Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
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Study on Potential Topics of the MyData and Data Transactions Using LDA Topic Modeling

국내 마이데이터 태동과 데이터 거래에 관한 잠재적 주제 분석

  • Cho, Ji Yeon (Communications Policy Research Center, Yonsei University) ;
  • Lee, Bong Gyou (Graduate School of Information, Yonsei University)
  • 조지연 (연세대학교 방송통신정책연구소) ;
  • 이봉규 (연세대학교 정보대학원)
  • Received : 2022.01.09
  • Accepted : 2022.03.20
  • Published : 2022.03.28
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Abstract

With the recent full-fledged MyData service, interest in the use of personal data is increasing. However, studies on MyData are still in the early stages, focusing on legal and institutional discussions, and studies from a comprehensive perspective are insufficient. Therefore, this study aimed at finding the potential topics formed by social discussions by analyzing news data from 2018 to the present. News data analysis using LDA topic modeling were conducted and 6 potential topics including digital transformation in finance, scope of Mydata business license, amendments and data-related laws, safe use of big data, data economy promotion policy and strategy of the financial industry were derived. This study has significance in that it comprehensively viewed the issues that emerged with the MyData and deriving gaps in previous discussion. Future research is expected to identify changes after the launch of MyData service and provide specific implications through research by specific industries.

최근 마이데이터 사업이 본격화됨에 따라 개인데이터 활용에 관한 관심은 더욱 증가하고 있다. 그러나 마이데이터에 관한 연구들은 아직까지 초기 단계로서, 법·제도적 논의에 집중되어 있으며 종합적인 시각에서 마이데이터를 조망한 연구는 부족한 상황이다. 이에 본 연구는 데이터거래에 관한 논의가 본격화된 2018년부터 현시점까지의 뉴스를 분석하여 사회적 논의가 형성한 잠재적 주제를 분석하고자 하였다. LDA 토픽모델링 기법을 통한 뉴스데이터 분석을 통하여 마이데이터 기반 금융혁신, 마이데이터 사업자 지위 및 허가, 데이터 관련 법 개정, 안전한 데이터 활용, 데이터 경제활성화 정책, 사업자의 전략 등 6개의 잠재적 주제를 도출하여 제시하였다. 본 연구는 마이데이터 태동과 함께 나타난 사회적 이슈를 종합적으로 조망하고 관련 논의의 공백을 도출하여 시사점을 제시한 의의가 있다. 향후 연구에서는 마이데이터 서비스 개시 이후의 변화를 파악하고, 마이데이터 산업별 심도깊은 연구를 통하여 구체적인 시사점을 제공하길 기대한다.

Keywords

Acknowledgement

This work was supported(in part) by the Yonsei University Research Fund(Post Doc. Researcher Supporting Program) of 2020 (project no.: 2020-12-0068)

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