Objective: In this study, we carried out a text analysis on the information disseminated and discussed among netizens on the Baidu Post Bar (the world’s largest Chinese forum) during the COVID-19 epidemic, to create a policy basis for health administrative departments. Methods: We used Python tools to search for the relevant data on the Baidu Post Bar. Next, a text analysis was performed on the posts’ contents using a combination of LDA, sentiment analysis, and correlation analysis. Results: According to the LDA analysis, the public was highly interested in topics such as COVID-19 prevention, infection symptoms, infection and coping measures, sources of transmission and treatments, community management, and work resumption. The majority of the public had negative emotional values, yet a portion of the public held positive emotional values. We also performed a correlation analysis of the influencing factors was established. Conclusion: Netizens’ degree of concern shown in their posts was greatly associated with the spread of COVID-19. With the rise, diffusion, outbreak, and mitigation of COVID-19 in China, netizens have successively created a large number of posts, and the topics of discussion varied over time. Therefore, the media and the government have the responsibility to distribute positive information, to correctly guide the public’s emotions to bring some sort of reassurance to the public.

Purpose The purpose of this paper is to study major influencing factors on public satisfaction with regard to information disclosure amid typhoon disasters. Internal latent variables, including disaster information quality, information disclosure channels and disaster perception levels, significantly affected the degree of public satisfaction, which was key factors in determining account consumer satisfaction. Design/methodology/approach By conducting the questionnaire survey in typhoon-prone areas, 326 copies of the questionnaire about public satisfaction towards government information disclosure about typhoon were collected. An exponential model of satisfaction about information disclosure amid typhoon disasters was constructed and analyzed through the selection of latent variables, the hypotheses of the structural relationship and the establishment of measurable variables. Findings Disaster information quality, disaster information disclosure channels and disaster perception levels were all positively correlated with the dimensions of information performance perception dimensions. Public expectations also made positive contributions to public satisfaction. These findings strongly support the hypothesis that public satisfaction affects the government image and public trust. Originality/value With the Leizhou Peninsula, China attacked by the typhoon disasters as an example, the SEM was adopted to simulate the routes and its feasibility and scientificity were validated. It is valuable to build and analyze an evaluation model based on a structural equation model underlying the public satisfaction towards information disclosure amid typhoon disasters.

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