Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
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Comparative Analysis of Low Fertility Policy and the Public Perceptions using Text-Mining Methodology

텍스트 마이닝을 활용한 저출산 정책과 대중인식 비교

  • 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)
  • 배기련 (고려대학교 대학원 보건과학과 러닝헬스시스템융합전공) ;
  • 문현정 (한국외국어대학교 행정학과) ;
  • 이재일 (경희대학교 일반대학원 문화관광콘텐츠학과) ;
  • 박미나 (한세대학교 일반대학원 ICT 환경공학과) ;
  • 박아름 (용인예술과학대학교 빅데이터 경영학과)
  • Received : 2021.09.15
  • Accepted : 2021.12.20
  • Published : 2021.12.28
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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.

한국의 저출산 심화에 따라 본 연구는 정부의 저출산 대응정책과 그에 대한 대중인식을 비교하여 근본적인 차이점을 밝히고자 했다. 이를 위해 네 차례의 '저출산·고령사회 기본계획'과 제3·4차 기본계획 발표 직후 2주간의 뉴스 댓글을 분석대상으로 선정하여, 빈도분석, 동시출현단어 분석, 구조적 등위성 분석을 실시하였다. 정책문서 빈도분석결과 제1·2차 시기는 직접적인 보육지원이, 제3·4차 시기부터는 사회구조적인 접근이 눈에 띄었다. 동시출현단어 분석에서는 정책과 댓글 모두 '육아'에서 일과 가정의 양립을 지향하였다. '결혼'과 '출산'의 경우 댓글은 연속성, 정책은 단절성이 두드러지며 특히 주거와 고용문제에서 큰 차이가 있었다. 댓글의 구조적 등위성 분석 결과에서는 대중들의 자녀 양육환경에 대한 관심, 정책 실효성에 대한 문제의식을 확인할 수 있었다. 본 연구는 빅데이터를 활용해 대중들의 인식을 확인하였다는 점에서 의의를 가지므로, 이에 근거한 정책 개선 등 향후 저출산 대응이 나아가야 할 방향을 수립하는 데 도움을 줄 수 있을 것이다.

Keywords

Acknowledgement

This work is the result of the 2021 Data Youth Campus Project hosted by the Ministry of Science and ICT and supervised by the Korea Data Industry Promotion Agency. Also, this work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea(NRF-2020S1A5B8103855).

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