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The Construction Of Women Drinking Issues In Network Media ——Take Sina.com And CCTV.com As Examples

Posted on:2022-11-06Degree:MasterType:Thesis
Country:ChinaCandidate:D LuFull Text:PDF
GTID:2518306608964939Subject:Library Science and Digital Library
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Drinking alcohol is one important way for modern people to communicate and relax.In recent years,there is an obvious trend for the increase of the number of women drinking alcohol.Women drinking behavior has also become very common.However,currently there has been little media coverage and attention on women drinking issue.This paper takes 144 reports on women drinking issues from Sina.com and CCTV.com in 10 years from March 6,2012 to March 6,2022 as samples.Content analysis method and text analysis method are adopted to analyze the similarities and differences of two media in Reporting Tendency,Reporting Subject.Reporting Object,Reporting Source and Discourse Strategy.Based on these analysis,this study will further analyze the image of alcohol-related women created by Network media coverage,as well as the existing stigma and its causes.It is found that in terms of Reporting Tendency,there are more negative reports on women drinking issues for two media,which indicates that the overall objectivity and balance of reports on women drinking issues cannot be guaranteed,and the image of women involved in drinking is also relatively one-sided.Regarding Report Subject,media attention to women's health issues has focused on warning the public about the effects of alcohol consumption on women's fertility and unborn children,as well as on women's appearance.But two media also showed a big difference in the frequency of coverage of certain women drinking issues.Young women are the most-frequently covered and obvious Reporting Object in both media reporting.Most of reports targeted at them refer to negative reports.Concerning Reporting Source,CCTV.com,sponsored by CCTV and relying on the rich and authoritative resources of CCTV,is a comprehensive portal website and a representative national mainstream media.Its news comes not only from its own reports and comments,but also from official and unofficial media and local government media.Sina.com is a comprehensive commercial website qualified for news publishing.It can repost news from mainstream media and a large number of We-media accounts on its platform.The two media adopt different editorial policies in Discourse Strategy according to their own media attributes,thus highlighting their own media characteristics.CCTV.com uses relatively plain headlines and is more careful in the wording of headlines,showing a strong sense of social responsibility.However,as one of the four major business portals,Sina.com relies on the market to survive,so it lays more emphasis on creating topical,stimulating and explosive news events by using some headline tactics to attract the audience's attention.Both media rarely use quotes or quotes of alcohol-related women in most reports,but use negative wording to describe alcohol-related women,which strengthened the negative image of them.Reports also stigmatize women who drink alcohol,labeling them as "tough women"and "profligate",creating impulsive,violent and unfeminine alcohol-related women images,which makes audiences have negative impression on women involved in drinking.Women drinking behavior is subject to the social structure and the bondage of gender culture formed for long.The unequal gender culture embodied by the mass media continues to exert its influence,constantly deepening public's understanding of alcohol-related women.Their views about women drinking behavior are able to reproduce through continuous interaction between media and society.The purpose of this study is to better promote gender equality and social harmony by exploring the similarities and differences between different Network News in the construction of alcohol-related women images,as well as its stigmatization phenomenon.
Keywords/Search Tags:Women drinking issues, Network media, Stigmatization, Media construction
PDF Full Text Request
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