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Sacrificing long hair and the domestic sphere: Reporting on female medical workers in Chinese online news during Covid-19

Sun, Xinmei; Chałupnik, Małgorzata

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Authors

Xinmei Sun



Abstract

In the context of the outbreak of the Covid-19 pandemic, female medical staff constituted a large proportion of frontline healthcare workers in China, with 50% of doctors and over 90% of nurses being women. In this paper, we aim to examine how these medical workers were represented at the start of the pandemic in online news reports posted on one of China’s most popular social media platforms, Weibo. In the paper, we draw upon corpus-based critical discourse analysis, comparing representations of female medical workers to those of medical workers in general. We observe that not only are female medical workers portrayed through a predominantly gendered lens, but they are also subordinated to the needs of the state. We consider the role played by state-controlled media in regulating the position of (working) women in society and probe into rhetorical means through which this is achieved.

Citation

Sun, X., & Chałupnik, M. (2022). Sacrificing long hair and the domestic sphere: Reporting on female medical workers in Chinese online news during Covid-19. Discourse and Society, https://doi.org/10.1177/09579265221096029

Journal Article Type Article
Acceptance Date Mar 11, 2022
Online Publication Date May 19, 2022
Publication Date May 19, 2022
Deposit Date Jun 21, 2022
Publicly Available Date Jun 22, 2022
Journal Discourse and Society
Print ISSN 0957-9265
Electronic ISSN 1460-3624
Publisher SAGE Publications
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1177/09579265221096029
Keywords Linguistics and Language; Sociology and Political Science; Language and Linguistics; Communication
Public URL https://nottingham-repository.worktribe.com/output/7610943
Publisher URL https://journals.sagepub.com/doi/10.1177/09579265221096029

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Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/

Copyright Statement
This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).




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