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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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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 -