Situational Awareness in Mass Emergency: Behavioral & Linguistic Analysis of Disaster Tweets

The level 1 “categories”:
O: Off-topic
R: On-topic and Relevant to Situational Awareness
N: On-topic and Not Relevant to Situational Awareness
and the second step:
S: Social Environment
B: Built Environment
P: Physical Environment
are a fantastic development and show promise for application everywhere

iRevolutions

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.

Introduction

“In their research on human behavior in disaster, Fritz and Marks (1954) state: ‘[T]he immediate problem in a disaster situation is neither un-controlled behavior nor intense emotional reaction, but deficiencies of coordination and organization, complicated by people acting upon individual…definitions of the situation.'”

“Fritz and Marks’ assertion that people define disasters individually, which can lead to problematic outcomes, speaks to the need for common situational awareness among…

View original post 1,428 more words

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