Next Article in Journal
An Accelerating Approach for Blockchain Information Transmission Based on NDN
Next Article in Special Issue
IoT for Smart Cities: Machine Learning Approaches in Smart Healthcare—A Review
Previous Article in Journal
Dashboard COMPRIME_COMPRI_MOv: Multiscalar Spatio-Temporal Monitoring of the COVID-19 Pandemic in Portugal
Previous Article in Special Issue
Citizen Science on Twitter: Using Data Analytics to Understand Conversations and Networks
Article

Use of Social Media Data in Disaster Management: A Survey

1
School of Computing, Newcastle University, Newcastle upon Tyne NE4 5TG, UK
2
Center for Wireless Networks & Applications (WNA), Amrita Vishwa Vidyapeetham, Amritapuri 690525, India
3
School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
*
Author to whom correspondence should be addressed.
Current address: School of Computing, 1, Urban Sciences Building, Science Square, Newcastle Upon Tyne NE4 5TG, UK.
Academic Editor: Eirini Eleni Tsiropoulou
Future Internet 2021, 13(2), 46; https://doi.org/10.3390/fi13020046
Received: 17 December 2020 / Revised: 29 January 2021 / Accepted: 9 February 2021 / Published: 12 February 2021
(This article belongs to the Special Issue AI and IoT technologies in Smart Cities)
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. View Full-Text
Keywords: social media; social media data; disaster management; survey social media; social media data; disaster management; survey
Show Figures

Figure 1

MDPI and ACS Style

Phengsuwan, J.; Shah, T.; Thekkummal, N.B.; Wen, Z.; Sun, R.; Pullarkatt, D.; Thirugnanam, H.; Ramesh, M.V.; Morgan, G.; James, P.; Ranjan, R. Use of Social Media Data in Disaster Management: A Survey. Future Internet 2021, 13, 46. https://doi.org/10.3390/fi13020046

AMA Style

Phengsuwan J, Shah T, Thekkummal NB, Wen Z, Sun R, Pullarkatt D, Thirugnanam H, Ramesh MV, Morgan G, James P, Ranjan R. Use of Social Media Data in Disaster Management: A Survey. Future Internet. 2021; 13(2):46. https://doi.org/10.3390/fi13020046

Chicago/Turabian Style

Phengsuwan, Jedsada, Tejal Shah, Nipun B. Thekkummal, Zhenyu Wen, Rui Sun, Divya Pullarkatt, Hemalatha Thirugnanam, Maneesha V. Ramesh, Graham Morgan, Philip James, and Rajiv Ranjan. 2021. "Use of Social Media Data in Disaster Management: A Survey" Future Internet 13, no. 2: 46. https://doi.org/10.3390/fi13020046

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop