PLASTIC ORIENTALISM: Surface Logic and Cultural Technique in K-Pop.
Published In: Velvet Light Trap: A Critical Journal of Film & Television, 2023, n. 91. P. 39 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: LIN, RITA RONGYI 3 of 3
Abstract
This article proposes the notion of "plastic Orientalism" as an emergent cultural phenomenon in recent K-pop music through a textual analysis of BTS's 2018 music video "Idol." The music video features a yellow pavilion structure vaguely resembling the Gyeongbokgung Palace in Seoul, but with a two-dimensional flat appearance and a derealized space imposed with computer-generated special effects. By taking a signifier conventionally coded as Oriental(ist) in dominant visual representation and returning such an image ironically with extra saturation, the yellow pavilion is characteristic of plastic Orientalism as a reflective and reflexive cultural technique that radically performs the logic of the surface. "Idol" reclaims the overdetermined associations of "the East" with inscrutability and excess by aligning itself with the architectural facade, offering a conception of subjectivity as routed through objecthood. I argue that plasticity as a visual rhetoric and reparative reading practice allows a renegotiation of the politics of hegemony and resistance for an ethnic-racial identity that disrupts and modulates among the discourses of Orientalism, techno-Orientalism, and ethnonationalism. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Velvet Light Trap: A Critical Journal of Film & Television. 2023/03, Issue 91, p39
- Document Type:Article
- Subject Area:Film
- Publication Date:2023
- ISSN:0149-1830
- DOI:10.7560/VLT9105
- Accession Number:162018329
- Copyright Statement:Copyright of Velvet Light Trap: A Critical Journal of Film & Television is the property of University of Texas Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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