Interactive monitoring of critical situational information on social media

Michael Aupetit, Muhammad Imran

Research output: Contribution to journalConference article

2 Citations (Scopus)

Abstract

According to many existing studies, the data available on social media platforms such as Twitter at the onset of a crisis situation could be useful for disaster response and management. However, making sense of this huge data coming at high-rate is still a challenging task for crisis managers. In this work, we present an interactive social media monitoring tool that uses a supervised classification engine and natural language processing techniques to provide a detailed view of an on-going situation. The tool allows users to apply various filtering options using interactive timelines, critical entities, and other logical operators to get quick access to situational information. The evaluation of the tool conducted with crisis managers shows its significance for situational awareness and other crisis management related tasks.

Original languageEnglish
Pages (from-to)673-683
Number of pages11
JournalProceedings of the International ISCRAM Conference
Volume2017-May
Publication statusPublished - 1 Jan 2017

Fingerprint

Monitoring
Managers
Disasters
Engines
Processing
Social media
Natural language processing
Operator
Sensemaking
Logic
Evaluation
Disaster response
Disaster management
Twitter
Crisis management

Keywords

  • Disaster management
  • Information visualization
  • Social media

ASJC Scopus subject areas

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

Cite this

Interactive monitoring of critical situational information on social media. / Aupetit, Michael; Imran, Muhammad.

In: Proceedings of the International ISCRAM Conference, Vol. 2017-May, 01.01.2017, p. 673-683.

Research output: Contribution to journalConference article

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