Studying Online Public Debate on Freedom of the Press in South Korea : Natural Language Processing of Tweets
한국 언론의 자유에 대한 온라인 공개 토론 연구: 트윗의 자연어 처리
- 주제어 (키워드) press freedom , media freedom , anti-press discourse , hate speech , Natural Language Processing , computational linguistics
- 발행기관 서강대학교 일반대학원
- 지도교수 조은경
- 발행년도 2023
- 학위수여년월 2023. 8
- 학위명 석사
- 학과 및 전공 일반대학원 글로벌한국학
- 실제 URI http://www.dcollection.net/handler/sogang/000000076406
- UCI I804:11029-000000076406
- 본문언어 영어
- 저작권 서강대학교 논문은 저작권 보호를 받습니다.
초록 (요약문)
The present study experimentally sets out to investigate, through analysis of public online discourse with Natural Language Processing techniques, press freedom since Yoon Suk-yeol took office in May 2022 as President of the Republic of Korea. By performing topic modeling with LDA, keyword extraction with TF-IDF and clustering with K-means to a dataset of posts scraped from social media Twitter, we found that there is the public perception that press freedom seems to have started deteriorating in the short period of time Yoon has been President. The conflict seems to be related around the antagonistic relationship between President Yoon and the public broadcaster Munwha Broadcasting Corporation (MBC). Among the findings, we detected that the existing anti-press discourse persists in a notably polarized online environment.
more