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Social media mining under the COVID-19 context: Progress, challenges, and opportunities
journal contribution
posted on 2022-10-06, 00:32 authored by X Huang, S Wang, M Zhang, T Hu, A Hohl, B She, X Gong, Jianxin LiJianxin Li, Xiao LiuXiao Liu, O Gruebner, R Liu, X Li, Z Liu, X Ye, Z LiSocial 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.
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International Journal of Applied Earth Observation and GeoinformationVolume
113Publisher DOI
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1569-8432eISSN
1872-826XUsage metrics
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