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

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spelling	sg-nus-scholar.10635-2439802023-10-30T23:11:05Z Determining containment policy impacts on public sentiment during the pandemic using social media data Sukhwal, PC Kankanhalli, A DEAN'S OFFICE (SCHOOL OF COMPUTING) INSTITUTE OF SYSTEMS SCIENCE COVID-19 causal analysis containment policies public sentiment social media data Attitude COVID-19 Emotions Health Policy Humans Pandemics Public Opinion SARS-CoV-2 Social Media 10.1073/pnas.2117292119 Proceedings of the National Academy of Sciences of the United States of America 119 19 e2117292119- 2023-08-07T00:45:49Z 2023-08-07T00:45:49Z 2022-05-10 2023-08-05T05:34:08Z Article Sukhwal, PC, Kankanhalli, A (2022-05-10). Determining containment policy impacts on public sentiment during the pandemic using social media data. Proceedings of the National Academy of Sciences of the United States of America 119 (19) : e2117292119-. ScholarBank@NUS Repository. https://doi.org/10.1073/pnas.2117292119 0027-8424 1091-6490 https://scholarbank.nus.edu.sg/handle/10635/243980 Proceedings of the National Academy of Sciences Elements
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	COVID-19 causal analysis containment policies public sentiment social media data Attitude COVID-19 Emotions Health Policy Humans Pandemics Public Opinion SARS-CoV-2 Social Media
spellingShingle	COVID-19 causal analysis containment policies public sentiment social media data Attitude COVID-19 Emotions Health Policy Humans Pandemics Public Opinion SARS-CoV-2 Social Media Sukhwal, PC Kankanhalli, A Determining containment policy impacts on public sentiment during the pandemic using social media data
description	10.1073/pnas.2117292119
author2	DEAN'S OFFICE (SCHOOL OF COMPUTING)
author_facet	DEAN'S OFFICE (SCHOOL OF COMPUTING) Sukhwal, PC Kankanhalli, A
format	Article
author	Sukhwal, PC Kankanhalli, A
author_sort	Sukhwal, PC
title	Determining containment policy impacts on public sentiment during the pandemic using social media data
title_short	Determining containment policy impacts on public sentiment during the pandemic using social media data
title_full	Determining containment policy impacts on public sentiment during the pandemic using social media data
title_fullStr	Determining containment policy impacts on public sentiment during the pandemic using social media data
title_full_unstemmed	Determining containment policy impacts on public sentiment during the pandemic using social media data
title_sort	determining containment policy impacts on public sentiment during the pandemic using social media data
publisher	Proceedings of the National Academy of Sciences
publishDate	2023
url	https://scholarbank.nus.edu.sg/handle/10635/243980
_version_	1781793570658713600

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

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