Edge technologies for disaster management: A survey of social media and artificial intelligence integration
Within the paradigm of smart cities, smart devices can be considered as a tool to enhance
safety. Edge sensing, Internet of Things (IoT), big data, social media analytics, edge …
safety. Edge sensing, Internet of Things (IoT), big data, social media analytics, edge …
Extraction and analysis of natural disaster-related VGI from social media: review, opportunities and challenges
The idea of 'citizen as sensors' has gradually become a reality over the past decade. Today,
Volunteered Geographic Information (VGI) from citizens is highly involved in acquiring …
Volunteered Geographic Information (VGI) from citizens is highly involved in acquiring …
Using AI and social media multimodal content for disaster response and management: Opportunities, challenges, and future directions
Abstract People increasingly use Social Media (SM) platforms such as Twitter and Facebook
during disasters and emergencies to post situational updates including reports of injured or …
during disasters and emergencies to post situational updates including reports of injured or …
Hazard risk awareness and disaster management: Extracting the information content of twitter data
The use of social media platforms such as Twitter significantly increases during natural
hazards. With the emergence of several social media platforms over the past decade, many …
hazards. With the emergence of several social media platforms over the past decade, many …
[HTML][HTML] Social response and Disaster management: Insights from twitter data Assimilation on Hurricane Ian
During natural disasters, people use social media platforms to share their opinions and
general information about the event. Here, we investigate the public response to large and …
general information about the event. Here, we investigate the public response to large and …
Social media for enhanced understanding of disaster resilience during Hurricane Florence
Citizens with different demographic characters presented varying responses and behaviors
in the same disasters. Their divergent responses can impact their actual damages during …
in the same disasters. Their divergent responses can impact their actual damages during …
[HTML][HTML] CrisisTransformers: Pre-trained language models and sentence encoders for crisis-related social media texts
Social media platforms play an essential role in crisis communication, but analysing crisis-
related social media texts is challenging due to their informal nature. Transformer-based pre …
related social media texts is challenging due to their informal nature. Transformer-based pre …
Domain-specific sentiment analysis for tweets during hurricanes (DSSA-H): A domain-adversarial neural-network-based approach
Hurricanes are one of the most frequent and destructive disasters in the United States. The
events are large scale and have relatively long-term impacts. Social networking platforms …
events are large scale and have relatively long-term impacts. Social networking platforms …
Multi-label disaster text classification via supervised contrastive learning for social media data
Social media is a crucial way to release information in a timely manner during disasters,
which provides help to people who suffer from disasters. In this disaster information, each …
which provides help to people who suffer from disasters. In this disaster information, each …
Social media information sharing for natural disaster response
Social media has become an essential channel for posting disaster-related information,
which provides governments and relief agencies real-time data for better disaster …
which provides governments and relief agencies real-time data for better disaster …