• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.855-869
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• 2021

Since 2009, stars produced through audition programs have appeared through the process of establishing familiar ties with viewers, unlike stars created by entertainment agencies. This study is a case study that examines the characteristics, roles, and identity of internet live broadcasts (Labang) of vocalists Kang Dong-hoon and his fan cafe(fan community) who appeared in JTBC Phantom Singer 3 in 2020. As a result of the study, fans gathered around SNS even before the fan cafe was created, at their request, 'Labang' began. "Labang" is a "freely participating talk show" in which fans actively participate. This brought about the bond of fans, a sense of belonging, and the activation of fandom. Both stars and fans recognized "Live Broadcast" as "a window of communication to get to know each other," and expressed satisfaction that they could see the sincerity of familiar and unpretentious stars, not unrealistic images reproduced on TV through "immediate comment communication." "Labang" consists of a variety of contents, including stars' daily lives, music activities, broadcast appearances, and hobbies, and is showing "aesthetic differentiation" from those who do not watch "Labang" while sharing the daily lives of stars and fans with active participation.

• Journal of the Korea Convergence Society
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• v.12 no.12
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• pp.197-211
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• 2021

The emergence of knowledge-sharing live streamers provides more diversified content to the live streaming platform. Analysis of the factors affecting the intention to use knowledge sharing live streaming users can allow the live streaming platform to understand better the adoption characteristics of users who follow this type of content. Help platform operators provide better services and help live streaming platforms innovate. Based on the TAM model, this research uses questionnaire surveys and structural equation models to construct a conceptual model of the influencing factors of users' intentions in the knowledge sharing live streaming and conduct an empirical analysis on the influencing factor models. The results of data analysis show that a significant influence of users' attitudes of knowledge sharing live streaming is perceived usefulness, followed by flow experience; perceived value has a positive impact on users' attitudes and intention to use, and the positive influence of users attitude significantly affect the user's intention.