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http://dx.doi.org/10.14400/JDC.2017.15.3.17

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

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)
Publication Information
Journal of Digital Convergence / v.15, no.3, 2017 , pp. 17-25 More about this Journal
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;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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