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Should we tweet this? Generative response modeling for predicting reception of public health messaging on Twitter. (arXiv:2204.04353v2 [cs.CL] UPDATED)
May 16, 2022, 1:11 a.m. | Abraham Sanders, Debjani Ray-Majumder, John S. Erickson, Kristin P. Bennett
cs.CL updates on arXiv.org arxiv.org
The way people respond to messaging from public health organizations on
social media can provide insight into public perceptions on critical health
issues, especially during a global crisis such as COVID-19. It could be
valuable for high-impact organizations such as the US Centers for Disease
Control and Prevention (CDC) or the World Health Organization (WHO) to
understand how these perceptions impact reception of messaging on health policy
recommendations. We collect two datasets of public health messages and their
responses from …
arxiv health messaging modeling public public health tweet twitter
More from arxiv.org / cs.CL updates on arXiv.org
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