Ibrahim Sabuncu
Pandemic management with social media analytics
Sabuncu, Ibrahim; Aydin, Mehmet Emin
Abstract
Social media analytics appears as one of recently developing disciplines that helps understand public perception, reaction, and emerging developments. Particularly, pandemics are one of overwhelming phenomena that push public concerns and necessitate serious management. It turned to be a useful tool to understand the thoughts, concerns, needs, expectations of public and individuals, and supports public authorities to take measures for handling pandemics. It can also be used to predict the spread of the virus, spread parameters, and to estimate the number of cases in the future. In this chapter, recent literature on use of social media analytics in pandemic management is overviewed covering all relevant studies on various aspects of pandemic management. It also introduces social media data sources, software, and tools used in the studies, methodologies, and AI techniques including how the results of the analysis are used in pandemic management. Consequently, the chapter drives conclusions out of findings and results of relevant analysis.
Citation
Sabuncu, I., & Aydin, M. E. (2021). Pandemic management with social media analytics. In Data Science Advancements in Pandemic and Outbreak Management (78-107). IGI Global. https://doi.org/10.4018/978-1-7998-6736-4.ch005
Publication Date | 2021 |
---|---|
Deposit Date | Aug 17, 2021 |
Pages | 78-107 |
Book Title | Data Science Advancements in Pandemic and Outbreak Management |
ISBN | 9781799867364 |
DOI | https://doi.org/10.4018/978-1-7998-6736-4.ch005 |
Public URL | https://uwe-repository.worktribe.com/output/7637093 |
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