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<p>With the growing role of social media in crisis communication, public opinion on urban public safety emergencies spreads rapidly, creating multipath configurational effects. Using the Technology-Organization-Environment framework, this study examines the configurational mechanisms of online opinion diffusion from the perspectives of event characteristics, public behavior, and government response. Based on 64 typical urban cases in China (2020–2025), fuzzy-set Qualitative Comparative Analysis and Necessary Condition Analysis are applied to identify multiple pathways leading to high diffusion. The results show that event severity, emotional contagion, government responsiveness, and media involvement interact in diverse ways to drive information amplification. No single factor proves necessary, underscoring the complexity of opinion formation. This study provides theoretical insights into multidimensional interactions and practical implications for strengthening risk governance and opinion management in digital urban environments.</p>

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A Study on the Dissemination Pathways of Public Opinion in Urban Public Safety Emergencies Driven by Social Media

  • 期刊论文

  • 发表日期：

    2025年10月18日

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  • Ke Yin

摘要

With the growing role of social media in crisis communication, public opinion on urban public safety emergencies spreads rapidly, creating multipath configurational effects. Using the Technology-Organization-Environment framework, this study examines the configurational mechanisms of online opinion diffusion from the perspectives of event characteristics, public behavior, and government response. Based on 64 typical urban cases in China (2020–2025), fuzzy-set Qualitative Comparative Analysis and Necessary Condition Analysis are applied to identify multiple pathways leading to high diffusion. The results show that event severity, emotional contagion, government responsiveness, and media involvement interact in diverse ways to drive information amplification. No single factor proves necessary, underscoring the complexity of opinion formation. This study provides theoretical insights into multidimensional interactions and practical implications for strengthening risk governance and opinion management in digital urban environments.