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Use of Social Media Data in Disaster Management: A Survey

Author

Listed:
  • Jedsada Phengsuwan

    (School of Computing, Newcastle University, Newcastle upon Tyne NE4 5TG, UK
    Current address: School of Computing, 1, Urban Sciences Building, Science Square, Newcastle Upon Tyne NE4 5TG, UK.)

  • Tejal Shah

    (School of Computing, Newcastle University, Newcastle upon Tyne NE4 5TG, UK)

  • Nipun Balan Thekkummal

    (School of Computing, Newcastle University, Newcastle upon Tyne NE4 5TG, UK)

  • Zhenyu Wen

    (School of Computing, Newcastle University, Newcastle upon Tyne NE4 5TG, UK)

  • Rui Sun

    (School of Computing, Newcastle University, Newcastle upon Tyne NE4 5TG, UK)

  • Divya Pullarkatt

    (Center for Wireless Networks & Applications (WNA), Amrita Vishwa Vidyapeetham, Amritapuri 690525, India)

  • Hemalatha Thirugnanam

    (Center for Wireless Networks & Applications (WNA), Amrita Vishwa Vidyapeetham, Amritapuri 690525, India)

  • Maneesha Vinodini Ramesh

    (Center for Wireless Networks & Applications (WNA), Amrita Vishwa Vidyapeetham, Amritapuri 690525, India)

  • Graham Morgan

    (School of Computing, Newcastle University, Newcastle upon Tyne NE4 5TG, UK)

  • Philip James

    (School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK)

  • Rajiv Ranjan

    (School of Computing, Newcastle University, Newcastle upon Tyne NE4 5TG, UK)

Abstract

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.

Suggested Citation

  • Jedsada Phengsuwan & Tejal Shah & Nipun Balan Thekkummal & Zhenyu Wen & Rui Sun & Divya Pullarkatt & Hemalatha Thirugnanam & Maneesha Vinodini Ramesh & Graham Morgan & Philip James & Rajiv Ranjan, 2021. "Use of Social Media Data in Disaster Management: A Survey," Future Internet, MDPI, vol. 13(2), pages 1-24, February.
  • Handle: RePEc:gam:jftint:v:13:y:2021:i:2:p:46-:d:498372
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    References listed on IDEAS

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    1. Xiangyang Guan & Cynthia Chen, 2014. "Using social media data to understand and assess disasters," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 74(2), pages 837-850, November.
    2. Yandong Wang & Teng Wang & Xinyue Ye & Jianqi Zhu & Jay Lee, 2015. "Using Social Media for Emergency Response and Urban Sustainability: A Case Study of the 2012 Beijing Rainstorm," Sustainability, MDPI, vol. 8(1), pages 1-17, December.
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