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• W2899843195 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." @default.
• W2899843195 created "2018-11-16" @default.
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• W2899843195 date "2018-01-01" @default.
• W2899843195 modified "2023-09-26" @default.
• W2899843195 title "A Big-Data Analysis of Disaster Information Dissemination in South Korea" @default.
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• W2899843195 doi "https://doi.org/10.1007/978-3-030-02843-5_37" @default.
• W2899843195 hasPublicationYear "2018" @default.
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