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A Big-Data Analysis of Disaster Information Dissemination in South Korea

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Digital Transformation and Global Society (DTGS 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 858))

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Abstract

During the disaster periods, a large amount of information is created and distributed online through news media sites and other Web 2.0 tools including Twitter, discussion boards, online community, and blogs. As scholars actively debate on information dissemination patterns during the disasters, this study examined how individuals utilized the different forms of the Internet in order to generate relevant information. Using a big-data analysis of 3,578,877 online documents collected during 50 days periods each about the Gyeongju earthquake, and MERS, our results found that 1. The amount of information and its distribution by online platforms is significantly different between two disaster cases, 2. The proportion of daily generated documents during the disaster periods showed different patterns during each disaster case, 3. While the amount of daily generated information was gradually decreasing during the Gyeongju earthquake case, the information collected from non-media sites was increasing during the MERS period. The results highlight that individuals may utilize the Internet differently to deal with disaster-related information based on type of disaster. Therefore, a simple model would not accurately predict the online information dissemination pattern during the disaster.

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Author information

Authors and Affiliations

  1. Konkuk University, Seoul, South Korea

    Yongsuk Hwang, Jaekwan Jeong, Eun-Hyeong Jin, Hee Ra Yu & Dawoon Jung

Authors
  1. Yongsuk Hwang
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  2. Jaekwan Jeong
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  3. Eun-Hyeong Jin
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  4. Hee Ra Yu
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  5. Dawoon Jung
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Corresponding author

Correspondence to Jaekwan Jeong .

Editor information

Editors and Affiliations

  1. National Research University Higher School of Economics, St. Petersburg, Russia

    Daniel A. Alexandrov

  2. Saint Petersburg State University of Information Technologies, St. Petersburg, Russia

    Alexander V. Boukhanovsky

  3. Saint Petersburg State University of Information Technologies, St. Petersburg, Russia

    Andrei V. Chugunov

  4. National Research University Higher School of Economics, St. Petersburg, Russia

    Yury Kabanov

  5. National Research University Higher School of Economics, St. Petersburg, Russia

    Olessia Koltsova

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Hwang, Y., Jeong, J., Jin, EH., Yu, H.R., Jung, D. (2018). A Big-Data Analysis of Disaster Information Dissemination in South Korea. In: Alexandrov, D., Boukhanovsky, A., Chugunov, A., Kabanov, Y., Koltsova, O. (eds) Digital Transformation and Global Society. DTGS 2018. Communications in Computer and Information Science, vol 858. Springer, Cham. https://doi.org/10.1007/978-3-030-02843-5_37

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  • DOI: https://doi.org/10.1007/978-3-030-02843-5_37

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