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Author (up) Sara Barozzi; Jose Luis Fernandez Marquez; Amudha Ravi Shankar; Barbara Pernici pdf 
  Title Filtering images extracted from social media in the response phase of emergency events Type Conference Article
  Year 2019 Publication Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2019  
  Volume Issue Pages 768-779  
  Keywords rapid mapping; floods; information extraction; filtering; crowdsourcing  
  Abstract The use of social media to support emergency operators in the first response phases can improve awareness on on going emergency events. Social media contain both textual and visual information, in the form of pictures and videos. The problem in using social media posts as a source of information during emergency it is difficult to select the relevant information among a very large amount of not useful information. In particular, we focus on the extraction images relevant to the event for rapid mapping purposes. A set of possible filters is proposed and analyzed in the paper, with the goal of selecting images from posts, evaluating how precision and recall are impacted in two different case studies. Filtering techniques have the goal of proving participants in crowdsourcing activations and emergency operators with better quality posts and reduced volumes.  
  Address (1) Politecnico di Milano; (2) University of Geneva  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium  
  Track T8- Social Media in Crises and Conflicts Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)  
  Notes;;; Approved no  
  Call Number Serial 1759  
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