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Author (up) Xiao Li; Julia Kotlarsky; Michael D. Myers pdf  isbn
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  Title Crowdsourcing and the COVID-19 Response in China: An Actor-Network Perspective Type Conference Article
  Year 2023 Publication Proceedings of the ISCRAM Asia Pacific Conference 2022 Abbreviated Journal Proc. ISCRAM AP 2022  
  Volume Issue Pages 240-246  
  Keywords Disaster; Crowdsourcing; Actor-Network; Social Media  
  Abstract Crowdsourcing, serving as a distributed problem-solving and production model, can help in the response to a disaster. The current literature focuses on the flow of crowdsourced information, but the question of how crowdsourcing contributes to physical disaster workflows remains to be addressed. Based on a case study of China’s response to COVID-19, this research aims to explore the role of crowdsourcing stakeholders and how they acted to respond to the outbreak. Actor network theory is applied as the lens to elucidate the roles of different heterogeneous actors. The preliminary results indicate that socio-technical actors activated, absorbed, associated, and aligned with each other to combat the pandemic. We suggest ways to augment the actor network to address potential future outbreaks.  
  Address University of Auckland; University of Auckland; University of Auckland  
  Corporate Author Thesis  
  Publisher Massey Unversity Place of Publication Palmerston North, New Zealand Editor Thomas J. Huggins, V.L.  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-0-473-66845-7 Medium  
  Track Social Media for Disaster Response Expedition Conference  
  Notes Approved no  
  Call Number ISCRAM @ idladmin @ Serial 2497  
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