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).
Original language | English |
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Title of host publication | Proceedings of the 15th ISCRAM Conference |
Place of Publication | Rochester, NY (USA) |
Publisher | RIT Scholar Works / Rochester Institute of Technology |
Publication date | 2018 |
ISBN (Electronic) | 978-0-692-12760-5 |
Publication status | Published - 2018 |
Externally published | Yes |
Keywords
- Crisis Response
- Social Media
- Informative Data Filtering
- Actionability Classification
- Digital Information Tools