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Public Sentiments towards the COVID-19 Pandemic: Insights from the Academic Literature Review and Twitter Analytics

Jain, G; Wamba, SF; Shrivastava, A

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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

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