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

Abstract 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.

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Publication Details

Journal
Computational Urban Science
Published
2025-08-08
DOI
https://doi.org/10.1007/s43762-025-00198-6
Citations
1
Primary Topic
Social Media and Politics
Type
article
Field-Weighted Citation Impact
3.86

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article

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

Xianghui Dong, Yike Li, Shuang Li, Hao Jiao
1 citations
Computational Urban Science
Social Media and Politics
3.86
article

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

Xianghui Dong, Yike Li, Shuang Li, Hao Jiao
article en
1 citations

Abstract

Abstract 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.

Computational Urban ScienceVol. 5(1)
China Association for Science and Technology (CN), Yanshan University (CN)
Yanshan University, National Office for Philosophy and Social Sciences, National Social Science Fund of China
Openalex Percentile: Top 7%
Social Media and Politics
3.86
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