Situational Awareness in Mass Emergency: Behavioral & Linguistic Analysis of Disaster Tweets
Sarah Vieweg‘s doctoral dissertation from the University of Colorado is a must-read for anyone interested in the use of twitter during crises. I read the entire 300-page study because it provides important insights on how automated natural language processing (NLP) can be applied to the Twittersphere to provide situational awareness following a sudden-onset emergency. Big thanks to Sarah for sharing her dissertation with QCRI. I include some excerpts below to highlight the most important findings from her excellent research.
Read full post with many tables.
Phi Beta Iota: Dr. Patrick Meier has rapidly become the single most important focal point for the emergence of public intelligence in the public interest. This one post is so important that we have put it into a single ten page document for ease of study: Situational Awareness in Mass Emergency William Binney's Thin Thread–the cost effective meta data analytics program that respected privacy by drawing extraordinary insights from data in the aggregate–is now in the public domain. We view this as a tipping point.
