The Commodification of Romance Thriller in Netflix's You Series.

  • Published In: Rubikon: Journal of Transnational American Studies, 2025, v. 12, n. 1. P. 106 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Sinaga, Leny Roslinda 3 of 3

Abstract

This study aims to determine how the You series uses the male gaze to commodify romance and thriller elements and manipulate aspects of the genre to draw viewers. Additionally, the analysis of the You series reveals that it questions patriarchal beliefs and gender representation in the media. In reviewing this research, qualitative analysis methods were used, and Laura Mulvey's Male Gaze theory was applied to analyze the data after examining primary and secondary data and finding supporting theories for the data. This research also uses a Transnational perspective to understand how Netflix produces, distributes, and consumes this genre in various countries and cultures. The result of this research concluded that the You series criticized the dynamics in heterosexual relationships, especially the concept that men should protect women in a way that often leads to control and violence. The You series encourages the audience to reconsider protection in relationships, exposing how these seemingly ideals can be weaponized and distorted into control, obsession, and violence. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Rubikon: Journal of Transnational American Studies. 2025/04, Vol. 12, Issue 1, p106
  • Document Type:Article
  • Subject Area:Women's Studies and Feminism
  • Publication Date:2025
  • ISSN:2541-2248
  • DOI:10.22146/rubikon.v12i1.98846
  • Accession Number:185714348
  • Copyright Statement:Copyright of Rubikon: Journal of Transnational American Studies is the property of Universitas Gadjah Mada, American Studies, Intercultural Department, Fakultas Ilmu Budaya 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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