by applying a dynamic topic model to COVID-19 related tweets by U.S. Governors and Presidential cabinet members .
We use a network Hawkes binomial topic model
In this paper we analyze the Twitter narratives around this decision making by applying a dynamic topic model to COVID-19 related tweets by U.S. Governors and Presidential cabinet members .
We use a network Hawkes binomial topic model to track evolving sub - topics around risk , testing and treatment .