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Title: Visualizing Social Media Research in the Age of COVID-19
Authors: Michailidis, Panagiotis
Type: Article
Subjects: FRASCATI::Natural sciences::Computer and information sciences
Keywords: bibliometric analysis
social media platforms
Web of Science
text analysis
social network analysis
Issue Date: 3-Aug-2022
Source: Information
Volume: 13
Issue: 8
First Page: 372
Abstract: During the last three years, numerous research papers have been reported which use social media data to explore several issues related to the COVID-19 pandemic. Bibliometric methods in this work are used to analyze 1427 peer-reviewed documents from the last three years extracted from the Web of Science database. The results of this study show that there was high growth in publications in open access journals with an annual rate reaching 19.3% and they also identify the top cited journals and research papers. The thematic analysis of papers shows that research topics related to social media for surveillance and monitoring of public attitudes and perceptions, mental health, misinformation, and fake news are important and well-developed, whereas topics related to distance-learning education with social media are emerging. The results also show that the USA, China, and the UK have published many papers and received a high number of citations because of their strong international collaboration.
ISSN: 2078-2489
Other Identifiers: 10.3390/info13080372
Appears in Collections:Department of Balkan, Slavic & Oriental Studies

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