Contending Over Uncertainty - Cheng, Xiaoxiao
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Erscheint vorauss. 4. Februar 2026
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Focusing on a decade of controversy surrounding genetically modified organisms (GMOs) in China, this book provides a rigorous, mixed-method analysis of how risk discourses are constructed and disseminated on the social media platform Weibo. The book uncovers the rich diversity of competing risk frames and reveals how digital platforms can democratize the negotiation of scientific uncertainty, yet also fragment public deliberation and discussion, leading to the reinforcement of new power dynamics and discursive inequalities. Breaking down the mechanisms behind the viral spread of GMO risk…mehr

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Produktbeschreibung
Focusing on a decade of controversy surrounding genetically modified organisms (GMOs) in China, this book provides a rigorous, mixed-method analysis of how risk discourses are constructed and disseminated on the social media platform Weibo. The book uncovers the rich diversity of competing risk frames and reveals how digital platforms can democratize the negotiation of scientific uncertainty, yet also fragment public deliberation and discussion, leading to the reinforcement of new power dynamics and discursive inequalities. Breaking down the mechanisms behind the viral spread of GMO risk information, it examines how message features, contextual factors (e.g., source credibility), network structures, and social contagion processes shape what we believe and share. Ultimately, it will advance a deeper understanding of digital risk communication in increasingly platform-mediated societies. It is an essential resource for science policymakers, risk communication professionals, and other stakeholders seeking to navigate the complexities of risk and uncertainty in the digital age.
Autorenporträt
Xiaoxiao Cheng is the Assistant Professor and Associate Research Fellow at the College of Media and International Culture, Zhejiang University. He holds a PhD from Tsinghua University. His research interests include science/environmental/risk communication, computational social science, and media effect studies.