A Social Media Content Based Location and Situation Analysis Model for Disaster Management

A Social Media Content Based Location and Situation Analysis Model for Disaster Management

Renya N. Nath (Jerusalem College of Engineering, India), N. Priya (Jerusalem College of Engineering, India) and C.R. Rene Robin (Jerusalem College of Engineering, India)
Copyright: © 2019 |Pages: 12
DOI: 10.4018/978-1-5225-6195-8.ch014

Abstract

Social media has evolved as an inseparable entity in everybody's life. People make use of social media like Face book, twitter, etc. to express their feelings. That's the reason organizations make use of social media information to infer the behavior of its users. The recent ChennaiRains2015 followed by Chennai flood show the reachability of social media as most of the people have utilized it to convey their status and requirements. Many people have utilized the same social media to express their willingness for providing help (food, shelter, evacuation and medical) to the flood victims. Connecting such people to the needy in a timely manner can make the disaster management process more efficient. In this paper, the authors highlight, (1) the design of Apache Storm based real time analytics of twitter data for extracting location and status of flood affected areas and (2) the development of an optimized map connecting the volunteers (people ready to help flood victims) and the flood victims who have raised their requests via social media.
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Effective disaster management is a global challenge as it can affect any country on earth. Many researches are going on to find a standard platform in this area. Here we examine some research papers that gave us an idea on

  • 1.

    Why social media?

  • 2.

    How to use social media?

  • 3.

    What to be done with social media?

Linna Li and et. al., discuss the role of social networks in crowd sourcing of geospatial information for emergency management, data generation and dissemination. The authors bring attention towards the requirement of information diffusion over social networks and on the effectiveness of possible channels for distributing relevant information in emergencies so that authorities can wisely choose platforms for giving evacuation orders.

According to Chatfield, and Brajawidagda, the increasingly significant role played by social media in disaster management has been attributed to their five distinct characteristics which include collectivity, connectivity, completeness, clarity and collaboration. The authors have explained the collectivity nature of social media that allows people across geographical boundaries and time zones to get connected via common platforms. This connectivity feature allows users to be connected to other resources through the sharing of web links.

C Annamalaiet.al., discusses various challenges and benefits of digitally empowered world in facing a crisis scenario by taking several previous examples such as Santa Barbara wildfires of 2007-2009.

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