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논문 기본 정보

자료유형
학술저널
저자정보
노승국 (한국원자력연구원)
저널정보
한국원자력학회 Nuclear Engineering and Technology Nuclear Engineering and Technology 제49권 제4호
발행연도
2017.6
수록면
850 - 854 (5page)

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Public acceptance of nuclear power is important for the government, the major stakeholderof the industry, because consensus is required to drive actions. It is therefore no coincidencethat the governments of nations operating nuclear reactors are endeavoring toenhance public acceptance of nuclear power, as better acceptance allows stable powergeneration and peaceful processing of nuclear wastes produced from nuclear reactors. Pastresearch, however, has been limited to epistemological measurements using methods suchas the Likert scale. In this research, we propose big data analysis as an attractive alternativeand attempt to identify the attitudes of the public on nuclear power. Specifically, weused common big data analyses to analyze consumer opinions via SNS (Social NetworkingServices), using keyword analysis and opinion analysis. The keyword analysis identifiedthe attitudes of the public toward nuclear power. The public felt positive toward nuclearpower when Korea successfully exported nuclear reactors to the United Arab Emirates. With the Fukushima accident in 2011 and certain supplier scandals in 2012, however, theimage of nuclear power was degraded and the negative image continues. It is recommendedthat the government focus on developing useful businesses and use cases ofnuclear power in order to improve public acceptance.

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