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A Study of Slow Fashion on YouTube Through Big Data Analysis

유튜브에 나타난 슬로우 패션의 빅데이터 분석

  • Sen Bin (Dept. of Fashion Design, Jeonbuk National University) ;
  • Haejung Yum (Dept. of Fashion Design, Jeonbuk National University)
  • 빈삼 (전북대학교 의류학과) ;
  • 염혜정 (전북대학교 의류학과)
  • Received : 2023.07.28
  • Accepted : 2023.08.30
  • Published : 2023.09.30

Abstract

The purpose of this study was to examine the word distribution and topic distribution of slow fashion appearing on YouTube in detail and identify the characteristics and aspects related to fashion design through big data analysis and content analysis methods. The specific research results were as follows. First, in the results of the word distribution analysis, "item" appeared the most, 203 times. Also, "one-piece" was a point to pay attention to, as the item had the highest frequency. Second, a total of 5 topics were defined in the topic distribution analysis: topic 1 was "vintage products," topic 2 was "fashion items," topic 3 was "eco-friendly," topic 4 was "life quality emphasis," and topic 5 was "prudent consumption." Third, looking at the relationship between word distribution and topic distribution above, Korean slow fashion on YouTube was actively selecting related design elements that express vintage images in clothing life regardless of trends. In addition, there was a tendency to pursue various basic and high-quality items. Other than those findings, basic items tended to be reinterpreted in various ways through styling methods matched to the vintage image. Lastly, the tendency of slow and small-volume production appeared to emphasize handicrafts and the cultural values of fashion products.

Keywords

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