• Title/Summary/Keyword: YouTube data

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Appeared In a Domestic YouTube Video A Study on Makeup Characteristics According to Emotional Emages

  • Na-Hyun, An
    • International Journal of Advanced Culture Technology
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    • v.12 no.1
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    • pp.1-10
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    • 2024
  • While technologies such as the 4th revolution and artificial intelligence (AI), which create new value through the convergence of intelligent information technology, are becoming hot topics, the beauty industry is rapidly developing and combining information and communication technology to produce beauty items based on smartphones among mobile technologies. As the area of expands, YouTube is forming a network through various means of information. In particular, beauty-related YouTube videos are a field of great interest and popularity among the public. By classifying the makeup characteristics according to the emotional images shown in domestic YouTube videos by emotional image and identifying the characteristics of makeup, the needs for watching YouTube makeup videos are identified. We aim to build trust in the delivery of information about makeup. The emotional images were divided into four types: 'modern', 'natural', 'gorgeous', and cute. Among the domestic makeup YouTubers, Pony, Isabe and Shinnim, Lamuque were selected. By organizing more diverse makeup-related content systematically and creatively, we expect to have a positive influence on k-makeup not only domestically but also overseas. We aim to provide basic data for follow-up research on makeup YouTuber videos in the field of cosmetology and contribute to marketing plans for the development of the beauty content industry and establishment of promotional strategies.

A Study on Information Attitude, Brand Attitude, Usage Satisfaction, Brand Image and Brand Loyalty of YouTube Sports Contents Viewer

  • Byun, Kyung-Won
    • International Journal of Internet, Broadcasting and Communication
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    • v.12 no.3
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    • pp.206-212
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    • 2020
  • The purpose of this study is to analyze the structural relationship among information attitude, brand attitude, usage satisfaction, brand image and brand loyalty of YouTube sports Contents. The survey subjects to achieve the purpose of this study were selected the 490 YouTube sports contents Viewer in the metropolitan area. Data processing was done with SPSS 23 for frequency analysis, Cronbach's α analysis. Also, AMOS 21 was used for confirmatory factor analysis and structural equation model analysis. The results of the analysis are as follows: First, it is more effective to increase the attitude toward the brand itself rather than information attitude to use satisfaction Second, both information attitude and brand attitude were found to have a positive effect on enhancing brand image. In relation to attitude and image, it was possible to achieve research accumulation for YouTube users. Third, it was found that both the use satisfaction and the brand image presented in the previous study had a positive effect on brand loyalty.

Factors Influencing the Continuous Watching and Paid Sponsorship Intentions of YouTube Real-Time Broadcast Viewers: Based on the S-O-R Framework (유튜브 실시간 방송 시청자의 지속시청 및 유료후원 의도에 영향을 미치는 요인: S-O-R 프레임워크를 기반으로)

  • Kwon, Ji Yoon;Yang, Seon Uk;Yang, Sung-Byung
    • Knowledge Management Research
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    • v.23 no.3
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    • pp.285-311
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    • 2022
  • In this study, based on the S-O-R framework, how individual's stimuli (i.e., video characteristics, YouTuber characteristics, real-time broadcasting characteristics of YouTube channel) form organisms (i.e., perceived usefulness, perceived pleasure, social presence), leading to viewers' responses (i.e., continuous watching intention, paid sponsorship intention) on real-time YouTube channels. For this purpose, a research model and hypotheses were constructed, and 369 questionnaire data collected from users of real-time broadcasting channel services on the YouTube platform were analyzed. Result findings confirmed that some video/YouTuber/real-time broadcasting characteristics significantly affect viewers' perceived usefulness/perceived pleasure/social presence, and further influence continuous watching/paid sponsorship intentions. Theoretical and practical implications of the findings are discussed in conclusion.

Exploratory Study on Factors Affecting Influencers' YouTube Channel Operation and Revenue Generation Based on the Grounded Theory Approach (근거이론 접근법을 이용한 인플루언서의 유튜브 채널 운영과 수익 창출에 미치는 영향요인에 관한 탐색 연구)

  • Kim, Young Lag;Park, Sang Hyeok;Cho, Jae Hee;Park, Jeong Sun
    • The Journal of Information Systems
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    • v.30 no.4
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    • pp.173-202
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    • 2021
  • Purpose This study explored overall phenomena in context such as YouTube channel operation, strategy, and profit generation through interviews with two research participants who started their own businesses and are recognized as influencer on YouTube and analysis of viewer responses to uploaded contents. With the explosive growth of YouTube content provision and use, previous studies on YouTube are only being conducted individually on YouTube's content, influence, and content providers, so it is need to explore YouTube channel operations and the effect of revenue generation in context from an integrated perspective. Therefore, the purpose of this study is to present an integrated model that provides a specific process by contextually linking the factors and results influencing YouTube channel operation and revenue generation phenomena to individuals and companies who are trying to operate YouTube channels for the first time. Design/methodology/approach This study systematized and structured the overall phenomena in context such as YouTube channel operation, communication strategy, effect on revenue generation, and YouTube channel operation results by selecting interview subjects and collecting data through interviews, and analyzing viewer reactions (likes, comments, etc.). Due to the lack of previous studies exploring integrated phenomena, research analysis used Strauss & Corbin (1998)'s grounded theory approach, which presented inductive research methods to discover new theories by structuring concepts and categories based on detailed observations and information provided by interviewees. Findings The academic implication of this study is that while previous studies are conducted as individual studies on YouTube's content, influence, and content providers in the current situation where YouTube content provision and use are exploding, it integrally explores and presents an integrated model throughout the process. In addition, taking into account the lack of previous studies, it can be found in the aspect of using the grounded theory approach, an inductive theory approach that establishes a new theory. The practical implications can be found in that it presented practical directions to beginners who want to start operating YouTube channels by identifying operational preparations, communication strategies with viewers, and response management strategies.

A Study on the YouTube Content Analysis and Users' Emotional Responses Analysis (대학도서관 유튜브 콘텐츠 내용분석과 이용자 감성반응 분석에 관한 연구)

  • Young Song;Ji-Hyun Kim
    • Journal of the Korean Society for information Management
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    • v.40 no.1
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    • pp.73-93
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    • 2023
  • This study conducted a comprehensive analysis and evaluation of library services using YouTube through content analysis of YouTube content and emotional response analysis of user comments. This study analyzed 2,169 YouTube contents and 6,487 comments of users from 61 university libraries. The results showed that the number of 'data' content was the largest among 4 categories, followed by 'communication' and 'education' content, and 'promotion' content. Among the sub-classifications, the number of 'information services' contents was the largest. In the analysis of users' emotional responses to YouTube content, the major categories of users' emotional responses were 'data' content and 'communication' content. Most of the user's emotional responses were positive in all categories of content, and the most frequent user emotional expression was 'good'. In addition, the vocabulary used in the user's emotional response was more about the person appearing in the video than the expression of the content of YouTube contents.

The YouTube Video Recommendation Algorithm using Users' Social Category (사용자의 소셜 카테고리를 이용한 유튜브 동영상 추천 알고리즘)

  • Yoo, SoYeop;Jeong, OkRan
    • Journal of KIISE
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    • v.42 no.5
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    • pp.664-670
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    • 2015
  • With the rapid progression of the Internet and smartphones, YouTube has grown significantly as a social media sharing site and has become popular all around the world. As users share videos through YouTube, social data are created and users look for video recommendations related to their interests. In this paper, we extract users' social category based on their social relationship and social category classification list using YouTube data. We propose the YouTube recommendation algorithm using the extracted users' social category for more accurate and meaningful recommendations. We show experiment results of its validation.

A Study on the Effects of Advertising Attributes in YouTube e-sport Video

  • Byun, Kyung-Won;Kim, Seyun
    • International Journal of Internet, Broadcasting and Communication
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    • v.12 no.2
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    • pp.137-143
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    • 2020
  • The purpose of this study is to analyze the structural relationship among advertising attribute, advertising attitude, product attitude and purchase intention in YouTube advertising. The survey subjects to achieve the purpose of this study were selected the group of 300 students who have been watching YouTube VOD once more and are attending in three universities that are located in Seoul, Gyeonggi and Chungnam. Data processing was done with SPSS 23 for frequency analysis, Cronbach's α analysis. Also, AMOS 18 was used for confirmatory factor analysis and structural equation model analysis. information, irrtation and individuality affect viewers' advertisement attitude, their product attitude and purchasing intent, among advertisement attributes of e-sports items perceived by viewers of YouTube's e-sports videos with the insertion of advertisements that cannot be skipped in the middle of the video.Therefore, the similarity between the video and the advertised product or brand should be taken into account when producing advertisements inserted in the YouTube video, and a more positive advertising effect can be achieved when advertisement can be carried out reflecting the characteristics of the target viewers.

A Study On YouTube Fake News Detection System Using Sentence-BERT (Sentence-BERT를 활용한 YouTube 가짜뉴스 탐지 시스템 연구)

  • Beom Jung Kim;Ji Hye Huh;Hyeopgeon Lee;Young Woon Kim
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.667-668
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    • 2023
  • IT 기술의 발달로 인해 뉴스를 제공하는 플랫폼들이 다양해 졌고 최근 해외 인터뷰 영상, 해외 뉴스를 Youtube Shorts형태로 제작하여 화자의 의도와는 다른 자막을 달며 가짜 뉴스가 생성되는 문제가 대두되고 있다. 이에 본 논문에서는 Sentence-BERT를 활용한 YouTube 가짜 뉴스 탐지 시스템을 제안한다. 제안하는 시스템은 Python 라이브러리를 사용해 유튜브 영상에서 음성과 영상 데이터를 분류하고 분류된 영상 데이터는 EasyOCR을 사용해 자막 데이터를 텍스트로 추출 후 Sentence-BERT를 활용해 문자 유사도를 분석한다. 분석결과 음성 데이터와 영상 자막 데이터가 일치한 경우 일치하지 않은 경우보다 약 62% 더 높은 문장 유사도를 보였다.

A Study of Slow Fashion on YouTube Through Big Data Analysis (유튜브에 나타난 슬로우 패션의 빅데이터 분석)

  • Sen Bin;Haejung Yum
    • Journal of Fashion Business
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    • v.27 no.4
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    • pp.50-66
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    • 2023
  • 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.

An Exploratory Study on Effects of Loneliness and YouTube Addiction on College Life Adjustment in the Distance Education During COVID-19 (코로나19 원격 교육에서 외로움과 유튜브 과다사용이 대학생활적응에 미치는 영향에 대한 탐색적 연구)

  • Lee, Jong Man
    • The Journal of the Korea Contents Association
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    • v.20 no.7
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    • pp.342-351
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    • 2020
  • The purpose of this study is to investigate the relations of loneliness and YouTube addiction on college life adjustment of college students in the distance education during COVID-19 environment. In order to accomplish this purpose, this study built a research model that viewed how loneliness and YouTube addiction work together to explain college life adjustment such as social adjustment, academic adjustment. This study was conducted an online survey and applied 95 survey data to the final analysis. Structural equation model was used to analyze the data. The results of this study are summarized as followings. First, loneliness has negative effects on both social adjustment and academic adjustment. Second, YouTube addiction has a negative effect on social adjustment. In conclusion, loneliness and YouTube addiction are the significant predictor for the college life adjustment. Implications for practice are discussed.