Research on emotional tendency of earthquake disaster based on E-Trans model: take the topic of “Sichuan Earthquake” on microblog as an example

Qinglu Yuan, Shujuan Wang () and Nan Li
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Qinglu Yuan: Institute of Disaster Prevention
Shujuan Wang: Institute of Disaster Prevention
Nan Li: Institute of Disaster Prevention

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2024, vol. 120, issue 6, No 4, 5057-5074

Abstract: Abstract With the rapid development of network technology, research on the emotional tendencies of online disasters has increasingly played a significant role in responding to disaster public opinion events. This paper collected data from microblogs and selects three relatively large earthquakes that occurred in Sichuan in 2022 as research samples, namely the Lushan earthquake that occurred on June 1, the Malkang earthquake that occurred on June 10, and the Luding earthquake that occurred on September 5. By calling the E-Trans emotional analysis model, the emotional tendency values were obtained. Using Python language and a time–frequency of 15 min, the original content posted by microblog users within 24 h after the earthquake was analyzed for emotional tendencies, and research conclusions were drawn on the characteristics of emotional tendencies in earthquake disasters and related factors. The results show that the emotional tendencies of the three earthquakes conform to the “Three·Three” emotional tendency model for disasters, and the emotional tendency values in the three periods show a significant marginal diminishing effect. Changes in emotional tendencies during earthquake disasters are mainly related to the magnitude of the earthquake, the number of aftershocks, issues that the public is more concerned about on microblogs, and earthquake prevention and mitigation department microblog promotions. This study can provide a reference for post-disaster emergency response and network public opinion guidance for earthquake prevention and mitigation.

Keywords: E-Trans emotional analysis model; Disaster public opinion; Emotional tendency; Public opinion guidance; Sichuan earthquake (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s11069-024-06421-7

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