Unveiling the Dynamics of Censorship, COVID-19 Regulations, and Protest: An Empirical Study of Chinese Subreddit r/china_irl
Siyi Zhou, Luca Luceri, Emilio Ferrara

TL;DR
This study empirically investigates how COVID-19 regulations, censorship, and protests interact in China by analyzing social media discussions, censorship patterns, and linguistic adaptations on the subreddit r/china_irl during 2022.
Contribution
It provides new empirical insights into the relationship between censorship, social movements, and user behavior in a Chinese online environment during the pandemic.
Findings
Patterns in topic recurrence and censorship activities
Complex interplay between censorship and user engagement
Linguistic strategies to bypass censorship
Abstract
The COVID-19 pandemic has intensified numerous social issues that warrant academic investigation. Although information dissemination has been extensively studied, the silenced voices and censored content also merit attention due to their role in mobilizing social movements. In this paper, we provide empirical evidence to explore the relationships among COVID-19 regulations, censorship, and protest through a series of social incidents occurred in China during 2022. We analyze the similarities and differences between censored articles and discussions on r/china\_irl, the most popular Chinese-speaking subreddit, and scrutinize the temporal dynamics of government censorship activities and their impact on user engagement within the subreddit. Furthermore, we examine users' linguistic patterns under the influence of a censorship-driven environment. Our findings reveal patterns in topic…
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Taxonomy
TopicsHate Speech and Cyberbullying Detection · Social Media and Politics · Misinformation and Its Impacts
