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Research Article

Sexism and Male Self-Cognitive Crisis: Sentiment and Discourse Analysis of an Internet Event

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Pages 679-698 | Published online: 09 Jan 2022
 

ABSTRACT

Gender controversies and stigmatization on the internet occur from time to time. This research analyzes the “Yang Li Event” by crawling 10,507 posts on Weibo and sampling 184 reviews on the Zhihu website. Sentiment analysis verifies male-female netizens’ attitudes are polarized and reveals that negative emotion is dominant on the Internet. Male netizens’ posts use various rhetoric to construct the images of radical and pseudo-feminists, which is in turn placed in the contemporary China socio-cultural context for interpretation. This article argues that the contemporary masculine crisis is a kind of self-cognition crisis caused by a misperception of gender inequality.

Disclosure Statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the Department of Science and Technology of Guangdong Province of China under [Grant number 2020A1414010177].

Notes on contributors

Bing Hu

Bing Hu (Ph.D. South China University of Technology) is a Professor in the School of Journalism and Communication at the South China University of Technology. His research interests include media literacy, science communication, and new media technologies.

Fang-Ling Luo

Fang-ling Luo is a Postgraduate Student in the School of Journalism and Communication at the South China University of Technology. Her research interests include media literacy, gender studies, and social media events.

Zeng-Wen Peng

Zeng-wen Peng is an Undergraduate Student in the School of Journalism and Communication at the South China University of Technology. Her research interests include feminism, social media events, and video communication.

Shi-Qi Lin

Shi-Qi Lin is an Undergraduate Student in the School of Computer Science and Engineering at the South China University of Technology. Her research interests include data mining, sentiment analysis, and social media events.

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