Use of Social Media Data in Disaster Management: A Survey

Social media has played a significant role in disaster management, as it enables the general public to contribute to the monitoring of disasters by reporting incidents related to disaster events. However, the vast volume and wide variety of generated social media data create an obstacle in disaster management by limiting the availability of actionable information from social media. Several approaches have therefore been proposed in the literature to cope with the challenges of social media data for disaster management. To the best of our knowledge, there is no published literature on social media data management and analysis that identifies the research problems and provides a research taxonomy for the classification of the common research issues. In this paper, we provide a survey of how social media data contribute to disaster management and the methodologies for social media data management and analysis in disaster management. This survey includes the methodologies for social media data classification and event detection as well as spatial and temporal information extraction. Furthermore, a taxonomy of the research dimensions of social media data management and analysis for disaster management is also proposed, which is then applied to a survey of existing literature and to discuss the core advantages and disadvantages of the various methodologies.

[1]  David S. Ebert,et al.  Spatiotemporal social media analytics for abnormal event detection and examination using seasonal-trend decomposition , 2012, 2012 IEEE Conference on Visual Analytics Science and Technology (VAST).

[2]  Boyce Sigweni,et al.  A survey of social media use in emergency situations: A literature review , 2020 .

[3]  S. L. Kuriakose,et al.  History of landslide susceptibility and a chorology of landslide-prone areas in the Western Ghats of Kerala, India , 2009 .

[4]  Fernando Diaz,et al.  CrisisLex: A Lexicon for Collecting and Filtering Microblogged Communications in Crises , 2014, ICWSM.

[5]  Philipp Cimiano,et al.  Event-based classification of social media streams , 2012, ICMR.

[6]  Ming-Hsiang Tsou,et al.  Spatial, temporal, and content analysis of Twitter for wildfire hazards , 2016, Natural Hazards.

[7]  Rekha Jain,et al.  Wireless Sensor Network -A Survey , 2013 .

[8]  Pekka Pääkkönen,et al.  Evaluating the Quality of Social Media Data in Big Data Architecture , 2015, IEEE Access.

[9]  Yoonsang Kim,et al.  Garbage in, Garbage Out: Data Collection, Quality Assessment and Reporting Standards for Social Media Data Use in Health Research, Infodemiology and Digital Disease Detection , 2016, Journal of medical Internet research.

[10]  Kamran Munir,et al.  The use of ontologies for effective knowledge modelling and information retrieval , 2018, Applied Computing and Informatics.

[11]  Shaowen Wang A CyberGIS Framework for the Synthesis of Cyberinfrastructure, GIS, and Spatial Analysis , 2010 .

[12]  Hadi Larijani,et al.  A Survey on the Role of Wireless Sensor Networks and IoT in Disaster Management , 2018, Springer Natural Hazards.

[13]  Charu C. Aggarwal,et al.  Using humans as sensors: An estimation-theoretic perspective , 2014, IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks.

[14]  Raphaël Troncy,et al.  Analysis of named entity recognition and linking for tweets , 2014, Inf. Process. Manag..

[15]  Yusheng Ji,et al.  Intelligent Disaster Response via Social Media Analysis A Survey , 2017, SKDD.

[16]  Alexander Zipf,et al.  A geographic approach for combining social media and authoritative data towards identifying useful information for disaster management , 2015, Int. J. Geogr. Inf. Sci..

[17]  Flora Amato,et al.  Diffusion Algorithms in Multimedia Social Networks: a preliminary model , 2017, 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

[18]  Sukomal Pal,et al.  Use of social media in crisis management: A survey , 2020 .

[19]  Vassilis Kostakos,et al.  CrisisTracker: Crowdsourced social media curation for disaster awareness , 2013, IBM J. Res. Dev..

[20]  Qunying Huang,et al.  Geographic Situational Awareness: Mining Tweets for Disaster Preparedness, Emergency Response, Impact, and Recovery , 2015, ISPRS Int. J. Geo Inf..

[21]  Shaowen Wang,et al.  CyberGIS software: a synthetic review and integration roadmap , 2013, Int. J. Geogr. Inf. Sci..

[22]  Carlos Granell,et al.  Beyond data collection: Objectives and methods of research using VGI and geo-social media for disaster management , 2016, Comput. Environ. Urban Syst..

[23]  Krishnaprasad Thirunarayan,et al.  D-record: Disaster Response and Relief Coordination Pipeline , 2018, ARIC@SIGSPATIAL.

[24]  Shady Elbassuoni,et al.  Practical extraction of disaster-relevant information from social media , 2013, WWW.

[25]  Edson C. Tandoc,et al.  Communicating on Twitter during a disaster: An analysis of tweets during Typhoon Haiyan in the Philippines , 2015, Comput. Hum. Behav..

[26]  J. Lee,et al.  Using Social Media for Emergency Response and Urban Sustainability: A Case Study of the 2012 Beijing Rainstorm , 2015 .

[27]  M. Goodchild,et al.  Spatial, temporal, and socioeconomic patterns in the use of Twitter and Flickr , 2013 .

[28]  Anthony Stefanidis,et al.  #Earthquake: Twitter as a Distributed Sensor System , 2013, Trans. GIS.

[29]  Flora Amato,et al.  Multimedia Social Network Modeling: A Proposal , 2016, 2016 IEEE Tenth International Conference on Semantic Computing (ICSC).

[30]  Vijayan Sugumaran,et al.  Participatory sensing-based semantic and spatial analysis of urban emergency events using mobile social media , 2016, EURASIP J. Wirel. Commun. Netw..

[31]  Xinyue Ye,et al.  Social media analytics for natural disaster management , 2018, Int. J. Geogr. Inf. Sci..

[32]  Hongzhou Shen Discussion and Analysis of the Crowdsourcing Mode of Public Participation in Emergency Management , 2015, 2015 8th International Symposium on Computational Intelligence and Design (ISCID).

[33]  Kyumin Lee,et al.  You are where you tweet: a content-based approach to geo-locating twitter users , 2010, CIKM.

[34]  Radu DOBRESCU,et al.  A HIERARCHICAL MODEL FOR EMERGENCY MANAGEMENT SYSTEMS , 2011 .

[35]  Xiangyang Guan,et al.  Using social media data to understand and assess disasters , 2014, Natural Hazards.

[36]  Erich Weichselgartner,et al.  Data for Everyone , 2010 .

[37]  Hila Becker,et al.  Learning similarity metrics for event identification in social media , 2010, WSDM '10.

[38]  Timos K. Sellis,et al.  Twitter analytics: a big data management perspective , 2014, SKDD.

[39]  Muhammad Ali Ramdhani,et al.  Social Media-Based Identifier for Natural Disaster , 2018 .

[40]  Valentin Tablan,et al.  Information Extraction and Semantic Annotation for Multi-Paradigm Information Management , 2011, Current Challenges in Patent Information Retrieval.

[41]  F. Freitas,et al.  Título da página electrónica: EM-DAT, The International Disaster Database , 2011 .

[42]  Kalina Bontcheva,et al.  Getting More Out of Biomedical Documents with GATE's Full Lifecycle Open Source Text Analytics , 2013, PLoS Comput. Biol..

[43]  Rui Wang,et al.  Towards social user profiling: unified and discriminative influence model for inferring home locations , 2012, KDD.

[44]  Anja Bechmann,et al.  Using APIs for Data Collection on Social Media , 2014, Inf. Soc..

[45]  Milton Halem,et al.  Human Sensor Networks for Improved Modeling of Natural Disasters , 2012, Proceedings of the IEEE.

[46]  Dave Yates,et al.  Emergency knowledge management and social media technologies: A case study of the 2010 Haitian earthquake , 2011, Int. J. Inf. Manag..

[47]  Yixiang Chen,et al.  A trajectory clustering approach based on decision graph and data field for detecting hotspots , 2017, Int. J. Geogr. Inf. Sci..

[48]  Jie Yin,et al.  Using Social Media to Enhance Emergency Situation Awareness , 2012, IEEE Intelligent Systems.

[49]  Stuart E. Middleton,et al.  Real-Time Crisis Mapping of Natural Disasters Using Social Media , 2014, IEEE Intelligent Systems.

[50]  Yutaka Matsuo,et al.  Tweet Analysis for Real-Time Event Detection and Earthquake Reporting System Development , 2013, IEEE Transactions on Knowledge and Data Engineering.

[51]  David S. Ebert,et al.  Public behavior response analysis in disaster events utilizing visual analytics of microblog data , 2014, Comput. Graph..

[52]  X. Ginesta,et al.  Social-Media Analysis for Disaster Prevention: Forest Fire in Artenara and Valleseco, Canary Islands , 2020, Journal of Open Innovation: Technology, Market, and Complexity.

[53]  Cyrus Shahabi,et al.  On Identifying Disaster-Related Tweets: Matching-Based or Learning-Based? , 2017, 2017 IEEE Third International Conference on Multimedia Big Data (BigMM).

[54]  Dave Yates,et al.  Emergency knowledge management and social media technologies: A case study of the 2010 Haitian earthquake , 2010, ASIST.

[55]  Kalina Bontcheva,et al.  A framework for real-time semantic social media analysis , 2017, J. Web Semant..

[56]  J. Fowler,et al.  Rapid assessment of disaster damage using social media activity , 2016, Science Advances.

[57]  Niloy Ganguly,et al.  Extracting and Summarizing Situational Information from the Twitter Social Media during Disasters , 2018, ACM Trans. Web.

[58]  Flora Amato,et al.  Extreme events management using multimedia social networks , 2019, Future Gener. Comput. Syst..

[59]  Basit Shafiq,et al.  Spatial Computing and Social Media in the Context of Disaster Management , 2012, IEEE Intelligent Systems.

[60]  Kalina Bontcheva,et al.  Mímir: An open-source semantic search framework for interactive information seeking and discovery , 2015, J. Web Semant..