Item Infomation

Full metadata record
DC FieldValueLanguage
dc.contributor.authorHannah Feldshuhvi
dc.date.accessioned2024-08-22T03:05:44Z-
dc.date.available2024-08-22T03:05:44Z-
dc.date.issued2018-
dc.identifier.citationAsian Journal of Communication. - 2018. - Vol.28, No.1. - P.38 - 54vi
dc.identifier.urihttp://elib.hcmussh.edu.vn/handle/HCMUSSH/140810-
dc.description.abstractIn the last 10 years, the term ‘leftover women’ (剩女)—educated, unmarried women over the age of 27—has emerged as a visible stereotype in popular consciousness in China. Despite the surplus of men that is a result of China’s One Child Policy, women are blamed for marriage market challenges through sexist narratives and terminology. While some scholarship treats ‘leftover women’ as an accepted demographic phenomenon with clear causes and impacts, it can also be viewed as an artificial construct created through socially generated gender stereotypes and furthered through media messaging. This article examines and compares sociological research on Chinese marriage patterns, presentations of ‘leftover women’ in contemporary Chinese media, and independent interview findings to understand the role of media in the construction of gender discourse and the perpetuation of gender stereotypes. These rigid concepts of gender roles and ideal womanhood have far-flung consequences, both for women who internalize these misperceptions and for the social hierarchies supported by antiquated gender constructs.vi
dc.language.isoenvi
dc.publisherAsian Languages and Cultures, International Relations, University of Michigan, Ann Arbor, MI, USAvi
dc.subjectLeftover womenvi
dc.subjectGender discoursevi
dc.subjectMarriage practicesvi
dc.subjectSexismvi
dc.subjectLeftover womenvi
dc.subjectFemininity in Chinavi
dc.subjectMedia representationsvi
dc.titleGender, media, and myth-making: constructing China’s leftover womenvi
dc.typeArticlevi
Appears in CollectionsBài trích

Files in This Item:
Thumbnail
  • Gender media and myth-making constructing China s leftover women.pdf
      Restricted Access
    • Size : 1,49 MB

    • Format : Adobe PDF