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Helping Crisis Responders Find the Informative Needle in the Tweet Haystack

  • University of Sheffield
    ,
  • Delft University of Technology
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Open access

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Original language

English

Publication milestones

  • Published - 2018

Publication status

Published - 2018

Place of publication

Rochester, NY (USA)

Publisher

RIT Scholar Works

ISBN (Electronic)

978-0-692-12760-5

Publication IDs

  • Scopus: 85060732324

Host publication title

Proceedings of the 15th ISCRAM Conference

Abstract

Crisis responders are increasingly using social media, data and other digital sources of information to build a situational understanding of a crisis situation in order to design an effective response. However with the increased availability of such data, the challenge of identifying relevant information from it also increases. This paper presents a successful automatic approach to handling this problem. Messages are filtered for informativeness based on a definition of the concept drawn from prior research and crisis response experts. Informative messages are tagged for actionable data -- for example, people in need, threats to rescue efforts, changes in environment, and so on. In all, eight categories of actionability are identified. The two components -- informativeness and actionability classification -- are packaged together as an openly-available tool called Emina (Emergent Informativeness and Actionability).

Publication metrics

PlumX

Citations
14
Captures
46

Access to documents

Accepted author manuscript, 809.49 KB