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Social media mining under the COVID-19 context: Progress, challenges, and opportunities
International Journal of Applied Earth Observation and Geoinformation ( IF 7.5 ) Pub Date : 2022-08-19 , DOI: 10.1016/j.jag.2022.102967
Xiao Huang 1 , Siqin Wang 2 , Mengxi Zhang 3 , Tao Hu 4 , Alexander Hohl 5 , Bing She 6 , Xi Gong 7 , Jianxin Li 8 , Xiao Liu 8 , Oliver Gruebner 9 , Regina Liu 10 , Xiao Li 11 , Zhewei Liu 12 , Xinyue Ye 13 , Zhenlong Li 14
Affiliation  

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.



中文翻译:

COVID-19 背景下的社交媒体挖掘:进展、挑战和机遇

社交媒体平台允许世界各地的用户创建和共享信息,形成巨大的传感网络,从而可以快速收集、存储、挖掘和分析某些主题的信息。在 COVID-19 大流行期间,人们进行了广泛的社交媒体挖掘工作,从不同角度应对 COVID-19 挑战。本综述总结了 COVID-19 背景下社交媒体数据挖掘研究的进展,并将其分为六个主要领域,包括早期预警和检测、人员流动性监测、沟通和信息传达、公众态度和情绪、信息流行病和错误信息以及仇恨和暴力。我们进一步记录了公开的 COVID-19 相关社交媒体数据档案的基本特征,这些特征将有利于研究界开展可复制和可重复的研究。此外,我们讨论了社交媒体分析中的七项挑战及其对衍生的 COVID-19 调查结果的潜在影响,然后是我们对基于社交媒体的 COVID-19 调查的可能前进路径的愿景。这篇综述作为有价值的参考,回顾了 COVID-19 相关研究中的社交媒体挖掘工作,并提供了未来的方向,即利用社交媒体的信息可用于解决突发公共卫生事件。

更新日期:2022-08-20
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