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Deconstructing Binary Concepts of Good/Evil, Male/Female, Love/Hatred: A Comparative Cultural Study of The Crying Game and Kung Fu Hustle

Authors: Chen, Min; Wu, Jing; Chen, Kaiju;

Deconstructing Binary Concepts of Good/Evil, Male/Female, Love/Hatred: A Comparative Cultural Study of The Crying Game and Kung Fu Hustle

Abstract

Neil Jordan depicts a story in The Crying Game which is permeated with binary oppositions in multiple scenes at a dizzying speed. The plot is featured by unconventionality which secures the film a position in the international screenplay industry. Kung Fu Hustle, a Hong Kong film directed by Stephen Chow, embraces Hollywood-level box-office. It is an exemplary work of unconventionality as well. Multiple themes of human nature, gender, and love remain to be further discovered and investigated in both films. The disintegration of similar themes is presented through different approaches. The mystery behind the “abnormality” of the two films is of significance in cultural studies. The present study decodes the secrets of The Crying Game and Kung Fu Hustle through deconstructing binary concepts of Good/Evil, Male/Female, and Love/Hatred shown in the films, which provides a comprehensive and analytical perspective to interpret Jordan’s and Chow’s masterpieces through a comparative analysis.

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Keywords

binary oppositions, Kung Fu Hustle, The Crying Game, comparative cultural study, deconstructionism

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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