Disaster Hashtags in Social Media
Murzintcev, Nikita1,2,5; Cheng, Changxiu3,4
Corresponding AuthorMurzintcev, Nikita(nikita@lreis.ac.cn)
AbstractSocial media is a rich data source for analyzing the social impact of hazard processes and human behavior in disaster situations; it is used by rescue agencies for coordination and by local governments for the distribution of official information. In this paper, we propose a method for data mining in Twitter to retrieve messages related to an event. We describe an automated process for the collection of hashtags highly related to the event and specific only to it. We compare our method with existing keyword-based methods and prove that hashtags are good markers for the separation of similar, simultaneous incidents; therefore, the retrieved messages have higher relevancy. The method uses disaster databases to find the location of an event and to estimate the impact area. The proposed method can also be adapted to retrieve messages about other types of events with a known location, such as riots, festivals and exhibitions.
Keywordtwitter hashtags information retrieval disasters
Indexed BySCI
Funding ProjectNational Key Research and Development Plan of China[2017YFB0504100] ; National Natural Science Foundation of China[41222009] ; Fundamental Research Funds for the Central Universities
Funding OrganizationNational Key Research and Development Plan of China ; National Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities
WOS Research AreaPhysical Geography ; Remote Sensing
WOS SubjectGeography, Physical ; Remote Sensing
WOS IDWOS:000407506900021
PublisherMDPI AG
Citation statistics
Cited Times:11[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Corresponding AuthorMurzintcev, Nikita
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Grad Univ, Coll Resources & Environm, CAS, Beijing 100049, Peoples R China
3.Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
4.Beijing Normal Univ, Fac Geog Sci, Beijing 100875, Peoples R China
5.11A Datun Rd, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Murzintcev, Nikita,Cheng, Changxiu. Disaster Hashtags in Social Media[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2017,6(7):17.
APA Murzintcev, Nikita,&Cheng, Changxiu.(2017).Disaster Hashtags in Social Media.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,6(7),17.
MLA Murzintcev, Nikita,et al."Disaster Hashtags in Social Media".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 6.7(2017):17.
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