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International Conference on Intelligent Data Engineering and Automated Learning

IDEAL 2015: Intelligent Data Engineering and Automated Learning – IDEAL 2015 pp 475–484Cite as

Propagating Disaster Warnings on Social and Digital Media

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9375))

Abstract

A nexus of techniques including information extraction techniques, including a bag of words model, web and social media search and time series analysis, are discussed that may reveal the potential of social media and social networks. Social aspects of data privacy are discussed to ensuring that the data collected, filtered, and then used. This work is the effort of Trinity College Dublin and other universities.

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Notes

  1. 1.

    http://newstex.com/about/what-is-authoritative-content/.

  2. 2.

    http://www.erh.noaa.gov/er/box/glossary.htm.

  3. 3.

    http://www.weather.gov/erh/.

  4. 4.

    http://nlp.stanford.edu/software/CRF-NER.shtml.

  5. 5.

    https://github.com/twitter/AnomalyDetection.

  6. 6.

    https://github.com/twitter/BreakoutDetection.

References

  1. Bird, S.: Nltk: the natural language toolkit. In: Proceedings of the COLING/ACL on Interactive presentation sessions, pp. 69–72. Association for Computational Linguistics (2006)

    Google Scholar 

  2. Huber, P.J.: Robust Statistics. Springer, Heidelberg (2011)

    Book  Google Scholar 

  3. Hughes, A.L., Palen, L.: Twitter adoption and use in mass convergence and emergency events. Int. J. Emerg. Manage. 6(3), 248–260 (2009)

    Article  Google Scholar 

  4. Hui, C., Tyshchuk, Y., Wallace, W.A., Magdon-Ismail, M., Goldberg, M.: Information cascades in social media in response to a crisis: a preliminary model and a case study. In: Proceedings of the 21st International Conference Companion on World Wide Web, pp. 653–656. ACM (2012)

    Google Scholar 

  5. Kelly, S., Ahmad, K.: Determining levels of urgency and anxiety during a natural disaster: noise, affect, and news in social media. In: DIMPLE: DIsaster Management and Principled Large-Scale information Extraction Workshop Programme, p. 70

    Google Scholar 

  6. Rosner, B.: Percentage points for a generalized esd many-outlier procedure. Technometrics 25(2), 165–172 (1983)

    Article  MATH  Google Scholar 

  7. Stone, P.J., Dunphy, D.C., Smith, M.S.: The General Inquirer: A Computer Approach to Content Analysis. MIT Press, Cambridge (1966)

    Google Scholar 

  8. Székely, G.J., Rizzo, M.L.: Energy statistics: a class of statistics based on distances. J. Stat. Plann. Infer. 143(8), 1249–1272 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  9. Toutanova, K., Klein, D., Manning, C.D., Singer, Y.: Feature-rich part-of-speech tagging with a cyclic dependency network. In: Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology, vol. 1, pp. 173–180. Association for Computational Linguistics (2003)

    Google Scholar 

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Acknowledgments

The authors would like to thank the EU sponsored Slaindail Project (FP7 Security sponsored project #6076921) and Xiubo Zhang for use of the CiCui system.

Author information

Authors and Affiliations

  1. Trinity College Dublin, Dublin, Ireland

    Stephen Kelly & Khurshid Ahmad

Authors
  1. Stephen Kelly
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  2. Khurshid Ahmad
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Corresponding author

Correspondence to Stephen Kelly .

Editor information

Editors and Affiliations

  1. Wroclaw University of Technology, Wroclaw, Poland

    Konrad Jackowski

  2. Department of Systems, Wroclaw University of Technology, Wroclaw, Poland

    Robert Burduk

  3. Wroclaw Univ of Tech, Wroclaw, Poland

    Krzysztof Walkowiak

  4. Wroclaw University of Technology, Faculty of Electronics, Wroclaw, Poland

    Michal Wozniak

  5. School of Electrical & Electronic E, University of Manchester, Manchester, United Kingdom

    Hujun Yin

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© 2015 Springer International Publishing Switzerland

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Kelly, S., Ahmad, K. (2015). Propagating Disaster Warnings on Social and Digital Media. In: Jackowski, K., Burduk, R., Walkowiak, K., Wozniak, M., Yin, H. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2015. IDEAL 2015. Lecture Notes in Computer Science(), vol 9375. Springer, Cham. https://doi.org/10.1007/978-3-319-24834-9_55

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  • DOI: https://doi.org/10.1007/978-3-319-24834-9_55

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24833-2

  • Online ISBN: 978-3-319-24834-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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