Situational Awareness Enhanced through Social Media Analytics: A Survey of First Responders

September 16, 2019 ยท The Cartographer ยท ๐Ÿ› IEEE International Conference on Technologies for Homeland Security

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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"Title-pattern auto-detect: Situational Awareness Enhanced through Social Media Analytics: A Survey of First Responders"

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Authors Luke S. Snyder, Morteza Karimzadeh, Christina Stober, David S. Ebert arXiv ID 1909.07316 Category cs.SI: Social & Info Networks Cross-listed cs.CY Citations 10 Venue IEEE International Conference on Technologies for Homeland Security Last Checked 3 days ago
Abstract
Social media data has been increasingly used to facilitate situational awareness during events and emergencies such as natural disasters. While researchers have investigated several methods to summarize, visualize or mine the data for analysis, first responders have not been able to fully leverage research advancements largely due to the gap between academic research and deployed, functional systems. In this paper, we explore the opportunities and barriers for the effective use of social media data from first responders' perspective. We present the summary of several detailed interviews with first responders on their use of social media for situational awareness. We further assess the impact of SMART-a social media visual analytics system-on first responder operations.
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