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A Methodology for enhancing Emergency Situational Awareness through Social Media

Published: 23 August 2022 Publication History

Abstract

Social media are a valuable source of information during emergency situations. First responders and rescue teams can further improve their situation awareness and be able to act more effectively, when using information available in the form of social media posts made from the public. This work proposes a methodology supported by a toolflow, which combines machine learning techniques for identifying informative Twitter posts about ongoing incidents of various types, with a semi-automated way of dispatching information to first responders. Evaluation results show that the accuracy of detecting informative text and images posted on Twitter about ongoing emergency situations, exceeds 80%, while analysis performance is near real-time.

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  • (2024)Bitacora: A Toolkit for Supporting NonProfits to Critically Reflect on Social Media Data UseProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642673(1-29)Online publication date: 11-May-2024
  • (2024)Protection of critical infrastructures from advanced combined cyber and physical threatsInternational Journal of Critical Infrastructure Protection10.1016/j.ijcip.2023.10065744:COnline publication date: 16-May-2024
  • (2023)Detecting a Complex Attack Scenario in an Airport: The PRAETORIAN FrameworkProceedings of the 18th International Conference on Availability, Reliability and Security10.1145/3600160.3605095(1-7)Online publication date: 29-Aug-2023
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      cover image ACM Other conferences
      ARES '22: Proceedings of the 17th International Conference on Availability, Reliability and Security
      August 2022
      1371 pages
      ISBN:9781450396707
      DOI:10.1145/3538969
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Publication History

      Published: 23 August 2022

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      Author Tags

      1. Emergency management
      2. first responders
      3. machine learning
      4. situation awareness
      5. social media

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      Overall Acceptance Rate 228 of 451 submissions, 51%

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      View all
      • (2024)Bitacora: A Toolkit for Supporting NonProfits to Critically Reflect on Social Media Data UseProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642673(1-29)Online publication date: 11-May-2024
      • (2024)Protection of critical infrastructures from advanced combined cyber and physical threatsInternational Journal of Critical Infrastructure Protection10.1016/j.ijcip.2023.10065744:COnline publication date: 16-May-2024
      • (2023)Detecting a Complex Attack Scenario in an Airport: The PRAETORIAN FrameworkProceedings of the 18th International Conference on Availability, Reliability and Security10.1145/3600160.3605095(1-7)Online publication date: 29-Aug-2023
      • (2023)PRAETORIAN: A Framework for the Protection of Critical Infrastructures from advanced Combined Cyber and Physical ThreatsProceedings of the 18th International Conference on Availability, Reliability and Security10.1145/3600160.3605030(1-6)Online publication date: 29-Aug-2023

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