Social Media Communication Data For Recovery: Detecting Socio-Economic Activities Following A Disaster

$15.99

Social Media Communication Data For Recovery: Detecting Socio-Economic Activities Following A Disaster
Authors: Yuya Shibuya
Year: 2020
Publisher: Springer
Language: English
ISBN 13: 9789811508257
ISBN 10: 9811508259
Categories: Computers, Applications and Software
Pages: 320 / 319
Edition:

Availability: 5000 in stock

SKU: 9789811508257 Categories: ,

Social Media Communication Data For Recovery: Detecting Socio-Economic Activities Following A Disaster Yuya Shibuya
This book explores the possibility of using social media data for detecting socio-economic recovery activities. In the last decade, there have been intensive research activities focusing on social media during and after disasters. This approach, which views people’s communication on social media as a sensor for real-time situations, has been widely adopted as the “people as sensor” approach. Furthermore, to improve recovery efforts after large-scale disasters, detecting communities’ real-time recovery situations is essential, since conventional socio-economic recovery indicators, such as governmental statistics, are not published in real time. Thanks to its timeliness, using social media data can fill the gap. Motivated by this possibility, this book especially focuses on the relationships between people’s communication on Twitter and Facbook pages, and socio-economic recovery activities as reflected in the used-car market data and the housing market data in the case of two major disasters: the Great East Japan Earthquake and Tsunami of 2011 and Hurricane Sandy in 201 The book pursues an interdisciplinary approach, combining e.g. disaster recovery studies, crisis informatics, and economics. In terms of its contributions, firstly, the book sheds light on the “people as sensors” approach for detecting socio-economic recovery activities, which has not been thoroughly studied to date but has the potential to improve situation awareness during the recovery phase. Secondly, the book proposes new socio-economic recovery indicators: used-car market data and housing market data. Thirdly, in the context of using social media during the recovery phase, the results demonstrate the importance of distinguishing between social media data posted both by people who are at or near disaster-stricken areas and by those who are farther away. Categories:
Computers – Applications & Software
Year:
2020
Publisher:
Springer
Language:
english
Pages:
231
ISBN 10:
9811508259
ISBN 13:
9789811508257
File:
88 MB

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Social Media Communication Data For Recovery: Detecting Socio-Economic Activities Following A Disaster
$15.99

Availability: 5000 in stock