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http://dx.doi.org/10.14400/JDC.2021.19.12.029

Comparative Analysis of Low Fertility Policy and the Public Perceptions using Text-Mining Methodology  

Bae, Giryeon (Transdisciplinary Major in Learning Health Systems, Dept. of Health Science, Graduate School, Korea University)
Moon, HyunJeong (Dept. of Public Administration Hankuk University of Foreign Studies)
Lee, Jaeil (Dept. of Culture, Tourism & Content, Kyung Hee University)
Park, Mina (Dept. of ICT Environmental Engineeing, Hansei University)
Park, Arum (Dept. of Big Data & Business Management, Yong-In Arts&Science University)
Publication Information
Journal of Digital Convergence / v.19, no.12, 2021 , pp. 29-42 More about this Journal
Abstract
As the low fertility intensifies in Korea, this study investigated fundamental differences between the government's low fertility policy and public perception of it. To this end, we selected four times 'Aging Society and Population Policy' documents and news comments for two weeks immediately after announcement of the third and fourth Policy as analysis targets. Then we conducted word frequency analysis, co-occurrence analysis and CONCOR analysis. As a result of analyses, first, direct childcare support during the first and second periods, and a social structural approach during third and fourth periods were noticeable. Second, it was revealed that both policies and comments aim for the work-family compatibility in 'parenting'. Lastly it was showed public interest in environment of raising children and the critical mind to effectiveness of the policy. This study is meaningful in that it confirmed the public perception using big data analysis, and it will help improve the direction for the future low fertility policy.
Keywords
Low fertility; Aging Society and Population Policy; Public Perception; Text-Mining; Big-Data;
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