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An Analysis of Domestic Newspaper Articles on 5.18 using the Bigkinds System
- park51566@jnu.ac.kr
Hyunji Park (Chonnam National University)
Youngbum Gim (Yonsei University)
Abstract
This study attempted to analyze newspaper articles related to May 18 through frequency analysis and network analysis using news data related to May 18 for about 30 years from 1990 to 2022 at the Korea Press Foundation’s Big Kinds. Specifically, quantitative change trends were examined by analyzing the amount of articles by period and region, and the connection structure between major keywords by the regime was explored through network analysis by regime using co-appearance keywords. As a result of the analysis, it was found that 2019 had the largest amount of coverage, which had many social issues in time, and the Jeolla-do region had the largest amount of coverage in the region. And as a result of network analysis, there were differences in words related to May 18 in news data according to the perception and policy of the regime toward May 18. As a result of synthesizing the analysis of May 18 news data, it was confirmed that May 18 was becoming a democratic movement over time regardless of region, but at the same time, the distortion of May 18 was not resolved.
- keywords
- May 18 Democratic Uprising, news analysis, news big data, Big Kinds, text mining
- Submission Date
- 2024-02-14
- Revised Date
- 2024-02-28
- Accepted Date
- 2024-03-12
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