ArticleFrontiers in public health2021
The Response of Governments and Public Health Agencies to COVID-19 Pandemics on Social Media: A Multi-Country Analysis of Twitter Discourse.
Article in Frontiers in public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- When Infodemic Meets Epidemic: Systematic Literature Review.JMIR public health and surveillance · 2025Pooled it
- Exploring How Rheumatic Fever Is Portrayed on TikTok: A Descriptive Content Analysis.International journal of environmental research and public health · 2025Article
- Balancing Risks and Opportunities: Data-Empowered-Health Ecosystems.Journal of medical Internet research · 2025Article
- US State Public Health Agencies' Use of Twitter From 2012 to 2022: Observational Study.Journal of medical Internet research · 2025Observational
- BERTopic_Teen: a multi-module optimization approach for short text topic modeling in adolescent health.Frontiers in public health · 2025Article
- Resilience during lockdown: a longitudinal study investigating changes in behaviour and attitudes among older females during COVID-19 lockdown in the UK.BMC public health · 2024Article
- Assessing the Quality and Reliability of Videos Related to Fibromyalgia on TikTok: A Comprehensive Analysis.Cureus · 2024Article
- Mapping automatic social media information disorder. The role of bots and AI in spreading misleading information in society.PloS one · 2024Article
- Enhancing public health response: a framework for topics and sentiment analysis of COVID-19 in the UK using Twitter and the embedded topic model.Frontiers in public health · 2024Article
- Positive and negative emotions during the COVID-19 pandemic: A longitudinal survey study of the UK population.PloS one · 2024Article
- Analyzing User Reviews of the First Digital Contraceptive: Mixed Methods Study.Journal of medical Internet research · 2023Article
- A natural language processing approach for analyzing COVID-19 vaccination response in multi-language and geo-localized tweets.Healthcare analytics (New York, N.Y.) · 2023Article
- Perceptions and Experiences of Undergraduate Students Regarding Social Media as a Tool for Government COVID-19-Related Messages: A Qualitative Study in Nottingham, UK.International journal of environmental research and public health · 2023Article
- Exploring communication by public health leaders and organizations during the pandemic: a content analysis of COVID-related tweets.Canadian journal of public health = Revue canadienne de sante publique · 2023Article
- Sentiment Impact of Public Health Agency communication Strategies on TikTok under COVID-19 Normalization: Deep Learning Exploration.Zeitschrift fur Gesundheitswissenschaften = Journal of public health · 2023Article
- Public Engagement with Romanian Government Social Media Accounts during the COVID-19 Pandemic.International journal of environmental research and public health · 2023Article
- The role of civil society organizations (CSOs) in the COVID-19 response across the Global South: A multinational, qualitative study.PLOS global public health · 2023Article
- An easy numeric data augmentation method for early-stage COVID-19 tweets exploration of participatory dynamics of public attention and news coverage.Information processing & management · 2022Article
- Social media use, and fear of COVID-19 among Ghanaian university students: the moderating role of gender.BMC psychology · 2022Article
- Exploring time evolution characteristics of the collaborative mode in emergency information release of public health emergencies: A network analysis of response to COVID-19 from the central government of China.Frontiers in public health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
During the COVID-19 pandemic, information is being rapidly shared by public health experts and researchers through social media platforms. Whilst government policies were disseminated and discussed, fake news and misinformation simultaneously created a corresponding wave of "infodemics." This study analyzed the discourse on Twitter in several languages, investigating the reactions to government and public health agency social media accounts that share policy decisions and official messages. The study collected messages from 21 official Twitter accounts of governments and public health authorities in the UK, US, Mexico, Canada, Brazil, Spain, and Nigeria, from 15 March to 29 May 2020. Over 2 million tweets in various languages were analyzed using a mixed-methods approach to understand the messages both quantitatively and qualitatively. Using automatic, text-based clustering, five topics were identified for each account and then categorized into 10 emerging themes. Identified themes include political, socio-economic, and population-protection issues, encompassing global, national, and individual levels. A comparison was performed amongst the seven countries analyzed and the United Kingdom (Scotland, Northern Ireland, and England) to find similarities and differences between countries and government agencies. Despite the difference in language, country of origin, epidemiological contexts within the countries, significant similarities emerged. Our results suggest that other than general announcement and reportage messages, the most-discussed topic is evidence-based leadership and policymaking, followed by how to manage socio-economic consequences.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.