The Journal of Korean Institute of Information Technology (한국정보기술학회논문지)

Korean Institute of Information Technology (한국정보기술학회)
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Issue Survival Cycle Analysis of Social Disasters in Social Media

소셜미디어에서의 사회재난 이슈 생존 주기 분석

  • 유호선 (전북대학교 기록관리학과) ;
  • 명현 (전북대학교 생태조경디자인학과) ;
  • 오효정 (전북대학교 기록관리학과)
  • Received : 2017.05.11
  • Accepted : 2017.06.01
  • Published : 2017.07.31
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Abstract

This study aims to explore the characteristics of big social disasters mentioned in social media in terms of issue survival cycle. During last 10 years, the most biggest 10 disaster cases were selected and tweets related to these disasters were automatically collected. Based on analysis of tweets, the survival period of disaster issues were calculated. And then, through the establishment and verification of hypotheses, the factors influencing the survival period were derived and the influence of the factors was analyzed. As a result, the survival period of the disaster issue varied widely with disaster characteristics, the frequency of tweets, news reports, and user interest. Especially, it was found that the most powerful factor in determining the survival period was damage scale of victims. Compared with preceeding studies, this study is meaningful because it is based on the analysis not of news reports but of social media which show what real public opinion about social issues is. The derived factors and influences may subsequently be utilized as a basis for quality research and gathering public opinion in establishing disaster policies.

본 연구는 소셜미디어에서 나타나는 대형 사회재난과 관련한 이슈들을 이슈 생존 주기의 관점에서 살펴보고자 한다. 실증분석을 위해 최근 10년간 발생한 대형 사회재난 10건을 선정하였고, 각각의 재난이 언급된 트윗을 추출하였다. 이를 토대로 재난 이슈별 생존 기간을 산출하였고 가설의 수립 및 검증을 통하여 생존 기간에 영향을 미치는 요인을 도출하고 영향력을 분석하였다. 분석 결과, 재난 특성에 따라 이슈 생존 기간은 재난별로 상이했으며, 트윗 빈도, 뉴스 보도, 이용자 관심도, 피해 규모 등에 영향을 받는 것으로 나타났다. 특히 인명 피해 규모의 경우 생존 기간을 결정짓는 가장 강력한 요인으로 밝혀졌다. 기존 연구들과 달리 본 연구에서는 언론보도매체가 아닌 소셜미디어를 분석함으로써 실제 여론이 어떤 특성으로 나타났는지 확인했다는 점에서 의미가 있으며 도출된 요인 및 영향력은 이후에 질적 연구와 재난 정책 수립과정에서 여론 수렴을 위한 근거로도 활용될 수 있다.

Keywords

Acknowledgement

Supported by : 전북대학교, 한국연구재단

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