인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 저자정보
피인용 0
초록·키워드
Foreign news coverage is the primary channel through which most overseas publics encounter a country, yet national image research has typically relied on single favorability or sentiment scores and on single-country, single-event designs. This study constructed a balanced panel of Korea-related coverage from eighteen leading news outlets in the United States, China, and Japan between July 2023 and June 2025, and compared 33,409 articles along three dimensions: coverage domain, image valence, and referent of evaluation. Classification used a large language model pipeline validated through dual human coding, cross-model checks, and design-weighted measurement error correction. First, cross-national differences in domain composition were large overall (V = .252), with similar cross-national differentiation across periods. Second, evaluation diverged within the same domain: only Chinese coverage over-represented security negativity, cultural positivity dominant in the U.S. and Japanese press was suppressed in China, and economic evaluation ran in opposite directions in Japan and China. Third, during the martial law crisis coverage in all three country panels shifted toward politics while evaluative trajectories remained country-specific, distinguishing shared issue attention from evaluative refraction. The study operationalizes the news-mediated national image as a compositional structure and offers a validated template for cross-national large language model classification.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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