국립발레단과 유니버설발레단 유튜브 댓글의 온라인 반응 구조 비교 분석

초록

This study aims to examine differences in online audience responses to YouTube content related to the Korean National Ballet and Universal Ballet. A total of 902 videos and 10,621 top-level comments posted between January 1, 2015, and December 31, 2025, were collected for analysis. The study employed word frequency analysis, Latent Dirichlet Allocation (LDA) topic modeling, inter-topic distance mapping, and topic–keyword network analysis. The findings indicate that comments on both ballet companies exhibit shared response patterns related to performances, dancers, stage production, repertoire, emotional impressions, and expressions of support. However, comments on the Korean National Ballet show a stronger emphasis on artistic excellence, dancers’ technical proficiency, comparisons with international ballet companies, and interest in specific performers. In contrast, comments on the Universal Ballet are more closely associated with expectations surrounding year-end performances of The Nutcracker, family attendance, affective memories, and empathy toward dancers’ training processes and professional challenges. These results suggest that the Korean National Ballet tends to be received primarily in evaluative terms based on artistic standards and technical excellence, whereas the Universal Ballet is more often received as an experiential cultural event centered on seasonal repertoire and audience engagement. This distinction should not be interpreted as an inherent or fixed characteristic of either company, nor as representative of all audience perceptions; rather, it serves as an analytical construct for explaining the relative patterns observed in the dataset. This study contributes to the field by demonstrating that variations in repertoire composition, content characteristics, and accumulated organizational image may be associated with differing patterns of online audience responses, even within the same genre of ballet. Furthermore, by utilizing YouTube comments as digital reception data and comparatively analyzing the response structures of two ballet companies, this research provides foundational data for digital audience research in dance studies.

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