Home > Research > Publications & Outputs > Crowding Out the Crowd

Electronic data

View graph of relations

Crowding Out the Crowd: The Transformation of Network Disaster Communication Patterns on Weibo

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Publication date30/06/2020
Host publicationISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management
Place of PublicationBlacksburg, VA
PublisherVirginia Tech
Number of pages8
ISBN (print)97819493732745
<mark>Original language</mark>English


There is a surge in people turning to social media in disasters in China. In the 2010 Yushu earthquake, 5,979 Weibos were posted. Almost 10 years on, in the 2019 Yibin earthquake it was 17,495. This study presents a Social Network Analysis of the dynamics of this growth, taking the six major Chinese earthquakes of this decade as a case study. By constructing relationship matrices, the research reveals a transformation of networked crisis communication patterns on Weibo. We show how communication relationships between verified organisational users, government agencies, verified individual users (such as celebrities) and unverified ordinary users have changed, and we observe that government agencies are ‘crowding out the crowd’ of other users. We consider key aspects and the ethical complexities of this phenomenon.