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Objective/Background <p>Social media has become deeply integrated into urban life, and digital collective actions by young people rooted in physical spaces are becoming increasingly common, posing new challenges to urban governance. There is an urgent need to understand the dynamic evolution of cross-platform public opinion in such events to provide a basis for precise governance.</p> Research process/Methodology <p>Taking the “Night Riding to Kaifeng” incident as an example, this study integrated 27,216 data points from the Weibo (mass communication) and Zhihu (knowledge community) platforms. Using the life cycle theory to divide public opinion into stages, the study analyzed public emotions at each stage using the emotion dictionary and employed the LDA topic model to explore the evolution of themes.</p> Research conclusion/Results <p>The study found Weibo exhibited “emotional resonance” with dominant positive emotions, effectively mobilizing offline action, while Zhihu featured diverse emotional profiles with rational debate emphasis. Grounded in collective action theory and urban social movement theory within hybrid space, this research uncovered the organizational logic and cross-platform expression patterns of emergent youth collective action in social media contexts.</p> Research value/Significance <p>This study deepens understanding of public opinion complexity in collective emergency incidents within social media contexts, offering empirical and theoretical foundations for multi-tier early warning systems, agile collaborative governance, and youth-inclusive resilient urban development.</p>

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Emotional resonance and rational reflection in hybrid space: a cross-platform study of public opinion evolution in youth digital collective action

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年8月8日

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  • Jia Jia Hao,
  • Xiaotong Dong,
  • Yingyue Li,
  • Shuang Li

摘要

Objective/Background

Social media has become deeply integrated into urban life, and digital collective actions by young people rooted in physical spaces are becoming increasingly common, posing new challenges to urban governance. There is an urgent need to understand the dynamic evolution of cross-platform public opinion in such events to provide a basis for precise governance.

Research process/Methodology

Taking the “Night Riding to Kaifeng” incident as an example, this study integrated 27,216 data points from the Weibo (mass communication) and Zhihu (knowledge community) platforms. Using the life cycle theory to divide public opinion into stages, the study analyzed public emotions at each stage using the emotion dictionary and employed the LDA topic model to explore the evolution of themes.

Research conclusion/Results

The study found Weibo exhibited “emotional resonance” with dominant positive emotions, effectively mobilizing offline action, while Zhihu featured diverse emotional profiles with rational debate emphasis. Grounded in collective action theory and urban social movement theory within hybrid space, this research uncovered the organizational logic and cross-platform expression patterns of emergent youth collective action in social media contexts.

Research value/Significance

This study deepens understanding of public opinion complexity in collective emergency incidents within social media contexts, offering empirical and theoretical foundations for multi-tier early warning systems, agile collaborative governance, and youth-inclusive resilient urban development.