"Misery Business?": The contribution of corpus-driven critical discourse analysis to understanding gender-variant twitter users' experiences of employment
"Misery Business?": The contribution of corpus-driven critical discourse analysis to understanding gender-variant twitter users' experiences of employment
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 gendervariant 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.
Gender variant, Corpus linguistics, Sociocognitive discourse studies
25-50
Webster, Lexi
73920a7c-4aac-4188-81fb-b604c1dac45c
16 October 2018
Webster, Lexi
73920a7c-4aac-4188-81fb-b604c1dac45c
Webster, Lexi
(2018)
"Misery Business?": The contribution of corpus-driven critical discourse analysis to understanding gender-variant twitter users' experiences of employment.
pIJ: puntOorg International Journal, 3 (1/2), .
(doi:10.19245/25.05.pij.3.1/2.03).
Abstract
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 gendervariant 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.
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Published date: 16 October 2018
Keywords:
Gender variant, Corpus linguistics, Sociocognitive discourse studies
Identifiers
Local EPrints ID: 471197
URI: http://eprints.soton.ac.uk/id/eprint/471197
ISSN: 2499-1333
PURE UUID: 00a03590-2831-4f2c-b669-daa8b245a8ed
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Date deposited: 31 Oct 2022 17:43
Last modified: 17 Mar 2024 04:14
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Author:
Lexi Webster
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