Bad weather coming: Linking social media and weather sensor data

Shane Halse, Aurélie Montarnal, Andrea Tapia, Frédérick Bénaben

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

1 Scopus citations

Abstract

In this paper we leverage the power of citizen supplied data. We examined how both physical weather sensor data (obtained from the weather underground API) and social media data (obtained from Twitter) can serve to improve local community awareness during a severe weather event. A local tornado warning was selected due to its small scale and isolated geographic area, and only Twitter data found from within this geo-locational area was used. Our results indicate that during a severe weather event, an increase in weather activity obtained from the local weather sensors does correlate with an increase in local social media usage. The data found on social media also contains additional information from, and about the community of interest during the event. While this study focuses on a small scale event, it provides the groundwork for use during a much larger weather event.

Original languageEnglish (US)
Title of host publicationConference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2018
EditorsBrian Tomaszewski, Kees Boersma
PublisherInformation Systems for Crisis Response and Management, ISCRAM
Pages507-515
Number of pages9
ISBN (Electronic)9780692127605
StatePublished - Jan 1 2018
Event15th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2018 - Rochester, United States
Duration: May 20 2018May 23 2018

Publication series

NameProceedings of the International ISCRAM Conference
Volume2018-May
ISSN (Electronic)2411-3387

Other

Other15th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2018
CountryUnited States
CityRochester
Period5/20/185/23/18

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems
  • Information Systems and Management
  • Electrical and Electronic Engineering

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