The Chinese Civil Code’s impact on the protection of Virtual Reputation in China

Ge, Jiangqiu; Chen, Li

doi:10.1080/10192557.2022.2033088

Cited by 1 publication

(2 citation statements)

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“…Scholars have made significant efforts in this regard, with some modifying the concept of network mass events while retaining its core [12][13][14][15][16]. Others have employed alternative concepts to study the phenomenon [17][18][19][20][21], while some argue that network mass events are essentially a subset of networked collective behavior and should be included in the discussion, potentially replacing networked collective behavior directly. Reflections on and revisions of the concept of online mass events have revealed a shift towards a neutral and scientific definition.…”

Section: Cross-cultural Collective Behavior Analysismentioning

confidence: 99%

“…This literature review aims to provide a comprehensive analysis of previous studies and identify the gaps and limitations that our research seeks to address. Expanding upon this perspective, our study investigates the rational resistance displayed by the Chinese public in the online domain following the relaxation of COVID-19 lockdown measures [20][21][22][23][24].…”

Section: Introductionmentioning

confidence: 99%

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Rational resistance amidst gentle breeze and mild rain: Examining online collective behavior among the Chinese public using the elaborated social identity model

Qing,

Xuebo

2024

PLoS ONE

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This research examines internet collective behavior in mainland China during the COVID-19 pandemic, focusing on the factors and characteristics that drive such behavior. The Chinese government initially implemented a conservative and biased policy to contain the spread of the virus, but the sudden lifting of lockdown measures in late 2022 resulted in a surge in infections and scarcity of medical resources. This policy shift led many Chinese internet users to perceive the government’s actions as hasty and harsh, prompting them to engage in collective online behavior. The study employed a survey-based approach, collecting 1,626 valid questionnaires, which underwent reliability testing, descriptive statistical analysis, and a difference-in-differences test. A structural equation model (SEM) was then constructed and applied to comprehensively analyze the mediating and moderating effects of latent variables. Ethical considerations were prioritized, with informed consent obtained from all participants, who were provided with detailed information about the study and given sufficient time to review and ask questions. The research yielded three primary conclusions: the Chinese public demonstrated a perception of fairness and exhibited obedience, respect, and cooperation with the government during the epidemic; the observed online collective behavior can be characterized as a moderate and rational form of resistance, explained by the elaborated social identity model (ESIM); and the middle class consistently adopted a self-vulnerability strategy, positioning themselves as beneficiaries of protection to maximize their own interests in epidemic prevention and control. This study shows notable insights into internet collective behavior in mainland China during the COVID-19 pandemic, highlighting perceptions, resistance, and strategies adopted by different segments of the population.

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