Please use this identifier to cite or link to this item:
https://ruomo.lib.uom.gr/handle/7000/1738
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 coronavirus COVID-19 Biblioshiny 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. |
URI: | https://doi.org/10.3390/info13080372 https://ruomo.lib.uom.gr/handle/7000/1738 |
ISSN: | 2078-2489 |
Other Identifiers: | 10.3390/info13080372 |
Appears in Collections: | Department of Balkan, Slavic & Oriental Studies |
Files in This Item:
File | Description | Size | Format | |
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information-13-00372-v3.pdf | 3,33 MB | Adobe PDF | View/Open |
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