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Topic Analysis of the “Right to be Forgotten” Using Text Mining
- shlee8028@pusan.ac.kr
Bon-Jin Koo
- bjkoo@pusan.ac.kr
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.
- keywords
- right to be forgotten, archival information services, text mining, topic modeling, LDA
- Submission Date
- 2022-05-15
- Revised Date
- 2022-05-16
- Accepted Date
- 2022-06-14
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