8th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing

Research Article

Social Media Alert and Response to Threats to Citizens

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  • @INPROCEEDINGS{10.4108/icst.collaboratecom.2012.250713,
        author={Nabil Adam and Jayan Eledath and Sharad Mehrotra and Nalini Venkatasubramanian},
        title={Social Media Alert and Response to Threats to Citizens},
        proceedings={8th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing},
        publisher={IEEE},
        proceedings_a={COLLABORATECOM},
        year={2012},
        month={12},
        keywords={social media emergency management alerting robust data analytics},
        doi={10.4108/icst.collaboratecom.2012.250713}
    }
    
  • Nabil Adam
    Jayan Eledath
    Sharad Mehrotra
    Nalini Venkatasubramanian
    Year: 2012
    Social Media Alert and Response to Threats to Citizens
    COLLABORATECOM
    ICST
    DOI: 10.4108/icst.collaboratecom.2012.250713
Nabil Adam1,*, Jayan Eledath2, Sharad Mehrotra3, Nalini Venkatasubramanian3
  • 1: US Department of Homeland Security
  • 2: SRI International
  • 3: University of California, Irvine
*Contact email: Nabil.Adam@dhs.gov

Abstract

Social media, such as blogs, Twitter, and information portals, have emerged as the dominant communication mechanism of society. Exploiting such input to gain awareness of an incident is a critical direction for research in effective emergency management. In this paper we present an overview of the SMART-C system, which is part of the social media initiative at the Department of Homeland Security. The system aims to enable robust bidirectional communication between emergency management and the public at large throughout the disaster life- cycle via a multitude of devices and modalities including cell phones, MMS messages, text messages, blogs, Twitter, etc. A discussion of the major components of SMART-C and related research challenges is included. These components include mechanisms to model event level semantic information, a platform for implementing multi-sensor fusion, mechanisms for estimating the veracity of information, data cleaning to reduce uncertainty and enhance accuracy of event detection and notification, and spatiotemporal analyses for pattern and trend analyses for higher level observations