• Title/Summary/Keyword: 패션미디어

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A Symbolic Meaning of Youth Fashion in Media Culture (미디어 문화에 나타난 청소년 패션의 상징적 의미)

  • Kim, So-Young;Yang, Hee-Young
    • Journal of the Korea Fashion and Costume Design Association
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    • v.10 no.3
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    • pp.73-88
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    • 2008
  • The media culture influences upon young people while introducing new cultures by every hour. Considering the mainstream culture, in which media has the greatest effect on young people, this article examines the symbolic significances of youth fashion through media culture. The results of this study can be summarized as the following: First, young people's popular culture ("pop culture") is becoming the medium that leads to the creation of similar cultures of the young people globally through various routes. Culture is being created by integration of diverse media, and not by what is seen through a single medium. Typical young people's culture, which is formed due to the influence of media culture, includes community culture, pun culture, virtual culture and fandom culture. Second, in order to examine youth fashion that is seen in those media, the survey has been conducted on media stars, tecktonik dance groups, fashion models, avatars and online communities, which are fashion icons influencing young people. Third, youth fashion, which has been formed centering on media culture, has the flexible property that varies the symbolic significance according to which culture becomes the main axis. The symbolic significance in fashion, which is seen on media culture young people are contacting, has been examined in the aspects of value orientation, diversity orientation, speed orientation and digital orientation.

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A Study on the User Perception in Fashion Design through Social Media Text-Mining (소셜미디어 텍스트마이닝을 통한 패션디자인 사용자 인식 조사)

  • An, Hyosun;Park, Minjung
    • Journal of the Korean Society of Clothing and Textiles
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    • v.41 no.6
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    • pp.1060-1070
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    • 2017
  • This study seeks methods to analyze users' perception in fashion designs shown in social media using textmining analysis methods. The research methods selected 'men's stripe shirts' as subjects and collected texts related to the subject mainly from blogs. Texts from 13,648 posts from November 1st, 2015 to October 31st, 2016 were analyzed by applying the LDA algorithm and content analysis. As a result, the wearing status per season and subjects of men's stripe shirts were derived. Across the entire period, the main topics discussed by users to be pattern, customized suits, brands, coordination and purchase information. In terms of seasons, spring time showed the sharing of information on coordinating daily looks or boyfriend looks, and during the winter season the information shared were about shirts suitable for special occasions such as job interviews and stripe shirts that match suits. The study results showed that text-mining analysis is capable of analyzing the context and provide a user-centered index responding to demands newly mentioned by users along with the rapid changes in fashion design trends.

The Effect of Anthropomorphism Level of the Shopping Chatbot, Message Type, and Media Self-Efficacy on Purchase Intention (쇼핑 챗봇의 의인화 수준과 메시지 유형, 미디어 자기효능감이 구매의도에 미치는 영향)

  • Ha, Yu Jin;Hwang, Sun jin
    • Journal of Fashion Business
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    • v.25 no.4
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    • pp.79-91
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    • 2021
  • Currently, chatbot, a conversational platform based on artificial intelligence, is drawing attention as a new marketing channel. This study attempted to verify the effect of the anthropomorphism, message type, and media self-efficacy level on purchase intention. The experimental design of this study was a 2 (anthropomorphism level of shopping chatbot: low vs. high) × 2 (message type: factual vs. evaluative) × 2 (media self-efficacy: low vs. high) three-way mixed analysis of variance (ANOVA). This study conducted a survey by the convenience sampling method of 402 women in their 20s and 30s living in Seoul and the Gyeonggi area who were aware of chatbot services. For the final analysis, 388 questionnaires were used. Data were analyzed with the SPSS 23 program and three-way ANOVA. Simple main effects analysis was conducted. The results of this study were as follows. First, there were statistically significant differences in purchase intention according to anthropomorphism level, message type, and media self-efficacy. Second, message type and media self-efficacy showed statistically significant interaction effects on purchase intention. Lastly, anthropomorphism and the media self-efficacy level and the message type of the shopping chatbots showed significant three-way interaction effects on purchase intention.

Estimating Media Environments of Fashion Contents through Semantic Network Analysis from Social Network Service of Global SPA Brands (패션콘텐츠 미디어 환경 예측을 위한 해외 SPA 브랜드의 SNS 언어 네트워크 분석)

  • Jun, Yuhsun
    • Journal of the Korean Society of Clothing and Textiles
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    • v.43 no.3
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    • pp.427-439
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    • 2019
  • This study investigated the semantic network based on the focus of the fashion image and SNS text utilized by global SPA brands on the last seven years in terms of the quantity and quality of data generated by the fast-changing fashion trends and fashion content-based media environment. The research method relocated frequency, density and repetitive key words as well as visualized algorithms using the UCINET 6.347 program and the overall classification of the text related to fashion images on social networks used by global SPA brands. The conclusions of the study are as follows. A common aspect of global SPA brands is that by looking at the basis of text extraction on SNS, exposure through image of products is considered important for sales. The following is a discriminatory aspect of global SPA brands. First, ZARA consistently exposes marketing using a variety of professions and nationalities to SNS. Second, UNIQLO's correlation exposes its collaboration promotion to SNS while steadily exposing basic items. Third, in the case of H&M, some discriminatory results were found with other brands in connectivity with each cluster category that showed remarkably independent results.

Analysis of Global Media Reporting Trends for K-fashion -Applying Dynamic Topic Modeling- (K 패션에 대한 글로벌 미디어 보도 경향 분석 -다이내믹 토픽 모델링(Dynamic Topic Modeling)의 적용-)

  • Hyosun An;Jiyoung Kim
    • Journal of the Korean Society of Clothing and Textiles
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    • v.46 no.6
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    • pp.1004-1022
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    • 2022
  • This study seeks to investigate K-fashion's external image by examining the trends in global media reporting. It applies Dynamic Topic Modeling (DTM), which captures the evolution of topics in a sequentially organized corpus of documents, and consists of text preprocessing, the determination of the number of topics, and a timeseries analysis of the probability distribution of words within topics. The data set comprised 551 online media articles on 'Korean fashion' or 'K-fashion' published on Google News between 2010 and 2021. The analysis identifies seven topics: 'brand look and style,' 'lifestyle,' 'traditional style,' 'Seoul Fashion Week (SFW) event,' 'model size,' 'K-pop,' and 'fashion market,' as well as annual topic proportion trends. It also explores annual word changes within the topic and indicates increasing and decreasing word patterns. In most topics, the probability distribution of the word 'brand' is confirmed to be on the increase, while 'digital,' 'platform,' and 'virtual' have been newly created in the 'SFW event' topic. Moreover, this study confirms the transition of each K-fashion topic over the past 12 years, along with various factors related to Hallyu content, traditional culture, government support, and digital technology innovation.

A Method of Upper-Lower Clothes Automatic Matching Using Attribute-values Matrix (속성값 메트릭스를 이용한 상의-하의 자동 의류매칭 방법)

  • Kim, Jung-In
    • Journal of Korea Multimedia Society
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    • v.13 no.9
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    • pp.1348-1356
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    • 2010
  • With the advancement of information and communication technology, the market of Internet-based fashion/coordination shopping malls have been considerably increasing year by year. As the number of these Internet shopping malls increases, the operators of the malls tend to decorate the first page of their websites with a variety of events and samples of the best-fit upper-lower clothing pairs. They try to provide visitors of their web sites with products that can induce fresh impression by modifying the first page on a daily or a few days basis. If pairs of best-fit upper-lower clothes for various products available in online shopping malls can be calculated and marked, it would help not only to make the first page of the malls more appealing but also to enable users to purchase linked products in a more convenient way, replacing the recommendations usually made by offline clerks. In the paper, we present the results of designing and implementing an upper-lower clothes matching system in which expert coordinators register matching-value of upper and lower clothes in the form of attribute-value matrix.

An exploratory study on fashion criticism in social media using text mining - Focusing on panel discussion of fashion show in YouTube - (텍스트 마이닝을 이용한 소셜 미디어의 패션 비평에 관한 탐색적 연구 - 유튜브의 패션쇼 Panel discussion을 중심으로 -)

  • Dawool Jung;Se Jin Kim
    • The Research Journal of the Costume Culture
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    • v.32 no.2
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    • pp.215-231
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    • 2024
  • The changing media landscape has diversified how and what is discussed about fashion. This study aims to examine expert discussions about fashion shows on social media from the perspective of fashion criticism. To achieve this goal objectively, a text mining program, Leximancer, was used. In total, 58 videos were collected from the panel discussion section of Showstudio from S/S 21 to S/S 24, and the results of text mining on 24,080 collected texts after refinement are detailed here. First, the researchers examined the frequency of keywords by season. This revealed that in 2021-2022, digital transformation, diversity, and fashion films are now commonly used to promote fashion collections, often replacing traditional catwalk shows. From 2023, sustainability and virtuality appeared more frequently, and fashion brands focused on storytelling to communicate seasonal concepts. In S/S 2024, the rise of luxury brand keywords and an increased focus on consumption has been evident. This suggests that it is influenced by social and cultural phenomena. Second, the overall keywords were analyzed and categorized into five concepts: formal descriptions and explanations of the collection's outfits, sociocultural evaluations of fashion shows and designers, assessments of the commerciality and sustainability of the current fashion industry, interpretations of fashion presentations, and discussions of the role of fashion shows in the future. The significance of this study lies in its identification of the specificity of contemporary fashion criticism and its objective approach to critical research.

A Knowledge based Approach for Hanbok Draping Simulation (한복의 드레이핑 시뮬레이션을 위한 지식 기반 접근법)

  • Lee, Bo-Ran;Oh, Sue-Jung;Nam, Yang-Hee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2004.05a
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    • pp.1615-1618
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    • 2004
  • 영화, 애니메이션, 게임 등 디지털 문화 컨텐츠에서 의상을 입은 캐릭터들의 사실성이 강조되는데, 디지털 의상 제작에 있어서 기존의 패션 CAD나 의상 애니메이션 소프트웨어들은 여러 단계의 작업을 거쳐야 하고 의상 디자인의 전문성을 요구한다. 특히, 최근 우리 문화 원형의 디지털 컨텐츠화로 디지털 한복의 수요가 증가하고 있으며, 한복은 재단이나 착용방식 등에서 양복과는 구성학적 차이점을 지님에도 불구하고 디지털 한복 제작을 위한 전문 시뮬레이션 도구는 전무하다. 따라서, 본 연구에서는 전통적인 한복의 제작에서 사용하는 신체 치수와 체형특징에 따른 옷본의 크기 조정 방법을 지식베이스로 구축하고, 이를 사용하여 한복에 대한 사전 지식이 없는 사용자들도 가상 캐릭터에 쉽게 한복을 착용시킬 수 있는 지식 기반 한복 드레이핑 시뮬레이션을 제안한다.

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Fashion Journalism Expressed in Vogue USA (패션잡지 미국 "보그[Vogue]"에 나타난 패션 저널리즘)

  • Nahm, Soo-Hyun;Ha, Ji-Soo
    • Journal of the Korean Society of Costume
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    • v.57 no.1 s.110
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    • pp.118-129
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    • 2007
  • Overflowing of fashion information that is derived from the development of various mass media has rather hindered adopters from appropriately screening fashion information. Thus, responsibilities of fashion journalists who play a role of communicating fashion information have become heavier. Fashion journalism may be defined as 'delivery of modes and involvement in production and logistics'. Since it connects fashion and culture industries with the public by reflecting fashion from diversified perspectives, the role of fashion journalism should never be overlooked in terms of culture as well as industry. This study analyzes fashion journalism from fashion-advanced country by reviewing the fashion journalism from the US, which is so-called fashion-advanced country and analyzing the contents of Vogue USA. This study made a historical review of fashion journalism through a reference study, and from a total of 24 volumes of Vogue USA from January 2004 through December 2005 classified articles by functions, tones, contents, and brands, pictorial records by functions, images, and brands, and ads by brands, quantitatively analyzing them. Further, through a case study it explored those articles and pictorial records which featured national characteristics in the USA, and examined how the fashion journalism in the USA imaged the fashion in the country. In addition, it tried to elicit the characteristics of fashion in the USA as a conclusion by categorizing those images while reviewing previous studies. The results show that Vogue USA features American fashion definitely. Thus, consequently it is easy to find images of American fashion in pictorial records, let alone categorizing them.

A study on the digital transformation strategy of a fashion brand - Focused on the Burberry case - (패션 브랜드의 디지털 트랜스포메이션 전략에 관한 연구 - 버버리 사례를 중심으로 -)

  • Kim, Soyoung;Ma, Jin Joo
    • The Research Journal of the Costume Culture
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    • v.27 no.5
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    • pp.449-460
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    • 2019
  • Today, the fashion business environment of the 4.0 generation is changing based on fashion technology combined with advanced digital technologies such as AI (Artificial Intelligence), big data and IoT (Internet of Things). "Digital Transformation" means a fundamental change and innovation in a digital paradigm including corporate strategy, organization, communication, and business model, based on the utilization of digital technology. Thus, this study examines digital transformation strategies through the fashion brand Burberry. The study contents are as follows. First, it examines the theoretical concept of digital transformation and its utilization status. Second, it analyzes the characteristics of Burberry's digital transformation based on its strategies. For the research methodology, a literature review was performed on books and papers, aligning with case studies through websites, social media, and news articles. The result showed that first, Burberry has reset their main target to Millennials who actively use mobile and social media, and continues to communicate with them by utilizing digital strategy in the entire management. Second, Burberry is quickly delivering consistent brand identity to consumers by internally creating and providing social media-friendly content. Third, they have started real-time product sales and services by using IT to enhance access to brands and to lead consumers towards more active participation. In this study, Burberry's case shows that digital transformation can contribute to increased brand value and sales, keeping up with the changes in the digital paradigm. Therefore, the study suggests that digital transformation will serve as an important business strategy for fashion brands in the future.