Language and Sexuality, Volume 7, Issue 2, 2018, pages: 205-236, {\textcopyright} 2018 John Benjamins, the publisher should be contacted for permission to re-use the material in any form.",
year = "2018",
month = aug,
day = "27",
doi = "10.1075/jls.17016.web",
language = "English",
volume = "7",
pages = "205--236",
journal = "Journal of Language and Sexuality",
issn = "2211-3770",
publisher = "John Benjamins Publishing Company",
number = "2",

}

RIS

TY - JOUR

T1 - "I Wanna Be a Toy"

T2 - Self-sexualisation in gender-variant Twitter users' biographies

AU - Webster, Lexi

N1 - This article has been accepted for publication in Journal of Language and Sexuality, Volume 7, Issue 2, 2018, pages: 205-236, © 2018 John Benjamins, the publisher should be contacted for permission to re-use the material in any form.

PY - 2018/8/27

Y1 - 2018/8/27

N2 - The paradigmatic transgender woman is often negatively oversexualised, pornographised and fetishised in mainstream conceptualisations and discourses. However, self-sexualisation by transgender individuals is often portrayed as a (sex-)positive social phenomenon. Little research has been conducted that analyses the self-sexualisation strategies of the multiple instantiations of gender-variant identity, including transmasculine and non-binary social actors. This paper uses a corpus-informed socio-cognitive approach to critical discourse studies to identify differences between the self-sexualisation strategies and underpinning cognitive models of different gender-variant user-groups on Twitter. 2,565 users are coded into five categories: (1) transfeminine; (2) transmasculine; (3) transsexual; (4) transvestite; (5) non-binary. Findings show that transvestite- and transsexual-identifying users most closely fit the pornographised and fetishised conceptualisation, whilst non-binary users are the least self-sexualising user-group.

AB - The paradigmatic transgender woman is often negatively oversexualised, pornographised and fetishised in mainstream conceptualisations and discourses. However, self-sexualisation by transgender individuals is often portrayed as a (sex-)positive social phenomenon. Little research has been conducted that analyses the self-sexualisation strategies of the multiple instantiations of gender-variant identity, including transmasculine and non-binary social actors. This paper uses a corpus-informed socio-cognitive approach to critical discourse studies to identify differences between the self-sexualisation strategies and underpinning cognitive models of different gender-variant user-groups on Twitter. 2,565 users are coded into five categories: (1) transfeminine; (2) transmasculine; (3) transsexual; (4) transvestite; (5) non-binary. Findings show that transvestite- and transsexual-identifying users most closely fit the pornographised and fetishised conceptualisation, whilst non-binary users are the least self-sexualising user-group.

KW - transgender

KW - Twitter

KW - sexualisation

KW - corpus linguistics

KW - socio-cognitive

KW - gender-variant

U2 - 10.1075/jls.17016.web

DO - 10.1075/jls.17016.web

M3 - Journal article

VL - 7

SP - 205

EP - 236

JO - Journal of Language and Sexuality

JF - Journal of Language and Sexuality

SN - 2211-3770

IS - 2

ER -