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"Misery Business?": The contribution of corpus-driven critical discourse analysis to understanding gender-variant Twitter users' experiences of employment

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"Misery Business?" : The contribution of corpus-driven critical discourse analysis to understanding gender-variant Twitter users' experiences of employment. / Webster, Lexi.

In: puntoOrg International Journal, Vol. 3, No. 1/2, 18.10.2018, p. 25-50.

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@article{e3a624925dca481cadb592967ccdc148,
title = "{"}Misery Business?{"}: The contribution of corpus-driven critical discourse analysis to understanding gender-variant Twitter users' experiences of employment",
abstract = "This contribution is a corpus-based analysis of gender-variant discourse on Twitter, exploring users{\textquoteright} strategies for organizing their experience and understanding of employment. The data are two specialized corpora: (1) the biographies of each of 2,881 self-identifying gender-variant users; (2) c.4,000,000 tweets posted by those users. The corpora are analyzed using a sociocognitive approach to discourse analysis (Van Dijk, 2009, 2015, 2017). The biographies are used to determine the demographic make-up of the sample. An analysis of the corpus of users{\textquoteright} tweets will explore, and attempt to explain, the activated discourses around aspects of employment (i.e. representations of the self-as-employee, co-worker relationships, employers, and experiences in employment). In considering the contribution linguistics can make in understanding gender-variant people{\textquoteright}s experiences of employment, the focus of this research is three-fold: (1) I consider the role of gender-variant users{\textquoteright} cognitive organization of employment experience in either perpetuating or challenging marginalization in the workplace; (2) I consider the validity and reliability of a corpus-driven analysis in comparison to the credibility and validity of previous studies on the employment experiences of gender-variant people; (3) I consider the logical and ethical implications of considering only the roles of employers, policymakers, and co-workers in remedying marginalization in the workplace.",
keywords = "gender variant, corpus linguistics, Twitter, employment, sociocognitive discourse analysis",
author = "Lexi Webster",
year = "2018",
month = oct,
day = "18",
doi = "10.19245/25.05.pij.3.1/2.03",
language = "English",
volume = "3",
pages = "25--50",
journal = "puntoOrg International Journal",
issn = "2499-1333",
number = "1/2",

}

RIS

TY - JOUR

T1 - "Misery Business?"

T2 - The contribution of corpus-driven critical discourse analysis to understanding gender-variant Twitter users' experiences of employment

AU - Webster, Lexi

PY - 2018/10/18

Y1 - 2018/10/18

N2 - This contribution is a corpus-based analysis of gender-variant discourse on Twitter, exploring users’ strategies for organizing their experience and understanding of employment. The data are two specialized corpora: (1) the biographies of each of 2,881 self-identifying gender-variant users; (2) c.4,000,000 tweets posted by those users. The corpora are analyzed using a sociocognitive approach to discourse analysis (Van Dijk, 2009, 2015, 2017). The biographies are used to determine the demographic make-up of the sample. An analysis of the corpus of users’ tweets will explore, and attempt to explain, the activated discourses around aspects of employment (i.e. representations of the self-as-employee, co-worker relationships, employers, and experiences in employment). In considering the contribution linguistics can make in understanding gender-variant people’s experiences of employment, the focus of this research is three-fold: (1) I consider the role of gender-variant users’ cognitive organization of employment experience in either perpetuating or challenging marginalization in the workplace; (2) I consider the validity and reliability of a corpus-driven analysis in comparison to the credibility and validity of previous studies on the employment experiences of gender-variant people; (3) I consider the logical and ethical implications of considering only the roles of employers, policymakers, and co-workers in remedying marginalization in the workplace.

AB - This contribution is a corpus-based analysis of gender-variant discourse on Twitter, exploring users’ strategies for organizing their experience and understanding of employment. The data are two specialized corpora: (1) the biographies of each of 2,881 self-identifying gender-variant users; (2) c.4,000,000 tweets posted by those users. The corpora are analyzed using a sociocognitive approach to discourse analysis (Van Dijk, 2009, 2015, 2017). The biographies are used to determine the demographic make-up of the sample. An analysis of the corpus of users’ tweets will explore, and attempt to explain, the activated discourses around aspects of employment (i.e. representations of the self-as-employee, co-worker relationships, employers, and experiences in employment). In considering the contribution linguistics can make in understanding gender-variant people’s experiences of employment, the focus of this research is three-fold: (1) I consider the role of gender-variant users’ cognitive organization of employment experience in either perpetuating or challenging marginalization in the workplace; (2) I consider the validity and reliability of a corpus-driven analysis in comparison to the credibility and validity of previous studies on the employment experiences of gender-variant people; (3) I consider the logical and ethical implications of considering only the roles of employers, policymakers, and co-workers in remedying marginalization in the workplace.

KW - gender variant

KW - corpus linguistics

KW - Twitter

KW - employment

KW - sociocognitive discourse analysis

U2 - 10.19245/25.05.pij.3.1/2.03

DO - 10.19245/25.05.pij.3.1/2.03

M3 - Journal article

VL - 3

SP - 25

EP - 50

JO - puntoOrg International Journal

JF - puntoOrg International Journal

SN - 2499-1333

IS - 1/2

ER -