메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
Dhiman Chattopadhyay (Lamar University) Sriya Chattopadhyay (Bowling Green State University)
저널정보
한국언론학회 Asian Communication Research Asian Communication Research Vol.16 No.1
발행연도
2019.5
수록면
105 - 138 (34page)
DOI
10.20879/acr.2019.16.1.105

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
Previous studies have found the presence of colorism, especially a bias toward fair-skinned women in India’s newspaper matrimonial advertisements where fair-complexioned women are considered more beautiful than those with a darker skin complexion. Most matrimonial advertisements in newspapers are posted by family elders such as parents of prospective brides. This study explored if the rise of online matrimonial portals has empowered marginalized members of families such as prospective brides by giving them greater access to, and control over, posting matrimonial ads, and whether who posts these ads has made a difference to how women are projected in the online ads. Textual analysis of 150 online matrimonial ads indicated that younger women such as would-be brides posted more ads in online media, compared to older family members. Further, irrespective of who posted the ads, there was less overt focus on physical attributes of women such as fairness of skin, but colorism was present in more subtle forms. Finally, the online ads posted by both prospective brides, and their parents, were unable to entirely break free from shackles of socially constructed patriarchal norms where women’s physical attributes such as fair skin are considered critical qualities. Findings were consistent with the tenets of Critical Race Theory that colorism is an ingrained feature of social systems and is constantly negotiated based on a group’s own social interests.

목차

Abstract
Introduction
Literature Review
Method
Discussion & Conclusion
References

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2019-070-000716051