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How do eyewitness social media reports reflect socio-economic effects of natural hazards?

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Social Informatics (SocInfo 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10540))

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Abstract

Recent years have seen a remarkable proliferation of studies attempting to establish relationships between observable online human behaviour and various types of crisis (social, political, economic and natural). Methods utilizing user generated content (UGC) have been already applied to various environmental hazards, such as floods, wildfires, earthquakes, tsunamis and other kinds of emergencies. However, what is currently lacking are more detailed insights into differences between the ways people use social media to report various natural hazard events. In this study we make use of the YFCC100M dataset in order to verify whether statistically robust relationships exist between the volumes of uploaded content during different natural hazards and estimated human and economic losses in the affected countries. Our findings demonstrate that Flickr reflect impacts of events with the highest frequency of occurrence (such as floods or storms) and/or with the recurring spatial structure (such as landslides or earthquakes).

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Authors and Affiliations

  1. Warwick Institute for the Science of Cities, University of Warwick, Coventry, UK

    Nataliya Tkachenko, Rob Procter & Stephen Jarvis

  2. Department of Computer Science, University of Warwick, Coventry, UK

    Nataliya Tkachenko, Rob Procter & Stephen Jarvis

  3. The Alan Turing Institute, The British Library, London, UK

    Rob Procter & Stephen Jarvis

Authors
  1. Nataliya Tkachenko
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  2. Rob Procter
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  3. Stephen Jarvis
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Corresponding author

Correspondence to Nataliya Tkachenko .

Editor information

Editors and Affiliations

  1. Indiana University, Bloomington, Indiana, USA

    Giovanni Luca Ciampaglia

  2. University of Washington, Seattle, Washington, USA

    Afra Mashhadi

  3. University of Oxford, Oxford, United Kingdom

    Taha Yasseri

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Tkachenko, N., Procter, R., Jarvis, S. (2017). How do eyewitness social media reports reflect socio-economic effects of natural hazards?. In: Ciampaglia, G., Mashhadi, A., Yasseri, T. (eds) Social Informatics. SocInfo 2017. Lecture Notes in Computer Science(), vol 10540. Springer, Cham. https://doi.org/10.1007/978-3-319-67256-4_17

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  • DOI: https://doi.org/10.1007/978-3-319-67256-4_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67255-7

  • Online ISBN: 978-3-319-67256-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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