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Detecting Disaster Recovery Activities via Social Media Communication Topics
Yuya Shibuya
author
Hideyuki Tanaka
author
2019
Iscram
Valencia, Spain
English
Enhancing situational awareness by mining social media has been widely studied, but little work has been done
focusing on recovery phases. To provide evidence to support the possibility of harnessing social media as a sensor
of recovery activities, we examine the correlations between topic frequencies on Twitter and people?s socioeconomic
recovery activities as reflected in the excess demand for used cars and housing, after the Great East
Japan Earthquake and Tsunami of 2011. Our research suggests that people in the disaster-stricken area
communicated more about recovery and disaster damages when they needed to purchase used cars, while the nonlocal
population communicated more about going to and supporting the disaster-stricken area. On the other hand,
regarding the excess demand for housing, when the local population of the disaster-stricken area started to resettle,
they communicated their opinions more than in other periods about disaster-related situations.
Social Media
Topic modeling
Socio-economic recovery
Used-car demand
Housing demand.
exported from refbase (http://idl.iscram.org/show.php?record=1889), last updated on Fri, 22 Nov 2019 11:54:15 +0100
text
http://idl.iscram.org/files/yuyashibuya/2019/1889_YuyaShibuya+HideyukiTanaka2019.pdf
YuyaShibuya+HideyukiTanaka2019
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management
Iscram 2019
Franco
Z
editor
González
J
J
editor
Canós
J
H
editor
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)
2019
Iscram
Valencia, Spain
conference publication
978-84-09-10498-7
2411-3387
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