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Author (up) Asmelash Teka Hadgu; Sallam Abualhaija; Claudia Niederée pdf 
  Title Real-time Adaptive Crawler for Tracking Unfolding Events on Twitter 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 923-931  
  Keywords social search; real-time adaptive search; event tracking; crsis communication  
  Abstract When a major event such as a crisis situation occurs, people post messages on social media sites such as Twitter, in order to exchange information or to share emotions. These posts can provide useful information to raise situation awareness and support decision making. In this paper, we propose a novel method for social media crawling, which exploits a Bayesian inference framework to keep track of keyword changes over time and uses a counter-stream for keeping the inclusion of noise and irrelevant information under control. In addition, we contribute to another still under-developed area for adaptive crawling, namely systematic evaluation of recall. We come up with a framework to evaluate real-time adaptive social search algorithms in a reproducible manner, which relies on a semi-automated approach for ground-truth construction. We show that our method outperforms previous methods for very large scale events.  
  Address (1) L3S Research Center, Leibniz universität Hannover, Germany; (2) Interdisciplinary Centre for Security, Reliability and Trust  
  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 teka@L3S.de; sallam.abualhaija@uni.lu; niederee@L3S.de Approved no  
  Call Number Serial 1774  
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