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Monitoring disaster impact: detecting micro-events and eyewitness reports in mainstream and social media

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F17%3A43932713" target="_blank" >RIV/49777513:23520/17:43932713 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Monitoring disaster impact: detecting micro-events and eyewitness reports in mainstream and social media

  • Original language description

    This paper approaches the problem of monitoring the impact of the disasters by mining web sources for the events, caused by these disasters. We refer to these disaster effects as “micro-events”. Micro-events typically following a large disaster include casualties, damage on infrastructures, vehicles, services and resource supply, as well as relief operations. We present natural language grammar learning algorithms which form the basis for building micro-event detection systems from data, with no or minor human intervention, and we show how they can be applied to mainstream news and social media for monitoring disaster impact. We also experimented with applying statistical classifiers to distill, from social media situational updates on disasters, eyewitness reports from directly affected people. Finally, we describe a Twitter mining robot, which integrates some of these monitoring techniques and is intended to serve as a multilingual content hub for enhancing situational awareness.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    R - Projekt Ramcoveho programu EK

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 14th International Conference on Information Systems for Crisis Response and Management

  • ISBN

  • ISSN

    2411-3387

  • e-ISSN

    neuvedeno

  • Number of pages

    11

  • Pages from-to

    592-602

  • Publisher name

    WiPe Paper - Social Media Studies

  • Place of publication

    Albi

  • Event location

    Albi, Francie

  • Event date

    May 21, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article