KCI등재
뉴스 댓글 빅데이터 분석을 통한 청소년 정책에 대한 연구 = A Study on Youth Policy through the Analysis of News Comments Big Data
저자
발행기관
학술지명
권호사항
발행연도
2023
작성언어
Korean
주제어
등재정보
KCI등재
자료형태
학술저널
수록면
177-203(27쪽)
제공처
· Research topics: This paper studied the public's perception and interest in youth policy in Korea through big data analysis of comments in news articles on youth policy. In particular, by dividing and comparing samples before and after COVID-19, a plan for the direction of policy establishment for adolescents in the post-COVID-19 era was presented.
· Research background: Recently, as various social youth problems have been raised, youth policies to solve them have become an issue. Exogenous problems such as rapid changes in the environment faced by teenagers and endogenous problems of the surrounding people of adolescents work in combination, resulting in youth problems. In order for adolescents who are still socially immature and do not have a sense of belonging to them to grow safely and correctly, reasonable policies for adolescents are needed. In particular, in order to establish a correct youth policy, it is most important to establish a socially agreed policy that reflects the opinions of many people.
· Differences from prior research: This study conducted a comment big data analysis of news articles on youth policy and presented objective research results on how the public perceives youth policy. Meaningful information on youth policy was provided by comparing and analyzing the research results by dividing the sample period before and after COVID-19 using TF-IDF analysis and network analysis.
· Research method: For analysis, data were collected by crawling the comments of articles searched using 'Youth Policy' as a keyword on NAVER News. The analysis period is a total of five years from January 1, 2018 to December 31, 2022, and Rver 3.6.3, an open source data analysis tool, was used to collect and analyze such unstructured data. The collection of text data was classified into two groups: 2018, 2019, and 2020, 2021, and 2022 after the COVID-19 point, and the analysis was performed. In this study, TF-IDF analysis and network analysis were used as unstructured text analysis methods.
· Research results: First, according to the TF-IDF analysis before the COVID-19 point of view, Koreans think that youth policy should be educated and supported through schools and showed interest in policies to support youth, youth, and children through various projects. The TF-IDF analysis after the COVID-19 point showed that Koreans are consistently thinking about education and support for youth policies as before COVID-19, and that they are still interested in policies to support youth, youth, and children through various projects. Second, as a result of the network analysis of the pre-COVID-19 point, it was found that youth policy was also implemented in connection with Cheong Wa Dae and children's policies, and the public's interest in it was also high. And as the number of working adolescents increased, it was found that interest in support policies for them was high. On the other hand, as a result of network analysis on the post-COVID-19 point of view, compared to the public's interest in youth policy before COVID-19, Koreans were still interested in education, support, and activities and participation through schools. After COVID-19, interest in safety also increased, and the word family was exposed considerably.
· Contribution points and expected effects: First, it is expected to help establish youth policy by presenting objective research results through big data analysis of the public's perception of youth policy. Second, by providing the results of big data analysis by dividing it into pre-COVID-19 and post-COVID-19 points, the results of this study are expected to be meaningful information on the direction of Korea's youth policy in the future post-COVID-19 era.
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