• Title/Summary/Keyword: Disaster News

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Analysis of Disaster News Contents on TV News Programs: Three Network TVs and JTBC's News Coverage of Sewol Ferry Disaster (방송 뉴스의 재난보도 콘텐츠에 대한 분석: 지상파 3사와 JTBC의 세월호 참사 보도를 중심으로)

  • Choi, Jinbong
    • The Journal of the Korea Contents Association
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    • v.16 no.12
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    • pp.539-550
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    • 2016
  • The news coverage of Sewol Ferry catastrophe has reprimanded from numbers of people because of false reports and mediamorphosis such as distorted news. Thus, the purpose of this study is to examine the news coverage of television news programs about the Sewol Ferry catastrophe. Specifically, this study was conducted to figure out problems with the disaster news reports of several broadcasting stations such as, KBS, MBC, SBS and JTBC. Furthermore, the study also explores about how they reported without following the rules of disaster news coverage and policy of disaster news coverage by content analysis.

Analysis of Disaster News Frame of Host Broadcaster for Disaster Broadcasting Services : Focusing on Zika Virus News (국내 재난 주관방송사의 재난보도 프레임 분석 : 지카 바이러스 보도를 중심으로)

  • Choi, Mideum;Chung, Heesoo
    • The Journal of the Korea Contents Association
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    • v.18 no.7
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    • pp.609-619
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    • 2018
  • Domestic broadcasting companies are obliged to provide the disaster information quickly to protect the public from the disaster, and people can prepare the disaster. Especially, Korea Broadcasting System (KBS) has a duty to deliver disaster news more quickly and accurately than other broadcasting companies because it is designated as a host broadcaster for disaster broadcasting services in accordance with Article 43 of the Broadcasting Act. This study examined how the KBS deals with social disaster news related to Zika virus, and evaluated whether they used the frames in a timely manner to help people prepare a disaster. Based on the results of this analysis, this study tried to suggest practical implications for measures to improve the efficiency and reliability of disaster news report.

Trend Analysis of Complex Disasters in South Korea Using News Data (뉴스데이터를 활용한 국내 복합재난 발생 동향분석)

  • Eun Hye Shin;Do Woo Kim;Seong Rok Chang
    • Journal of the Korean Society of Safety
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    • v.38 no.6
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    • pp.50-59
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    • 2023
  • As the diversity of disasters continues to increase, the concept of "complex disasters" has gained prominence in various policies and studies related to disaster management. However, there has been a certain limitation in the availability of the systematic statistics or data in advancing policies and research initiatives related to complex disasters. This study aims to analyze the macro-level characteristics of the complex disasters that have occurred domestically utilizing a 30-year span of a news data. Initially, we categorize the complex disasters into the three types: "Natural disaster-Natural disaster", "Natural disaster-Social disaster", and "Social disaster-Social disaster". As a result, the "natural diaster-social disaster" type is the most prevalent. It is noted that "natual disaster-natural disaster" type has increased significantly in recent 10 years (2011-2020). In terms of specific disaster types, "Storm and Flood", "Collapse", "Traffic Accident", "National Infrastructure Paralysis", and "Fire⋅Explosion" occur the most in conjunction with other disasters in a complex manner. It has been observed that the types of disasters co-ocuuring with others have become more diverse over time. Parcicularly, in recent 10 years (2011-2020), in addition to the aforementioned five types, "Heat Wave", "Heavy Snowfall⋅Cold Wave", "Earthquake", "Chemical Accident", "Infectious Disease", "Forest Fire", "Air Pollution", "Drought", and "Landslide" have been notable for their frequent co-occurrence with other disasters. These findings through the statistical analysis of the complex disasters using long-term news data are expected to serve as crucial data for future policy development and research on complex disaster management.

Development of a Method for Measuring Social Interest Index on Disaster Using News Data (뉴스 데이터를 활용한 재난에 대한 사회적 관심 측정방법 개발)

  • Eun Hye Shin;Do Woo Kim;Jae Hak Chung;Seong Rok Chang
    • Journal of the Korean Society of Safety
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    • v.38 no.5
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    • pp.27-35
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    • 2023
  • Social interest in disasters is a significant factor in shaping disaster management policies, enabling the enhancement of disaster safety management and prevention activities according to the specific needs of society. However, in the past, there were limits to measuring which disasters society was particularly interested in. Hence, in this study, a method of measuring social interest using news data was devised. Specifically, we classifed news reports into natural and social disasters, creating a comprehensive Social Interest Index (SII) on disasters covering from 2011 to 2021. Additionally, we quantitatively compared the SII with budgets allocated to disaster-related efforts. Our primary findings are as follows: First, our methodology not only distinguishes natural disasters from social disasters but also identifies emerging areas of societal concern. Second, in recent years (2014-2021), social disasters gained more attention than natural disasters. Third, the disaster safety budget accounted for approximately 3.5% of Korea's total budget, closely paralleling the SII we measured. However, exceptions were noted in cases such as heavy snow, cold waves, and heat waves, where the SII remained high, but the disaster safety budget was relatively low, indicating potential outliers. The findings of this research are projected to contribute to the improvement of national disaster management policies by providing a quantitative measure of social interest in disaster, enabling more informed and effective policy decisions.

KDPA NEWS

  • 한국방재협회
    • Disaster Prevention Review
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    • v.19 no.2
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    • pp.101-107
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    • 2017
  • PDF

KDPA NEWS

  • 한국방재협회
    • Disaster Prevention Review
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    • v.19 no.5
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    • pp.104-111
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    • 2017
  • PDF

KDPA NEWS

  • 한국방재협회
    • Disaster Prevention Review
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    • v.20 no.1
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    • pp.67-77
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    • 2018
  • PDF