Presentation Schedule
Adaptive Performances of Gay Identity on Tinder and Grindr: A Comparative Study of Self-Presentation Strategies (98236)
Session: On Demand
Room: Virtual Video Presentation
Presentation Type:Virtual Presentation
This study examines how Taiwanese gay men adapt their self-presentation strategies on two major dating platforms, Tinder and Grindr, using content analysis of profile bios and images. Drawing on 165 user profiles (67 from Tinder, 98 from Grindr), the study investigates differences in visual and textual self-presentation in terms of three variables: biography word count, use of body-focused imagery, and inclusion of coded language. Statistical analysis reveals that Grindr users are significantly more likely to include body-centered images and coded sexual language (e.g., "top", "discreet"), reinforcing the app’s association with fast-paced, desire-oriented interactions. In contrast, Tinder users generally employ less sexualized visual content and exhibit slightly longer bios, suggesting a more narrative-oriented or relational self-presentation style, even though the difference in word count was not statistically significant. These findings highlight how digital platforms shape gay identity performances through both technical affordances and community expectations. By contextualizing these patterns within Taiwanese gay culture and sociolinguistic frameworks, the study demonstrates that online dating profiles are dynamic, adaptive performances shaped by both user intention and platform design. It contributes to digital queer studies by emphasizing how self-presentation practices respond to differing cultural (gay culture) and technological norms.
Authors:
Chin-Hui Chen, National Pingtung University of Science and Technology, Taiwan
En-Hui Yu, National Pingtung University of Science and Technology, Taiwan
About the Presenter(s)
Dr Chin-Hui Chen is a University Associate Professor/Senior Lecturer at National Pingtung University of Science and Technology in Taiwan
See this presentation on the full schedule – On Demand Schedule
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