Determining containment policy impacts on public sentiment during the pandemic using social media data

Determining containment policy impacts on public sentiment during the pandemic using social media data

10.1073/pnas.2117292119

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Bibliographic Details
Main Authors: Sukhwal, PC, Kankanhalli, A
Other Authors: DEAN'S OFFICE (SCHOOL OF COMPUTING)
Format: Article
Published: Proceedings of the National Academy of Sciences 2023
Subjects:
COVID-19
causal analysis
containment policies
public sentiment
social media data
Attitude
Emotions
Health Policy
Humans
Pandemics
Public Opinion
SARS-CoV-2
Social Media
Online Access:https://scholarbank.nus.edu.sg/handle/10635/243980
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Institution: National University of Singapore
Description
Summary:10.1073/pnas.2117292119

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