Topical and emotional expressions regarding extreme weather disasters on social media: a comparison of posts from official media and the public.

ABSTRACT: Understanding media frames and the public resonance during disasters is essential for making inclusive climate change and adaptation policies in the context of increasingly extreme weather events. In this study, we use the extreme weather and flood event that occurred in July 2021 in Zhengzhou, China, as a case study to investigate how official media in China reported this event and how the public responded. Moreover, since one accountability investigation report regarding this disaster was released in January 2022, we also compared these posts between the emergency response period and the post-crisis learning period after the report's release. Topic modeling using the LDA (Latent Dirichlet Allocation) method and emotion analysis were conducted to analyze the posts from Weibo, China's prim

SUBMITTER: Han Z 

PROVIDER: S-EPMC9703438 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature