Earticle

초록

영어

Full digital monitoring makes privacy transparent, and information security problems and information ethics problems are increasingly emerging due to the analytical mining of big data technologies. Many literature review studies may help set future research directions, but researchers' abundant expertise and professional experience are required, and research results mainly rely on the researcher's perception and subjective experience judgment. On the other hand, it is difficult to understand the subject of the field due to the variety of related research contents in information privacy and the complicated research direction. Therefore, in this study, related domestic academic papers were collected in the "Information Privacy" published between 2015 and 2021 in RISS, and the abstract data was used for analysis. By combining LDA topic modeling and network analysis with textome, research issues and trends in the current information privacy field can be quantitatively presented to some extent, and related researchers can understand and recognize the development context of the information privacy field and provide a basis for selecting research directions.

목차

Abstract
서론
이론적 배경
2.1 정보 프라이버시
2.2 텍스트 마이닝
연구방법
참고문헌

저자

• 로영영 [ 부산대학교 경영학과 ]
• 김종기 [ 부산대학교 경영학과 ]

참고문헌