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.
초록·키워드
This study aims to examine the degree and patterns of hate speech against foreign migrant workers and Korean Chinese in Korea. We gathered news articles about the two groups posted from January 2005 to December 2014 and used text mining analysis to examine the words in the news articles with the largest number of comments. Results show that the most common type of discriminatory and hateful expressions for the two groups was crime-related one and the next common type was economy-related one. However, there were significant inter-group differences. Foreign migrant workers were more frequently viewed as economic threats to native Koreans and racial and nationality issues were more frequently mentioned. By contrast, Korean Chinese were more likely to be related with crime or fear of crime and ethnicity or compatriot issues were more commonly reported. The level of discriminatory perceptions and hateful expressions was stronger against Korean Chinese.
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.
최근 본 자료 전체보기
UCI(KEPA) : I410-ECN-0101-2018-309-003326506
