Analyzing Tweeting Patterns and Public Engagement on Twitter During the Recognition Period of the COVID-19 Pandemic: A Study of Two U.S. States

Analyzing Tweeting Patterns and Public Engagement on Twitter During the Recognition Period of the COVID-19 Pandemic: A Study of Two U.S. States

The abundance of available information on social media can provide invaluable insights into people’s responses to health information and public health guidance concerning COVID-19. This study examines tweeting patterns and public engagement on Twitter, as forms of social media, related to...

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Bibliographic Details
Main Authors: Misbah Ul Hoque, Kisung Lee, Jessica L. Beyer, Sara R. Curran, Katie S. Gonser, Nina S. N. Lam, Volodymyr V. Mihunov, Kejin Wang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
COVID-19
geospatial data analysis
natural language processing
public engagement
public health messaging
sentiment analysis
Online Access:https://ieeexplore.ieee.org/document/9825632/

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