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research-article

Can Twitter Save Lives? A Broad-Scale Study on Visual Social Media Analytics for Public Safety

Authors:

Robert Krüger,

Thomas ErtlAuthors Info & Claims

IEEE Transactions on Visualization and Computer Graphics, Volume 22, Issue 7

Pages 1816 - 1829

https://doi.org/10.1109/TVCG.2015.2511733

Published: 01 July 2016 Publication History

Abstract

The use of social media monitoring for public safety is on the brink of commercialization and practical adoption. To close the gap between research and application, this paper presents results of a two-phase study on visual analytics of social media for public safety. For the first phase, we conducted a large field study, in which 29 practitioners from disaster response and critical infrastructure management were asked to investigate crisis intelligence tasks based on Twitter data recorded during the 2013 German Flood. To this end, the ScatterBlogs visual analytics system, a platform that provides reference implementations of tools and techniques popular in research, was given to them as an integrated toolbox. We reviewed the domain experts’ individual performances with the system as well as their comments about the usefulness of techniques. In the second phase, we built on this feedback about ScatterBlogs in order to sketch out a system and create additional tools specifically adapted to the collected requirements. The performance of the old lab prototype is finally compared against the re-design in a controlled user study.

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Cited By

Riebe TKaufhold MReuter C(2021)The Impact of Organizational Structure and Technology Use on Collaborative Practices in Computer Emergency Response Teams: An Empirical StudyProceedings of the ACM on Human-Computer Interaction10.1145/34798655:CSCW2(1-30)Online publication date: 18-Oct-2021
https://dl.acm.org/doi/10.1145/3479865
Zhang JMalik AAhlbrand BElmqvist NMaciejewski REbert DMark GFussell SLampe Cschraefel mHourcade JAppert CWigdor D(2017)TopoGroupsProceedings of the 2017 CHI Conference on Human Factors in Computing Systems10.1145/3025453.3025801(2940-2951)Online publication date: 2-May-2017
https://dl.acm.org/doi/10.1145/3025453.3025801

Index Terms

Can Twitter Save Lives? A Broad-Scale Study on Visual Social Media Analytics for Public Safety
1. Human-centered computing
  1. Human computer interaction (HCI)
2. Information systems
  1. Information systems applications

Index terms have been assigned to the content through auto-classification.

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Published In

cover image IEEE Transactions on Visualization and Computer Graphics

IEEE Transactions on Visualization and Computer Graphics Volume 22, Issue 7

July 2016

146 pages

ISSN:1077-2626

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Copyright © 2015.

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IEEE Educational Activities Department

United States

Publication History

Published: 01 July 2016

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Cited By

Riebe TKaufhold MReuter C(2021)The Impact of Organizational Structure and Technology Use on Collaborative Practices in Computer Emergency Response Teams: An Empirical StudyProceedings of the ACM on Human-Computer Interaction10.1145/34798655:CSCW2(1-30)Online publication date: 18-Oct-2021
https://dl.acm.org/doi/10.1145/3479865
Zhang JMalik AAhlbrand BElmqvist NMaciejewski REbert DMark GFussell SLampe Cschraefel mHourcade JAppert CWigdor D(2017)TopoGroupsProceedings of the 2017 CHI Conference on Human Factors in Computing Systems10.1145/3025453.3025801(2940-2951)Online publication date: 2-May-2017
https://dl.acm.org/doi/10.1145/3025453.3025801

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