Miscommunicating the COVID-19 Pandemic (eBook)

An Asian Perspective
Artikelnummer: 978-1-00-095468-5
Einband: PDF
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
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This book tackles the infodemic-the rapid, widespread diffusion of false, misleading, or inaccurate information about the disease and its ramifications-triggered by the COVID-19 pandemic. With a focus on four Asian societies, the book compares and analyzes the spread of COVID-19 misinformation and its broad impacts on the public in Beijing, Hong Kong, Taipei, and Singapore.

Providing both a comprehensive overview of the phenomenon of misinformation and cross-societal analyses of patterns, the book features in-depth analyses of the prevalence of COVID-19 misinformation and engagement and explores its consequences in an Asian context. The book sheds lights on these key questions:

  • What types of infodemic messages circulate widely on popular social media platforms?
  • What factors account for exposure to and engagement with debunked yet popular COVID-19 misinformation?
  • How does exposure to widely circulated COVID-19 misinformation affect people's beliefs, attitudes, and adoption of preventive measures to cope with the pandemic?
  • How do macro social differences condition the diffusion and impacts of COVID-19 misinformation?
  • What intervention strategies can counter the misinformation?

Presenting scientific insights and empirical findings on the pressing issues about infodemic, this book will be of great interest to students and researchers of communication studies, political science, public health, crisis communication, and Asian Studies, as well as policymakers and practitioners who wish to acquire cutting-edge, evidence-based knowledge about combating misinformation during a global pandemic.

This book tackles the infodemic-the rapid, widespread diffusion of false, misleading, or inaccurate information about the disease and its ramifications-triggered by the COVID-19 pandemic. With a focus on four Asian societies, the book compares and analyzes the spread of COVID-19 misinformation and its broad impacts on the public in Beijing, Hong Kong, Taipei, and Singapore.

Providing both a comprehensive overview of the phenomenon of misinformation and cross-societal analyses of patterns, the book features in-depth analyses of the prevalence of COVID-19 misinformation and engagement and explores its consequences in an Asian context. The book sheds lights on these key questions:

  • What types of infodemic messages circulate widely on popular social media platforms?
  • What factors account for exposure to and engagement with debunked yet popular COVID-19 misinformation?
  • How does exposure to widely circulated COVID-19 misinformation affect people's beliefs, attitudes, and adoption of preventive measures to cope with the pandemic?
  • How do macro social differences condition the diffusion and impacts of COVID-19 misinformation?
  • What intervention strategies can counter the misinformation?

Presenting scientific insights and empirical findings on the pressing issues about infodemic, this book will be of great interest to students and researchers of communication studies, political science, public health, crisis communication, and Asian Studies, as well as policymakers and practitioners who wish to acquire cutting-edge, evidence-based knowledge about combating misinformation during a global pandemic.

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VerlagTaylor & Francis Ebooks
EinbandPDF
Erscheinungsjahr2023
Seitenangabe250 S.
AusgabekennzeichenEnglisch
Abbildungen15 schwarz-weiße Abbildungen, 15 schwarz-weiße Fotos, 101 schwarz-weiße Tabellen
Auflage23001 A. 1. Auflage
PlattformPDF
AutorWei, Ran / Lo, Ven-Hwei / Huang, Yi-Hui / Dong, Dong / Liang, Hai / Huang, Guanxiong / Wang, Sibo

Über den Autor Ran Wei

Wendy Ran Wei, PhD, is an expert in AI, ML, and LLMs, specializing in search and recommendation systems. She is a Machine Learning Engineer at Airbnb, where she develops retrieval and ranking models and brings LLM technologies into production. She previously held engineering roles at Meta, Pinterest, and Twitter, building large-scale search and recommendation solutions. Dr. Wei received her PhD in Statistics from The Ohio State University. Huijun Wu, PhD, is an Engineer at Samsung Research America with expertise in large-scale distributed systems and data processing. He received his PhD in Computer Science from Arizona State University.

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