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https://ruomo.lib.uom.gr/handle/7000/1738
Τίτλος: | Visualizing Social Media Research in the Age of COVID-19 |
Συγγραφείς: | Michailidis, Panagiotis |
Τύπος: | Article |
Θέματα: | FRASCATI::Natural sciences::Computer and information sciences |
Λέξεις-Κλειδιά: | bibliometric analysis social media platforms coronavirus COVID-19 Biblioshiny Web of Science text analysis social network analysis |
Ημερομηνία Έκδοσης: | 3-Αυγ-2022 |
Πηγή: | Information |
Τόμος: | 13 |
Τεύχος: | 8 |
Πρώτη Σελίδα: | 372 |
Επιτομή: | 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 |
Αλλοι Προσδιοριστές: | 10.3390/info13080372 |
Εμφανίζεται στις Συλλογές: | Τμήμα Βαλκανικών Σλαβικών & Ανατολικών Σπουδών |
Αρχεία σε αυτό το Τεκμήριο:
Αρχείο | Περιγραφή | Μέγεθος | Μορφότυπος | |
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information-13-00372-v3.pdf | 3,33 MB | Adobe PDF | Προβολή/Ανοιγμα |
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