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World leaders' usage of twitter in response to the COVID-19 pandemic: A content analysis
Open accessAbstract
BACKGROUND: It is crucial that world leaders mount effective public health measures in response to COVID-19. Twitter may represent a powerful tool to help achieve this. Here, we explore the role of Twitter as used by Group of Seven (G7) world leaders in response to COVID-19. METHODS: This was a qualitative study with content analysis. Inclusion criteria were as follows: viral tweets from G7 world leaders, attracting a minimum of 500 'likes'; keywords 'COVID-19' or 'coronavirus'; search dates 17 November 2019 to 17 March 2020. We performed content analysis to categorize tweets into appropriate themes and analyzed associated Twitter data. RESULTS: Eight out of nine (88.9%) G7 world leaders had verified and active Twitter accounts, with a total following of 85.7 million users. Out of a total 203 viral tweets, 166 (82.8%) were classified as 'Informative', of which 48 (28.6%) had weblinks to government-based sources, while 19 (9.4%) were 'Morale-boosting' and 14 (6.9%) were 'Political'. Numbers of followers and viral tweets were not strictly related. CONCLUSIONS: Twitter may represent a powerful tool for world leaders to rapidly communicate public health information with citizens. We would urge general caution when using Twitter for health information, with a preference for tweets containing official government-based information sources.
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Twitter Sentiment Analysis Using K-means and Hierarchical Clustering on COVID Pandemic
Kaushik, N., & Bhatia, M. K. (2021) · Advances in intelligent systems and computing · doi:10.1007/978-981-16-2594-7_61 · Cited by 12
The role of science in a crisis: Talks by political leaders during the COVID-19 pandemic
Loner, E., Fattorini, E., & Bucchi, M. (2023) · PLoS ONE · doi:10.1371/journal.pone.0282529 · Cited by 11
Metadata
- Authors
- Rufai, S. R., & Bunce, C.
- Affiliations
- University of Leicester (GB)
- King's College London (GB)
- Corresponding author
- Rufai, Sohaib R
- Venue
- Journal of Public Health
- Publisher
- Oxford University Press (OUP)
- Published
- 2020-04-20
- Volume
- 42
- Issue
- 3
- Pages
- 510-516
- ISSN
- 0943-1853 (ISSN-L)
- 1741-3842
- 1741-3850
- PMC
- PMC7188178
- OpenAlex
- W3016994297
- Cited by
- 308
- References
- 20
- Citations by year
- 2026: 7 · 2025: 16 · 2024: 30 · 2023: 52 · 2022: 76 · 2021: 96 · 2020: 31
- FWCI
- 76.49
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
- Locations
- Journal of Public Health (publishedVersion, public-domain)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute for Health Research
- Guy's and St Thomas' NHS Foundation Trust
- King’s College London
- Department of Health and Social Care
- Topics
- Social Sciences › Communication › Communication and COVID-19 Impact
- Social Sciences › Health › Social Media in Health Education
- Social Sciences › Communication › Public Relations and Crisis Communication
- Keywords
- Twitter, COVID-19 pandemic, social media communication, public health communication, political communication
- MeSH terms
- Betacoronavirus, COVID-19, SARS-CoV-2, Adult, Communication, Female, Humans, Male, Middle Aged, Pneumonia, Viral, Public Health, Global Health, Practice Guidelines as Topic, Coronavirus Infections, Information Dissemination, Qualitative Research, Pandemics, Social Media
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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