Situational Awareness Enhanced through Social Media Analytics: A Survey of First Responders
September 16, 2019 ยท The Cartographer ยท ๐ IEEE International Conference on Technologies for Homeland Security
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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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