빅데이터를 활용한 정책분석의 방법론적 함의

Methodological Implications of Employing Social Bigdata Analysis for Policy-Making : A Case of Social Media Buzz on the Startup Business

In the creative economy paradigm, motivation of the opportunity based startup is a continuous concern to policymakers. Recently, bigdata anlalytics challenge traditional methods by providing efficient ways to identify social trend and hidden issues in the public sector. In this study the authors introduce a case study using social bigdata analytics for conducting policy analysis. A semantic network analysis was employed using textual data from social media including online news, blog, and private bulletin board which create buzz on the startup business. Results indicates that each media has been forming different discourses regarding government’s policy on the startup business. Furthermore, semantic network structures from private bulletin board reveal unexpected social burden that hiders opening a startup, which has not been found in the traditional survey nor experts interview. Based on these results, the authors found the feasibility of using social bigdata analysis for policy-making. Methodological and practical implications are discussed.