ArticleScientific reports2026
Extracting public opinion on typhoon disasters in China: a sina weibo case study of landfalling typhoon Muifa (2022).
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
This study investigates public opinion dynamics on Sina Weibo during Typhoon Muifa (2022), which made four landfalls in China. Using a dataset of 19,417 microblog posts, we employed Latent Dirichlet Allocation (LDA) topic modeling, sentiment analysis, and correlation statistics to characterize the evolution of public attention and discourse alongside the typhoon's activity. Results identified four dominant discussion topic categories: typhoon impact, weather conditions, meteorological information, and disaster response. Personal accounts predominantly contributed to the first two categories, while official accounts dominated discussions on the latter two. A strong positive correlation emerged between daily total precipitation and the number of microblog counts (R
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