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A Big Data Analysis of the News Trends on Wireless Emergency Alert Service

뉴스 빅데이터를 활용한 재난문자 뉴스 게재 경향 분석

  • Received : 2019.07.22
  • Accepted : 2019.09.04
  • Published : 2019.09.30

Abstract

This study investigates the number of news and correlated keywords concerning to Korean Wireless Emergency Alert(KWEA). The news was collected using BIGKinds, a news big data system provided by the Korea Press Foundation. When analyzing the annual published news articles, we investigated the frequency of the news grouped by disaster types, and the frequency of the news distinguishing between the earthquake and non-earthquake disasters, and finally the frequency of correlated keywords concerning to the disasters. We found that the KWEA news totaled 182 in 2016 due to the unprecedented powerful KyongJu earthquake, an increase of 20 times over the previous year. Ever since 2016, the news about the KWEA continued to hit high figures consistently. After the peak in KyongJu earthquake in 2016, the proportion of non-earthquakes had also increased in 2017 and 2018. Next, the keyword correlation analysis showed that the KWEA news gave major coverage to the following entities: The Ministry of the Interior and Safety which operates the KWEA, Korea Meteorological Administration, and the general public.

이 연구에서는 재난문자에 대한 뉴스 건수와 연관어에 대해 알아보았다. 뉴스는 한국언론진흥재단 뉴스 빅데이터 시스템인 빅카인즈를 활용하여 수집하였고, 연간 게재 기사, 재난종류에 따른 뉴스 빈도, 지진과 비 지진 간 뉴스 빈도, 연관어에 대한 분석을 실시하였다. 조사 결과에 따르면, '재난문자'관련 뉴스가 2016년에 182건으로 전년대비 약 20배 증가하는 성장세를 보였다. 재난문자 뉴스는 2016년 이래로 꾸준히 높은 수치를 보였다. 2016년은 지진의 비중이 매우 높았지만 2017년과 2018년은 지진의 비중이 낮아지고 비지진의 비중이 높아지는 것으로 나타났다. '재난문자' 연관어는 행정안전부(국가안전처, 행안부 포함)가 가장 비중 있게 다루어졌고, 그 다음으로 기상청과 국민도 비중 있게 다루어진 용어로 나타났다.

Keywords

References

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