Simulating real-time Twitter data from historical datasets

Shane E. Halse, Rob Grace, Jess Kropczynski, Andrea Tapia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 crisis have become publicly available, there is a lack of tools or systems can present this data on the same timeline as it was originally posted. 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 also has its benefits in training scenarios, which would allow participants to see real, non-fabricated social media messages in the same temporal manner as found on a social media platform. Lastly, we will discuss the positive reception and future improvements suggested by 911 Public Service Answering Point (PSAP) professionals.

Original languageEnglish
Title of host publicationISCRAM 2019 - Proceedings
Subtitle of host publication16th International Conference on Information Systems for Crisis Response and Management
EditorsZeno Franco, Jose J. Gonzalez, Jose H. Canos
PublisherInformation Systems for Crisis Response and Management, ISCRAM
Pages780-787
Number of pages8
ISBN (Electronic)9788409104987
StatePublished - 2019
Event16th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2019 - Valencia, Spain
Duration: May 19 2019May 22 2019

Publication series

NameProceedings of the International ISCRAM Conference
Volume2019-May
ISSN (Electronic)2411-3387

Conference

Conference16th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2019
CountrySpain
CityValencia
Period05/19/1905/22/19

Keywords

  • Crisis Response
  • Simulation
  • Social Media
  • Twitter

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  • Cite this

    Halse, S. E., Grace, R., Kropczynski, J., & Tapia, A. (2019). Simulating real-time Twitter data from historical datasets. In Z. Franco, J. J. Gonzalez, & J. H. Canos (Eds.), ISCRAM 2019 - Proceedings: 16th International Conference on Information Systems for Crisis Response and Management (pp. 780-787). (Proceedings of the International ISCRAM Conference; Vol. 2019-May). Information Systems for Crisis Response and Management, ISCRAM.