Emergency warning information repost behavior of Weibo users
CHEN Anying1,2, ZHU Haoran1,2, SU Guofeng1,2
1. Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing 100084, China; 2. Beijing Key Laboratory of City Integrated Emergency Response Science, Beijing 100084, China
Abstract:Online social networks, such as Sina Weibo, are playing increasingly important roles in disseminating early warning information. This paper uses disaster warning information as an example to analyze the motivation of users for spreading emergency warning information on Sina Weibo from the perspectives of interest correlation, rational thinking and user interest. The results show that a regional index and an interest index predict user warning information repost behavior. The prediction accuracy of this model is similar to related research and is interpretable. This research can predict and identify user repost behavior which can facilitate delivery of emergency warning information and expand the information spread.
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