Investigating disaster response through social media data and the Susceptible-Infected-Recovered (SIR) model: A case study of 2020 Western U.S. wildfire season. (arXiv:2308.05281v1 [cs.SI])

Effective disaster response is critical for affected communities. Responders
and decision-makers would benefit from reliable, timely measures of the issues
impacting their communities during a disaster, and social media offers a
potentially rich data source. Social media can reflect public concerns and
demands during a disaster, offering valuable insights for decision-makers to
understand evolving situations and optimize resource allocation. We used
Bidirectional Encoder Representations from Transformers (BERT) topic modeling
to cluster topics from Twitter data. Then, we conducted a temporal-spatial …

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