Journal of Information Resources Management ›› 2022, Vol. 12 ›› Issue (3): 152-164,180.doi: 10.13365/j.jirm.2022.03.152

Special Issue: 数字经济时代信息技术在应急管理中的理论与实践

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Computational Analysis of Public Opinion Evolution of Short Video in Emergencies

Chen Jinghao1,2,3 Wang Youfeng1,2 Nie Huizi1,2   

  1. 1.Research Center of Regional Social Governance and Innovation, Guangxi University, Nanning, 530004;
    2.School of Public Policy and Management, Guangxi University, Nanning, 530004;
    3.Center for the Studies of Information Resources of Wuhan University, Wuhan, 430072
  • Online:2022-05-26 Published:2022-06-26

Abstract: In emergencies, the public has become accustomed to using short video platforms to publish crisis short videos, track crisis situations, and express emotions. This has brought great challenges to public opinion research, especially when faced with massive and high-frequency short video public opinion data, quickly grasping its evolutionary law is very important, which can provide support for emergency decision-making. Based on this, this paper proposes a short video public opinion evolution analysis framework for emergencies. It includes functions such as short video collection, compression, life cycle division, account type statistics, video classification, emotional tendency calculation, and topic mining. By using the case data of "Zhengzhou 7.20 Heavy Rain", this paper verifies the framework and finds that it can well complete the analysis task.

Key words: Short video, Online public opinion, Emergencies, Evolution analysis, Emotional tendency, Emergency decision-making

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