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Helping Crisis Responders Find the Informative Needle in the Tweet Haystack
Leon Derczynski
author
Kenny Meesters
author
Kalina Bontcheva
author
Diana Maynard
author
2018
Rochester Institute of Technology
Rochester, NY (USA)
English
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).
informativeness
twitter
social media
actionability
information filtering
exported from refbase (http://idl.iscram.org/show.php?record=2139), last updated on Mon, 25 Nov 2019 10:47:27 +0100
text
http://idl.iscram.org/files/leonderczynski/2018/2139_LeonDerczynski_etal2018.pdf
LeonDerczynski_etal2018
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management
Iscram 2018
Kees Boersma
editor
Brian Tomaszeski
editor
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
2018
Rochester Institute of Technology
Rochester, NY (USA)
conference publication
649
662
978-0-692-12760-5
2411-3387
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