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Correlation Analysis between Livestock Mortality Caused by Heat Wave and News Big Data

  • Journal of the Association of Korean Geographers
  • Abbr : JAKG
  • 2019, 8(3), pp.529-543
  • DOI : 10.25202/JAKG.8.3.13
  • Publisher : Association of Korean Geographers
  • Research Area : Social Science > Geography
  • Received : September 2, 2019
  • Accepted : November 21, 2019
  • Published : December 31, 2019

Jongchul Park 1 Kukjin Han 1 Yeora Chae 1

1한국환경정책·평가연구원

Accredited

ABSTRACT

Social big data can be a source of information for early detection of disasters. Furthermore, it contains new possibilities for understanding the spatial distribution of disasters. Understanding the relationship between information obtained from news big data and actual events is essential to do this. The purpose of this study is to improve the understanding of the relationship between the two data by comparing the results of the analysis of news big data and livestock mortality caused by heat waves. The number of news was doubled during the period livestock mortality increased. However, the number of news reached the peak after six days the livestock mortality reached the peak. In the temperature range where livestock mortality increased, the main keyword of the news was ’mortality’. In the news before mid-July, the main keywords were ‘response’ and ‘prevention’, and the main keyword was ‘mortality’ from mid-July to mid-August. Since mid-August, ‘price’ was the main keyword. Although the frequency of some key words is affected by social issues, the key word 'mortality' appeared mostly in temperature ranges and periods of actual mortality.

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