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To respond to a disaster in a targeted manner, it is essential to have a comprehensive overview of the situation. Despite the widespread use of social media in disaster management, near-real-time situational awareness is challenging in times of crises. It is especially difficult to achieve near-real-time situational awareness with the help of social media. Every crisis has a trajectory which consists of countless events, triggering many reactions. To be able to assess the situation at any time a considerable amounts of computing power is required. Our research aims to solve this problem with the help of a toolset that enables the user to process micro-blogging data using Open Source Intelligence, Event Tracking and Machine Learning to automate the generation of short situational awareness reports.
Reiner M. Creutzburg
"OSINT in disaster management: a gold mine to be exploited now (Conference Presentation)", Proc. SPIE 12526, Multimodal Image Exploitation and Learning 2023
, 125260B (15 June 2023); https://doi.org/10.1117/12.2665075
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Reiner M. Creutzburg, "OSINT in disaster management: a gold mine to be exploited now (Conference Presentation)," Proc. SPIE 12526, Multimodal Image Exploitation and Learning 2023
, 125260B (15 June 2023); https://doi.org/10.1117/12.2665075