A diachronic study of female stereotypes in China in the 21st century based on word embeddings: an analysis of Southern Weekly

This study investigates the diachronic evolution of female stereotypes in China from 2008 to 2023, against the backdrop of rapid socio-cultural changes and uses a combination of word embeddings and qualitative analysis. Based on the corpus of Southern Weekly, the most influential newspaper in China, this study identifies 15 words with significant differences in gender association distances for analysis from the list of 114 words across multiple dimensions. By analysing the gender biases and relational shifts of the selected 15 words, this article reveals societal expectations and stereotypes of gender roles as reflected in the distribution of lexical gender biases. Furthermore, it examines the dynamic changes in word associations, offering insights into the evolving perceptions of gender roles in Chinese society. Through the lens of media discourse analysis, this research contributes to understanding the intersection of language, gender and cultural transformation in contemporary China.

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Publication Details

Journal
Cogent Arts and Humanities
Published
2025-10-18
DOI
https://doi.org/10.1080/23311983.2025.2573866
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

A diachronic study of female stereotypes in China in the 21st century based on word embeddings: an analysis of Southern Weekly

Hongjie Dong, Shujuan Li, Qiong Li
Cogent Arts and Humanities
Computational and Text Analysis Methods
article

A diachronic study of female stereotypes in China in the 21st century based on word embeddings: an analysis of Southern Weekly

Hongjie Dong, Shujuan Li, Qiong Li
article en

Abstract

This study investigates the diachronic evolution of female stereotypes in China from 2008 to 2023, against the backdrop of rapid socio-cultural changes and uses a combination of word embeddings and qualitative analysis. Based on the corpus of Southern Weekly, the most influential newspaper in China, this study identifies 15 words with significant differences in gender association distances for analysis from the list of 114 words across multiple dimensions. By analysing the gender biases and relational shifts of the selected 15 words, this article reveals societal expectations and stereotypes of gender roles as reflected in the distribution of lexical gender biases. Furthermore, it examines the dynamic changes in word associations, offering insights into the evolving perceptions of gender roles in Chinese society. Through the lens of media discourse analysis, this research contributes to understanding the intersection of language, gender and cultural transformation in contemporary China.

Cogent Arts and HumanitiesVol. 12(1)
Xi’an University (CN), University of Arts (AL), Liberal Arts University (RU), Shaanxi Normal University (CN)
Openalex Percentile: Top 59%
Computational and Text Analysis Methods
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