Evidence map›Paper›PMID 37113803›Full record

ArticleJMIR infodemiology

The Evolution of Public Sentiments During the COVID-19 Pandemic: Case Comparisons of India, Singapore, South Korea, the United Kingdom, and the United States.

May O Lwin, Anita Sheldenkar, Jiahui Lu, Peter Johannes Schulz, Wonsun Shin, Chitra Panchapakesan, Raj Kumar Gupta, Yinping Yang

Abstract read
In one paragraph

Article in JMIR infodemiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Social media engagement in the maritime industry during the pandemic.Technological forecasting and social change · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

May O LwinWee Kim Wee School of Communication and Information Nanyang Technological University Singapore Singapore.ORCID https://orcid.org/0000-0003-1832-8242
Anita SheldenkarWee Kim Wee School of Communication and Information Nanyang Technological University Singapore Singapore.ORCID https://orcid.org/0000-0002-5402-9269
Jiahui LuSchool of New Media and Communication Tianjin University Tianjin China.ORCID https://orcid.org/0000-0003-2984-7435
Peter Johannes SchulzInstitute of Communication and Health University of Lugano Lugano Switzerland.ORCID https://orcid.org/0000-0003-4281-489X
Wonsun ShinSchool of Culture and Communication University of Melbourne Melbourne Australia.ORCID https://orcid.org/0000-0002-1636-8171
Chitra PanchapakesanWee Kim Wee School of Communication and Information Nanyang Technological University Singapore Singapore.ORCID https://orcid.org/0000-0003-3493-8390
Raj Kumar GuptaInstitute of High Performance Computing Agency for Science, Technology and Research Singapore Singapore.ORCID https://orcid.org/0000-0002-9580-8429
Yinping YangInstitute of High Performance Computing Agency for Science, Technology and Research Singapore Singapore.ORCID https://orcid.org/0000-0001-9885-1791

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Public sentiments are an important indicator of crisis response, with the need to balance exigency without adding to panic or projecting overconfidence. Given the rapid spread of the COVID-19 pandemic, governments have enacted various nationwide measures against the disease with social media platforms providing the previously unparalleled communication space for the global populations. Objective: This research aims to examine and provide a macro-level narrative of the evolution of public sentiments on social media at national levels, by comparing Twitter data from India, Singapore, South Korea, the United Kingdom, and the United States during the current pandemic. Methods: A total of 67,363,091 Twitter posts on COVID-19 from January 28, 2020, to April 28, 2021, were analyzed from the 5 countries with "wuhan," "corona," "nCov," and "covid" as search keywords. Change in sentiments ("very negative," "negative," "neutral or mixed," "positive," "very positive") were compared between countries in connection with disease milestones and public health directives. Results: Country-specific assessments show that negative sentiments were predominant across all 5 countries during the initial period of the global pandemic. However, positive sentiments encompassing hope, resilience, and support arose at differing intensities across the 5 countries, particularly in Asian countries. In the next stage of the pandemic, India, Singapore, and South Korea faced escalating waves of COVID-19 cases, resulting in negative sentiments, but positive sentiments appeared simultaneously. In contrast, although negative sentiments in the United Kingdom and the United States increased substantially after the declaration of a national public emergency, strong parallel positive sentiments were slow to surface. Conclusions: Our findings on sentiments across countries facing similar outbreak concerns suggest potential associations between government response actions both in terms of policy and communications, and public sentiment trends. Overall, a more concerted approach to government crisis communication appears to be associated with more stable and less volatile public sentiments over the evolution of the COVID-19 pandemic.

Indexed as

communicationcommunity healthCOVID-19crisis communicationcross-country comparisondigital literacyemotionhealth informationhealth literacyinformation literacyperceptionpublic healthpublic sentimentsentimentsocial mediaTwitter

Identifiers

PMID37113803
PMCPMC9987195

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.