Big Data Analysis of Public Acceptance of Nuclear Power in Korea

被引:31
|
作者
Roh, Seungkook [1 ]
机构
[1] KAERI, Policy Res Div, 989-111 Daedeok Daero, Daejeon 34057, South Korea
关键词
Big Data Analysis; Public Acceptance of Nuclear; Energy Policy;
D O I
10.1016/j.net.2016.12.015
中图分类号
TL [原子能技术]; O571 [原子核物理学];
学科分类号
0827 ; 082701 ;
摘要
Public acceptance of nuclear power is important for the government, the major stakeholder of the industry, because consensus is required to drive actions. It is therefore no coincidence that the governments of nations operating nuclear reactors are endeavoring to enhance public acceptance of nuclear power, as better acceptance allows stable power generation and peaceful processing of nuclear wastes produced from nuclear reactors. Past research, however, has been limited to epistemological measurements using methods such as the Likert scale. In this research, we propose big data analysis as an attractive alternative and attempt to identify the attitudes of the public on nuclear power. Specifically, we used common big data analyses to analyze consumer opinions via SNS (Social Networking Services), using keyword analysis and opinion analysis. The keyword analysis identified the attitudes of the public toward nuclear power. The public felt positive toward nuclear power when Korea successfully exported nuclear reactors to the United Arab Emirates. With the Fukushima accident in 2011 and certain supplier scandals in 2012, however, the image of nuclear power was degraded and the negative image continues. It is recommended that the government focus on developing useful businesses and use cases of nuclear power in order to improve public acceptance. (C) 2017 Korean Nuclear Society, Published by Elsevier Korea LLC.
引用
收藏
页码:850 / 854
页数:5
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