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Author (up) Shane Errol Halse; Rob Grace; Jess Kropczynski; Andrea Tapia pdf 
  Title Simulating real-time Twitter data from historical datasets 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 780-787  
  Keywords Twitter; Simulation; Crisis Response; Social Media  
  Abstract In this paper, we will discuss a system design for simulating social media data based on historical datasets. While many datasets containing data collected from social media during various crisis have become publically available, a lack of tools or systems can present this data on the same timeline as it was originally displayed. Through the design and use of the tool discussed in this paper, we show how historical datasets can be used for algorithm testing such as those used in machine learning to improve the quality of the data. In addition, the use of simulated data can also show benefits in training scenarios, which has benefit of allowing participants to see real, non-fabricated social media messages on the same timeline, as they would be posted. Lastly, we will discuss the positive reception and future improvements suggested by 911 Public Service Answering Point (PSAP) professionals.  
  Address (1) PSU, United States of America; (2) University of Cincinnati  
  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 seh297@ist.psu.edu; wrg123@ist.psu.edu; jess.kropczynski@uc.edu; atapia@ist.psu.edu Approved no  
  Call Number Serial 1760  
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