Geetika Jain g.jain@keele.ac.uk
Public Sentiments towards the COVID-19 Pandemic: Insights from the Academic Literature Review and Twitter Analytics
Jain, G; Wamba, SF; Shrivastava, A
Authors
SF Wamba
A Shrivastava
Abstract
The recent COVID-19 pandemic has severely impacted nations across the globe. Not only has it created economic shocks, but also long-term impacts on the social and psychological behaviors of the public. This can be attributed to the severity of the pandemic and because of the preventive and control measures such as global lockdowns, social distancing, and selfisolation that the governments imposed. Previous studies have reported significant changes in human emotions and behaviors are used to measure public sentiments about certain phenomena (such as the recent pandemic). The present study aims to study the public's sentiments during the COVID-19 outbreak based on an analytics review of public tweets highlighting changes in emotions. A dataset of 58,320 tweets extracted from Twitter and 61 academic articles was explored to analyze behavioral and emotional changes during previous and current pandemic situations. We chose the RPA – COV (Research Process Approach – COVID-19) approach, which was combined with the LBTA (Literature-Based Thematic Analysis) and the COVTA (COVID-19 Twitter Analytics). The sentiments' analysis results were coupled with word-tree analysis and highlighted that the public showed more highly neutral, positive, and mixed emotions than negative ones. The analysis pointed that people may react differently on Twitter as compared to real-life circumstances. The present study makes a significant contribution towards understanding how the public express their sentiments in pandemic situations.
Citation
Jain, G., Wamba, S., & Shrivastava, A. (in press). Public Sentiments towards the COVID-19 Pandemic: Insights from the Academic Literature Review and Twitter Analytics. International Journal of Stress Management, https://doi.org/10.1037/str0000254
Journal Article Type | Article |
---|---|
Acceptance Date | Mar 25, 2022 |
Online Publication Date | Oct 12, 2023 |
Publicly Available Date | Mar 28, 2022 |
Journal | International Journal of Stress Management |
Print ISSN | 1072-5245 |
Electronic ISSN | 1573-3424 |
Publisher | American Psychological Association |
Peer Reviewed | Peer Reviewed |
DOI | https://doi.org/10.1037/str0000254 |
Keywords | Sentiment analysis; pandemic; COVID-19; Twitter analytics; Thematic analysis |
Public URL | https://keele-repository.worktribe.com/output/422776 |
Publisher URL | https://psycnet.apa.org/record/2024-16487-001 |
Files
Paper - COVID 160222.pdf
(1 Mb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by-nc/4.0/
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