TY - JOUR
T1 - Using AI and Social Media Multimodal Content for Disaster Response and Management
T2 - Opportunities, Challenges, and Future Directions
AU - Imran, Muhammad
AU - Ofli, Ferda
AU - Caragea, Doina
AU - Torralba, Antonio
N1 - Publisher Copyright:
© 2020
PY - 2020/9
Y1 - 2020/9
N2 - 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 dead people, infrastructure damage, requests of urgent needs, and the like. Information on SM comes in many forms, such as textual messages, images, and videos. Several studies have shown the utility of SM information for disaster response and management, which encouraged humanitarian organizations to start incorporating SM data sources into their workflows. However, several challenges prevent these organizations from using SM data for response efforts. These challenges include near-real-time information processing, information overload, information extraction, summarization, and verification of both textual and visual content. We highlight various applications and opportunities of SM multimodal data, latest advancements, current challenges, and future directions for the crisis informatics and other related research fields.
AB - 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 dead people, infrastructure damage, requests of urgent needs, and the like. Information on SM comes in many forms, such as textual messages, images, and videos. Several studies have shown the utility of SM information for disaster response and management, which encouraged humanitarian organizations to start incorporating SM data sources into their workflows. However, several challenges prevent these organizations from using SM data for response efforts. These challenges include near-real-time information processing, information overload, information extraction, summarization, and verification of both textual and visual content. We highlight various applications and opportunities of SM multimodal data, latest advancements, current challenges, and future directions for the crisis informatics and other related research fields.
KW - Artificial intelligence
KW - Computer vision
KW - Multimodal learning
KW - Natural language processing
KW - Social media
UR - http://www.scopus.com/inward/record.url?scp=85085328859&partnerID=8YFLogxK
U2 - 10.1016/j.ipm.2020.102261
DO - 10.1016/j.ipm.2020.102261
M3 - Editorial
AN - SCOPUS:85085328859
SN - 0306-4573
VL - 57
JO - Information Processing and Management
JF - Information Processing and Management
IS - 5
M1 - 102261
ER -