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An Analysis of the Relationship between Public Opinion on Social Bigdata and Results after Implementation of Public Policies: A Case Study in 'Welfare' Policy

소셜 빅데이터 기반 공공정책 국민의견 수렴과 정책 시행 이후 결과 관계 분석: '복지' 정책 사례를 중심으로

  • Kim, Tae-Young (Graduate School of Archives and Records Management, Chonbuk National Universtity) ;
  • Kim, Yong (Department of Information Science, Chonbuk National Universtity) ;
  • Oh, Hyo-Jung (Graduate School of Archives and Records Management, Chonbuk National Universtity)
  • 김태영 (전북대학교 대학원 기록관리학과) ;
  • 김용 (전북대학교 문헌정보학과) ;
  • 오효정 (전북대학교 대학원 기록관리학과)
  • Received : 2017.01.02
  • Accepted : 2017.03.20
  • Published : 2017.03.28

Abstract

Horizon scanning that one of the methods for future prediction is adaptable way of establishing the policy strategy based on big data. This study aims to understand the social problems scientifically utilized horizon scanning technique, and contribute to public policy formulation based on scanning analysis. In this paper, we proposed a public opinion framework for public policy based on social bigdata, and then confirmed the feasibility this framework by analysis of the relationship between public opinion and results after implementation of public policy. Consequently, based on the analysis, we also drew implications of policy formulation about 'free childcare for under 5-years of age' as an object of study. The method that collects public opinion is very important to effective policy establishment and make contribution to constructing national response systems for social development.

Keywords

Social Bigdata;Horizon Scanning;Welfare Policy;Free Childcare Policy;Digital Convergence

Acknowledgement

Supported by : 한국연구재단

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