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COVID-19 Pandemic Attention Dynamics Within State Level Twitter Discourse}

Arnold, Michael V
; 
Tarren, Amelia
; 
Dodds, Peter
; 
Danforth, Chris
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Abstract
The COVID-19 pandemic has captured collective attention on an unprecedented scale in the era of social media. New data streams have been created to guide public health inventions, from traditional testing and hospitalization data to new creative sources like wastewater surveillance. Social media data can contribute as well, providing an alternative to traditional polling methods with real-time feedback. We aggregate tweets by state to quantify the dynamics of attention around vaccination and masking from 2020 to present. We measure the associations between public attention and pandemic outcomes like vaccination rates, hospitalizations and deaths, while controlling for demographic variables.
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Date
2022-01-01
Student Status
Graduate
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Type of presentation
virtual-oral-presentation
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UVM Student Research Conference
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URI
https://hdl.handle.net/20.500.14849/8355
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Advisor(s)
Chris Danforth
Peter Dodds
Department
Program/Major
Complex Systems
College/School
College of Engineering and Mathematical Sciences
College of Arts and Sciences
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Social Sciences
Engineering & Physical Sciences
Health Sciences
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