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자료유형
학술저널
저자정보
저널정보
한국원자력학회 Nuclear Engineering and Technology Nuclear Engineering and Technology 제51권 제2호
발행연도
2019.1
수록면
626 - 630 (5page)

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After several significant nuclear accidents, public attitudes toward nuclear energy technologies and facilitiesare considered to be one of the essential factors in the national energy and electricity policymakingprocess of several nations that employ nuclear energy as their key energy resource. However,it is difficult to explore and capture such an attitude, because the majority of prior studies analyzedpublic attitudes with a limited number of respondents and fragmentary opinion polls. In order to supplementthis point, this study suggests a big data analyzing method with K-LIWC (Korean-LinguisticInquiry and Word Count), sentiment and query analysis methods, and investigates public attitudes,positive and negative emotional statements about nuclear energy with the collected data sets of wellknownsocial media and network services in Korea over time. Results show that several events andaccidents related to nuclear energy have consistent or temporary effects on the attitude and ratios of thestatements, depending on the kind of events and accidents. The presented methodology and the use ofbig data in relation to the energy industry is suggested as it can be helpful in addressing and exploringpublic attitudes. Based on the results, implications, limitations, and future research areas are presented.

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