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Topic Analysis of the "Right to be Forgotten" Using Text Mining

텍스트마이닝을 활용한 "잊힐 권리"의 토픽 분석

  • Received : 2022.05.15
  • Accepted : 2022.06.14
  • Published : 2022.06.30

Abstract

This study examined the issues and characteristics that appeared in news and journal articles related to the 'right to be forgotten' using text mining analysis. Data for analysis were collected from 2010 to 2020 with the keyword 'right to be forgotten'. Keyword analysis and topic modeling analysis were performed on the collected data. As a result, in the last 10 years the issues about 'right to be forgotten' are not much different in news and journal articles and the approaches also are similar. However, it confirmed common issues and the partial difference between news and journal articles through comparison. Therefore in Archives and Records Management Studies, it is necessary to discuss derived in this study. In particular common issues are considered first but if there are differences in issues, it is needed to discuss them in various ways. This study is meaningful to understand the meaning and to draw issues that may arise in the future of the 'right to be forgotten'. The results of this study will contribute to be variously discussed on the 'right to be forgotten' in Archives and Records Management Studies.

본 연구는 잊힐 권리와 관련한 뉴스 기사와 학술지 게재 논문을 대상으로 텍스트마이닝 분석을 활용해 각 문서 내에 나타난 논점과 특성을 살펴보았다. 분석을 위해 '잊힐 권리'와 '잊혀질 권리' 키워드를 검색어로 하여 2010년부터 2020년까지의 데이터를 수집하였다. 수집된 데이터를 대상으로 키워드 분석과 토픽모델링 분석을 수행한 결과, 지난 10년간 뉴스 기사와 학술지 논문에서 다루어진 쟁점은 크게 다르지 않으며, 접근방법 또한 유사한 것으로 나타났다. 다만 뉴스 기사와 학술지 논문 간 비교를 통해 이들 간 공통적으로 나타나는 쟁점과 부분적인 쟁점의 차이가 있음을 확인하였다. 따라서 본 연구에서 도출된 쟁점을 중심으로 기록관리학 분야에서도 적극적인 논의가 이루어져야 할 필요가 있으며, 공통적인 쟁점들을 우선적으로 고려하되, 쟁점상 이견이 존재하는 경우, 이를 다각적으로 논의하는 것이 필요하다고 볼 수 있다. 본 연구는 국내 기록관리학계에서 잊힐 권리와 관련된 논의가 이루어지고 있지 않은 현재의 상황에서 기록관리학 분야에서 잊힐 권리의 의미와 향후 발생할 수 있는 이슈를 도출해볼 수 있었다는데 의의가 있으며, 본 연구의 결과를 중심으로 기록관리학 분야에서 잊힐 권리에 대한 다양한 논의가 이루어지기를 기대한다.

Keywords

References

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