Journal
INFORMATION PROCESSING & MANAGEMENT
Volume 57, Issue 5, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.ipm.2020.102261
Keywords
Social media; Artificial intelligence; Natural language processing; Computer vision; Multimodal learning
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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.
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