ArticleScientometrics2021
COVID-19 in the Twitterverse, from epidemic to pandemic: information-sharing behavior and Twitter as an information carrier.
Article in Scientometrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Psychological reactance to vaccine mandates on Twitter: a study of sentiments in the United States.Journal of public health policy · 2025Article
- Pediatric Cancer Communication on Twitter: Natural Language Processing and Qualitative Content Analysis.JMIR cancer · 2024Article
- The assessment of Twitter discourse on the new COVID-19 variant, XBB.1.5, through social network analysis.Vaccine: X · 2023Article
- Global COVID-19 Policy Engagement With Scientific Research Information: Altmetric Data Study.Journal of medical Internet research · 2023Article
- Discourse about higher education on Twitter in early phases of COVID-19: A crisis management social network analysis.Education and information technologies · 2023Article
- Census of Twitter users: Scraping and describing the national network of South Korea.PloS one · 2022Article
- Article
- Delving into Data Science Methods in Response to the COVID-19 Infodemic.Proceedings of the Association for Information Science and Technology. Association for Information Science and Technology · 2022Article
- What's Trending on Twitter Regarding the Most Recently Approved Oral Agent for HIV Pre-Exposure Prophylaxis (PrEP)?Innovations in pharmacy · 2022Article
- Development of a COVID-19 Web Information Transmission Structure Based on a Quadruple Helix Model: Webometric Network Approach Using Bing.Journal of medical Internet research · 2021Article
- Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, we defined a Twitter network as an information channel that includes information sources containing embedded messages. We conducted stage-based comparative analyses of Twitter networks during three periods: the beginning of the COVID-19 epidemic, the period when the epidemic was becoming a global phenomenon, and the beginning of the pandemic. We also analyzed the characteristics of scientific information sources and content on Twitter during the sample period. At the beginning of the epidemic, Twitter users largely shared trustworthy news information sources about the novel coronavirus. Widely shared scientific information focused on clinical investigations and case studies of the new coronavirus as the disease became a pandemic while non-scientific information sources and messages illustrated the social and political aspects of the global outbreak, often including emotional elements. Multiple suspicious, bot-like Twitter accounts were identified as a great connector of the COVID-19 Twitterverse, particularly in the beginning of the global crisis. Our findings suggest that the information carriers, which are information channels, sources, and messages were coherently interlocked, forming an information organism. The study results can help public health organizations design communication strategies, which often require prompt decision-making to manage urgent needs under the circumstances of an epidemic.
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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.