Abstract
The analytical paper mainly deals with the questions how the image of Sister Phoenix, one of the most “popular” ugly stars in China is narrated, and how it is reconstructed and circulated by the media. In the paper, the author utilize multiple analytical devices, such as Gee’s seven building tasks (2010), Bahktin’s dialogical processes, Fairclough’s (2003) approaches to critical discourse analysis and Couldry’s (2010) theories about media discourse. The aim of the paper is not only to explore the reason why her self-narration is destined to attract the interest of the media and the modern Chinese society but also aims at seeking how the media constantly helps producing new categories of life in front of the audience.
Highlights
In 2009, Sister Phoenix rose to fame as a marriage-seeker in central areas of Shanghai
The analysis primarily aims at resolving the following questions: how does Sister Phoenix enable her image potentially eligible for public attention? How the media reproduces and utilizes her image as a channel for disseminating dominating voices of the society? What is the significant of the event of sensationalizing and circulating the myth of Sister Phoenix?
Sister Phoenix is building up her own narration in an extraordinary way in that it privileges a contrast between different sign system and what’s inside the linguistic system
Summary
In 2009, Sister Phoenix rose to fame as a marriage-seeker in central areas of Shanghai. The following is an example: Some people say that her marriage seeking act is only a form of sensationalization; some other argues that Sister Phoenix is seeking for true love, but she has resorted to an extreme approach. In this excerpt taken from the end of a certain piece of special news about Sister Phoenix’s marriage-seeking act, the host speaks with a different level of abstraction. She talks as if she is an outsider of the phenomenon, is able to draw an outline of the event. Some of the media may arrive at the voice of the authority, even if this is only form of decorum
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