Social media mining under the COVID-19 context: Progress, challenges, and opportunities.
Int J Appl Earth Obs Geoinf
; 113: 102967, 2022 Sep.
Article
in English
| MEDLINE | ID: covidwho-1996306
ABSTRACT
Social media platforms allow users worldwide to create and share information, forging vast sensing networks that allow information on certain topics to be collected, stored, mined, and analyzed in a rapid manner. During the COVID-19 pandemic, extensive social media mining efforts have been undertaken to tackle COVID-19 challenges from various perspectives. This review summarizes the progress of social media data mining studies in the COVID-19 contexts and categorizes them into six major domains, including early warning and detection, human mobility monitoring, communication and information conveying, public attitudes and emotions, infodemic and misinformation, and hatred and violence. We further document essential features of publicly available COVID-19 related social media data archives that will benefit research communities in conducting replicable and reproducible studies. In addition, we discuss seven challenges in social media analytics associated with their potential impacts on derived COVID-19 findings, followed by our visions for the possible paths forward in regard to social media-based COVID-19 investigations. This review serves as a valuable reference that recaps social media mining efforts in COVID-19 related studies and provides future directions along which the information harnessed from social media can be used to address public health emergencies.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Type of study:
Reviews
Language:
English
Journal:
Int J Appl Earth Obs Geoinf
Year:
2022
Document Type:
Article
Affiliation country:
J.jag.2022.102967
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