Online Processing of Social Media Data for Emergency Management

2013 ◽  
Author(s):  
Daniela Pohl ◽  
Abdelhamid Bouchachia ◽  
Hermann Hellwagner
Keyword(s):  
Social Media ◽  
Emergency Management ◽  
Social Media Data ◽  
Online Processing ◽  
Media Data

scholarly journals Online indexing and clustering of social media data for emergency management

2016 ◽  
Vol 172 ◽  
pp. 168-179 ◽  
Author(s):  
Daniela Pohl ◽  
Abdelhamid Bouchachia ◽  
Hermann Hellwagner
Keyword(s):  
Social Media ◽  
Emergency Management ◽  
Social Media Data ◽  
Media Data

scholarly journals Visualizing and Mining Social Media Data for Smart Emergency Management

2019 ◽  
Vol 1 ◽  
pp. 1-2
Author(s):  
Lei Zou
Keyword(s):  
Social Media ◽  
Emergency Management ◽  
Hurricane Sandy ◽  
Disaster Resilience ◽  
Social Media Data ◽  
Human Behaviors ◽  
Emergency Rescue ◽  
Response Recovery ◽  
The Social ◽  
Media Data

<p><strong>Abstract.</strong> The ability of a community to prepare for, absorb, recover from, and more successfully adapt to disastrous events is defined as disaster resilience. Disaster resilience can be better understood by investigating human behaviors during the four phases of emergency management – preparedness, response, recovery, and mitigation. However, a major challenge is that data describing communities’ behaviors in different phases of emergency management are difficult to access through traditional databases. Social media such as Twitter is increasingly being used as an effective platform to observe human behaviors in disastrous events. These responses and behaviors could be better understood by analyzing real-time social media data through categorizing them into different phases of the emergency management.</p><p>This research studies the Twitter use during 2012 Hurricane Sandy and 2017 Hurricane Harvey, which struck the U.S. northeast and south coasts, respectively. The objectives are fourfold: (1) to develop a Twitter data mining and visualization framework and a set of indexes for emergency management and resilience analysis; (2) to visualize the spatial-temporal patterns of disaster-related Twitter activities during the two hurricane events; (3) to examine and compare the social-geographical disparities of disaster-related Twitter activities during Sandy and Harvey; and (4) to build applications using social media data for smart management, including surveying human behaviors and emergency rescue.</p>

scholarly journals Digital Nudging in Social Media Disaster Communication

2020 ◽  
Author(s):  
Milad Mirbabaie ◽  
Christian Ehnis ◽  
Stefan Stieglitz ◽  
Deborah Bunker ◽  
Tanja Rose
Keyword(s):  
Social Media ◽  
Data Analysis ◽  
Literature Review ◽  
Emergency Management ◽  
Disaster Management ◽  
Social Media Data ◽  
Disaster Communication ◽  
Digital Nudging ◽  
Media Data ◽  
Data Analysis Methods

AbstractSocial media has become an important channel of communication in emergency and disaster management. Emergency Management Agencies can distribute helpful and important information to the general public and also gather information to enrich their management efforts. This, however, remains challenging since several communication-related barriers occur. This study investigates how the concept of Nudging, a form of behaviour adjustment, can be applied to address these barriers. A Systematic Literature Review and qualitative social media data analysis methods were applied to explore the potential of digital nudges on social media. Twelve forms of digital nudges could be identified in the data that influenced the visibility of the messages they occurred in. The results suggest that Digital Nudging on Social Media is a promising approach to use in emergency and disaster communication.

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