Helping Crisis Responders Find the Informative Needle in the Tweet Haystack
- ,
- Kenny Meesters,
- Diana Maynard,
- Kalina Bontcheva
- University of Sheffield,
- Delft University of Technology
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOpen access
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOriginal language
EnglishPublication milestones
- Published - 2018
Publication status
Published - 2018
Place of publication
Rochester, NY (USA)Publisher
RIT Scholar WorksISBN (Electronic)
978-0-692-12760-5Publication IDs
- Scopus: 85060732324
Host publication title
Proceedings of the 15th ISCRAM ConferenceAbstract
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).
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Citations
14
Captures
46
Access to documents
Accepted author manuscript, 809.49 KB
