Toggle Main Menu Toggle Search

Open Access padlockePrints

“She uses men to boost her career”: Chinese digital cultures and gender stereotypes of female academics in Zhihu discourses

Lookup NU author(s): Dr Altman PengORCiD, Dr Majid KhosravinikORCiD

Downloads


Licence

This is the authors' accepted manuscript of an article that has been published in its final definitive form by Routledge, 2023.

For re-use rights please refer to the publisher's terms and conditions.


Abstract

Portrayed by the media as the story of ‘how a female PhD juggles intimate relationship with four male PhD academics’, the LM incident, named after the female main character of the story, was a high-profile case, which provoked public debates on Chinese social media in 2019. In this article, we explore how the stereotyping of female PhDs plays out in Chinese Internet users’ discussions about the LM incident. We collected a total of 632 relevant posts from the most popular Chinese community question-answering (CQA) site – Zhihu and analysed them by drawing on critical discourse analysis (CDA). The research findings reveal how a sexualised portrayal of female PhDs, which is dramatically ‘different’ from the traditional, asexual stereotypes of well-educated women, is established in Zhihu users’ postings. Many Zhihu users, including both women and men, mobilise an overwhelmingly sexualised portrayal of female PhDs, which speaks to the normalisation of patriarchal discourses in the status quo of Chinese academia and beyond. The research findings shed light on post-socialist gender politics, which facilitates the perpetuation of gender essentialism in China in the post-reform era.


Publication metadata

Author(s): Peng AY, Hou JZ, KhosraviNik M, Zhang X

Publication type: Article

Publication status: Published

Journal: Social Semiotics

Year: 2023

Volume: 33

Issue: 4

Pages: 750-768

Online publication date: 18/06/2021

Acceptance date: 18/05/2021

Date deposited: 23/06/2021

ISSN (print): 1035-0330

ISSN (electronic): 1470-1219

Publisher: Routledge

URL: https://doi.org/10.1080/10350330.2021.1940920

DOI: 10.1080/10350330.2021.1940920


Altmetrics

Altmetrics provided by Altmetric


Share