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Social Big Data Analysis of Perceptions and Issues of Hallyu Fandom
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한류 팬덤에 대한 인식과 이슈의 소셜 빅데이터 분석

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Type
Academic journal
Author
Kyung-Yur Lee (한양대학교) Sang-Hyeon Park (한양사이버대학교)
Journal
The Korean Entertainment Industry Association Journal of the Korea Entertainment Industry Association Vol.17 No.4 KCI Accredited Journals
Published
2023.6
Pages
1 - 16 (16page)
DOI
10.21184/jkeia.2023.6.17.4.1

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Social Big Data Analysis of Perceptions and Issues of Hallyu Fandom
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New words such as Fandustry, F2F, and F2E have been coined, and K-startups based on fandom have emerged. As the F2E ecosystem of the intellectual property-based content market for artists’ fandom and the needs of fans diversify, the importance of fandom is drawing more attention; however, there is a lack of academic research on Hallyu fandom that corresponds to this social phenomenon. The purpose of this study is to analyze social data to identify the perceptions of Hallyu fandom and to present the direction of segmentation of research on Hallyu fandom tourism. Accordingly, this study analyzed big data posted on social media portal sites such as Naver and Daum to identify keywords and major topics latent in posts. Unstructured text data reported from January 1, 2019 to November 25, 2022 were collected, refined, analyzed, and visualized using the TEXTOM solution. Based on the TF-IDF weight value, the top 200 words were looked at, and a total of 30 topics were derived through topic modeling analysis using the Latent Dirichlet Allocation method, and topic names were assigned. Findings showed that the theme of fandom in terms of cultural, psychological, economic, and technological aspects were derived. The findings of this study can provide theoretical implications in that they can be used as basic data for the future Hallyu fandom research by identifying issues that the public is interested in relation to Hallyu fandom. In addition, findings will make a practical contribution in that it can provide the basis for systematic exploration of K-culture industry policy establishment.
#fandom #Hallyu fandom #K-pop #Social big-data #Topic modeling #팬덤 #한류 팬덤 #K-팝 #소셜 빅데이터 #토픽 모델링

Contents

ABSTRACT
I. 서론
II. 이론 고찰
III. 연구 설계
IV. 분석 결과
V. 논의 및 결론
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