Review of the Application of Social Media Data in Disaster Research

被引：1
|
作者：
Tang, Jiting [1 ,2 ,3 ]
Yang, Saini [1 ,2 ,3 ]
Wang, Weiping [4 ,5 ,6 ]
机构：
[1] Beijing Normal Univ, Key Lab Environm Change & Nat Disaster, Minist Educ, Beijing, Peoples R China
[2] Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing, Peoples R China
[3] Beijing Normal Univ, Acad Disaster Reduct & Emergency Management, Fac Geog Sci, Beijing, Peoples R China
[4] Beijing Jiaotong Univ, Inst Transportat Syst Sci & Engn, Beijing, Peoples R China
[5] Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing, Peoples R China
[6] Beijing Jiaotong Univ, Key Lab Transport Ind Big Data Applicat Technol C, Minist Transport, Beijing, Peoples R China
来源：
MODERN MANAGEMENT BASED ON BIG DATA I (MMBD 2020) | 2020年 / 329卷
基金：
中国博士后科学基金; 中国国家自然科学基金;
关键词：
Social media; disaster research; data mining; SWOT ANALYSIS; EARTHQUAKE;
D O I：
10.3233/FAIA200642
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Social media data (SMD) is a new data source in disaster research, which can be used in hazard identification, disaster analysis, risk assessment and emergency rescue. This data-driven disaster research needs to find an appropriate method considering the aspect of data sensitivity. So far, the research in this area is focused on the types of hazard, but rarely considers the relationship between the technical methods and applicable tasks. By emphasizing data and method dependencies, we have attempted to summarize the characteristics of SMD in disaster research, viz., "sociality, rapidity, subjectivity, and un-authenticity", and explore the processing methods in the applications of disaster management. Our work provides ideas and reference to the researchers working in this area from the perspectives of data and research goals.
引用
收藏
页码：74 / 82
页数：9
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