Helping Crisis Responders Find the Informative Needle in the Tweet Haystack

January 29, 2018 ยท Declared Dead ยท ๐Ÿ› International Conference on Information Systems for Crisis Response and Management

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Authors Leon Derczynski, Kenny Meesters, Kalina Bontcheva, Diana Maynard arXiv ID 1801.09633 Category cs.CL: Computation & Language Citations 24 Venue International Conference on Information Systems for Crisis Response and Management Last Checked 4 months ago
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).
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