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Author (up) Anna Kruspe; Jens Kersten; Friederike Klan pdf 
  Title Detecting event-related tweets by example using few-shot models 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 825-835  
  Keywords Social media; Twitter; Relevance; Keywords; Hashtags; Few-shot models; One-class classification  
  Abstract However, it is a bit naive hypothesis since biased and misleading viewpoints would be the majority in many cases. The aim of our study is to develop a robust propagation-based fake news detection model that remains accurate regardless of the above-mentioned challenges. For that, we will simulate different use cases with biased and misleading stances  
  Address German Aerospace Center (DLR), Germany  
  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 anna.kruspe@dlr.de; jens.kersten@dlr.de; friederike.klan@dlr.de Approved no  
  Call Number Serial 1764  
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