Forecasting the Future Korean Society: A Big Data Analysis on &#039;Future Society&#039;-related Keywords in News Articles and Academic Papers (빅데이터를 통해 본 한국사회의 미래: 언론사 뉴스기사와 사회과학 학술논문의 ‘미래사회’ 관련 키워드 분석)

Mun Cho Kim (김문조); Wang Won Lee (이왕원); LEE HYE SOO (이혜수); Byung Jo Suh (서병조)

doi:10.22693/NIAIP.2018.25.4.037

Forecasting the Future Korean Society: A Big Data Analysis on 'Future Society'-related Keywords in News Articles and Academic Papers

Informatization Policy
Abbr : 정보화정책
2018, 25(4), pp.37-64
DOI : 10.22693/NIAIP.2018.25.4.037
Publisher : NIA
Research Area : Social Science > Public Policy
Received : August 6, 2018
Accepted : September 18, 2018

Mun Cho Kim ¹, Wang Won Lee ², LEE HYE SOO ¹, Byung Jo Suh ³

¹강원대학교
²고려대학교 응용문화연구소
³前 한국정보화진흥원

Accredited

ABSTRACT

This study aims to forecast the future of the Korean society via a big data analysis. Based upon two sets of database - a collection of 46,000,000 news on 127 media in Naver Portal operated by Naver Corporation and a collection of 70,000 academic papers of social sciences registered in KCI (Korea Citation Index of National Research Foundation) between 2005-2017, 40 most frequently occurring keywords were selected. Next, their temporal variations were traced and compared in terms of number and pattern of frequencies. In addition, core issues of the future were identified through keyword network analysis. In the case of the media news database, such issues as economy, polity or technology turned out to be the top ranked ones. As to the academic paper database, however, top ranking issues are those of feeling, working or living. Referring to the system and life-world conceptual framework suggested by Jürgen Habermas, public interest of the future inclines to the matter of ‘system’ while professional interest of the future leans to that of ‘life-world.’ Given the disparity of future interest, a 'mismatch paradigm' is proposed as an alternative to social forecasting, which can substitute the existing paradigms based on the ideas of deficiency or deprivation.

KEYWORDS

future, news article, academic paper, mismatch, big data, Korean society

Citation status

* References for papers published after 2023 are currently being built.

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This paper was written with support from the National Research Foundation of Korea.

KJCKorea
Journal Central

Informatization Policy 2023 KCI Impact Factor : 4.08

Forecasting the Future Korean Society: A Big Data Analysis on 'Future Society'-related Keywords in News Articles and Academic Papers

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Informatization Policy 2023 KCI Impact Factor : 4.08

Forecasting the Future Korean Society: A Big Data Analysis on 'Future Society'-related Keywords in News Articles and Academic Papers

ABSTRACT

KEYWORDS

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* References for papers published after 2023 are currently being built.