Sociology

Sinophobia was popular in Chinese language communities on Twitter during the early COVID-19 pandemic

Y. Zhang, H. Lin, et al.

Dive into the intriguing findings of research conducted by Yongjun Zhang, Hao Lin, Yi Wang, and Xinguang Fan, which uncovers the dynamics of Sinophobia in Chinese-language Twitter communities during the early COVID-19 pandemic. With an analysis of over 25 million tweets, discover how sentiments shifted and issues like US-China relations took center stage. Don't miss these critical insights!

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Abstract

This study investigates Sinophobia within Chinese-language Twitter communities during the early COVID-19 pandemic. Utilizing a database of over 25 million Chinese tweets, the researchers analyzed sentiments, content, and topics using ROBERTa and structural topic modeling. Results indicate that 62.2% of tweets expressed negative sentiment toward China, primarily targeting the government and CCP rather than the Chinese people. The most prevalent topics included politics (Hong Kong protests, Taiwan issues), COVID-19, and US-China relations. Pro-China and anti-China users exhibited limited cross-engagement, revealing significant segregation within the online discourse.

Publisher

Humanities & Social Sciences Communications

Published On

Aug 08, 2023

Authors

Yongjun Zhang, Hao Lin, Yi Wang, Xinguang Fan

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