• Title/Summary/Keyword: YouTube 동영상

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YouTube Users' Awareness of False Information Regulation and Exposure to Disinformation (유튜브 이용자들의 허위정보 노출경험 및 규제에 대한 인식 차이)

  • Kim, Sora
    • The Journal of the Korea Contents Association
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    • v.22 no.8
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    • pp.14-32
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    • 2022
  • This study aims to examine the perception of false information and deepfakes according to the experience of being exposed to false information and deepfake images for YouTube content users. The study used the data from 'YouTube Use and False Information Exposure Experience' conducted by the Korea Press Foundation in 2018. For the statistical analysis, correspondent analysis was employed. The main results followed as: First, it was found that men who have been exposed to false information are most seriously aware of the problems caused by false information on YouTube. Second, regarding the need for regulation on deepfake images, women who have experienced exposure to deepfake images tended to agree, and women had a stronger awareness of the need for regulation due to damage to deepfake images than men. While YouTube users generally agree that regulation is necessary, it is required to educate YouTube users about the types of disinformation and deepfakes. In particular, it is considered to be desirable to create an environment for the self-regulation of the producers and distributors.

Analysis of Trends of Critical Issues and Topics in the Service Sector: Comparing YouTube Videos and Research Publications (서비스 분야의 주요 이슈와 주제에 대한 흐름 분석: 유튜브 동영상과 학술연구 비교)

  • EuiBeom Jeong;DonHee Lee
    • Journal of Korea Society of Industrial Information Systems
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    • v.28 no.4
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    • pp.59-76
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    • 2023
  • This study examines critical issues and topics related to services using YouTube videos and research publications. We analyzed 2,853 YouTube videos and 19,973 research papers related to services, released during the 2013-June, 2023 period, using text mining and network analysis. In addition, the collected data was divided into pre- and post-COVID-19 pandemic periods to explore how key issues and topics regarding services have changed. These papers were sequentially analyzed through text mining and network construction and procedures. The results indicate that the central themes of YouTube videos were IT, data, and solution, while academic research focused on service quality, quality, and customer satisfaction. Regarding ego network analysis, the key issues in YouTube video contents revolved primarily around words related to the service industry. Although it was found that they generally lacked specific industry fields, academic papers explored diverse issues in various service fields. The results of this study can be utilized to understand changes in customer concerns in the service industry from practical and academic perspectives.

Network Analysis of Keywords Related to Korean Nurse: Focusing on YouTube Video Titles (국내 간호사 관련 동영상 키워드의 네트워크 분석: 유튜브 동영상 제목을 중심으로)

  • Lee, Dongkyun;Lee, Youngjin;Lee, Bogyeong;Kim, Sujin;Park, Haejin;Bae, Sun Hyoung
    • Journal of Korean Academic Society of Home Health Care Nursing
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    • v.29 no.3
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    • pp.278-287
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    • 2022
  • Purpose: To analyze Korean nurse-related channels and video titles on YouTube, the world's largest online video sharing and social media platform, to clarify public opinion and image of nurses. We seek utilization strategies and measures through current status analysis. Methods: Data is collected by crawling video information related to Korean nurses, and correlation is analyzed with frequent word analysis and keyword network analysis. Results: Through the YouTube algorithm, 2,273 videos of 'Nurse' were analyzed in order of recent views, relevance, and rating, and 2,912 videos searched for with the keyword 'Nurse + Hospital, COVID-19, Awareness, University, National Examination' were analyzed. Numerous videos were uploaded, and nursing work that was uploaded in the form of a vlog recorded a high number of views. Conclusion: We could see if the YouTube video shows images of nurses. It has been confirmed that various information is being exchanged rather than information just for promotional purposes.

A study on Survive and Acquisition for YouTube Partnership of Entry YouTubers using Machine Learning Classification Technique (머신러닝 분류기법을 활용한 신생 유튜버의 생존 및 수익창출에 관한 연구)

  • Hoik Kim;Han-Min Kim
    • Information Systems Review
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    • v.25 no.2
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    • pp.57-76
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    • 2023
  • This study classifies the success of creators and YouTubers who have created channels on YouTube recently, which is the most influential digital platform. Based on the actual information disclosure of YouTubers who are in the field of science and technology category, video upload cycle, video length, number of selectable multilingual subtitles, and information from other social network channels that are being operated, the success of YouTubers using machine learning was classified and analyzed, which is the closest to the YouTube revenue structure. Our findings showed that neural network algorithm provided the best performance to predict the success or failure of YouTubers. In addition, our five factors contributed to improve the performance of the classification. This study has implications in suggesting various approaches to new individual entrepreneurs who want to start YouTube, influencers who are currently operating YouTube, and companies who want to utilize these digital platforms. We discuss the future direction of utilizing digital platforms.

YouTube Video Content Analysis: Focusing on Korean Dance Videos (유튜브(YouTube) 영상 콘텐츠 분석: 국내 무용 영상을 중심으로)

  • Suejung Chae;Jihae Suh
    • Journal of Intelligence and Information Systems
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    • v.29 no.4
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    • pp.1-13
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    • 2023
  • The widespread adoption of smartphones and advancements in internet technology have notably shifted content consumption habits toward video. This research aims to dissect the nature of videos posted on YouTube, the global video-sharing platform, to understand the characteristics of both produced and preferred content. For this study, dance was chosen as a specific subject from a variety of video categories. Data on YouTube videos associated with the term "dance" was compiled over three years, from 2019 to 2021. The investigation revealed a clear distinction between the types of dance videos frequently uploaded to YouTube and those that receive a high number of views. The empirical analysis of this study indicates a viewer preference for vlogs that provide insights into the daily lives of dance students, as well as for purpose-driven videos, such as those highlighting dance exam preparations or school dance events. Notably, the vlogs that attract the most attention are typically created by dance students at the college or secondary school level, rather than by professionals. Although the study was focused on dance, its methodologies can be applied to different subjects. These insights are expected to contribute to the development of a recommendation system that aids content creators in effectively targeting their productions.

A Study on the Diffusion of Chinese Creator's Contents among Korean YouTube Users: Using Social Network Analysis of Creator Fengtimo's YouTube Video Network (중국 크리에이터 영상콘텐츠의 국내 소비에 대한 네트워크 구조와 확산 영향요인 연구 - '펑티모' 동영상의 유튜브 비디오 네트워크 분석을 중심으로 -)

  • Son, Jaeyoung
    • Korean Association of Arts Management
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    • no.57
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    • pp.59-84
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    • 2021
  • This study examined the structure of YouTube video network and the factors for the diffusion of Chinese creator's videos through the case of famous Chinese creator Fengtimo. There is few interest to the diffusion of Chinese contents among Korean researchers, while they have been studied the consumption of Hallyu(Korean wave) contents overseas. Using the data that YouTube Data API offers, this study analysed the video network that the comments of which are same users with NodeXL tools and the regression model with JASP tools. The study found that there are three groups of the YouTube channels of that network. They are domestic official accounts of Fengtimo, foreign officail accounts of Fengtimo and individual creators' accounts. The official accounts share the videos of Fengtimo's songs and entertainment contents for the fans, where the individual creators share their own meme videos(UGC). The significant factors for the diffusion in the YouTube video network are comments, likes, out-degree, dislikes, in-degree and betweenness centrality. There are significant difference between official channel and indivisual groups on the views. And degree and betweenness centrality have mediating effect. It is necessary to conduct more research on that subject with many other cases if we want to get to know the generalized explanation.

Ensemble Machine Learning Model Based YouTube Spam Comment Detection (앙상블 머신러닝 모델 기반 유튜브 스팸 댓글 탐지)

  • Jeong, Min Chul;Lee, Jihyeon;Oh, Hayoung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.5
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    • pp.576-583
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    • 2020
  • This paper proposes a technique to determine the spam comments on YouTube, which have recently seen tremendous growth. On YouTube, the spammers appeared to promote their channels or videos in popular videos or leave comments unrelated to the video, as it is possible to monetize through advertising. YouTube is running and operating its own spam blocking system, but still has failed to block them properly and efficiently. Therefore, we examined related studies on YouTube spam comment screening and conducted classification experiments with six different machine learning techniques (Decision tree, Logistic regression, Bernoulli Naive Bayes, Random Forest, Support vector machine with linear kernel, Support vector machine with Gaussian kernel) and ensemble model combining these techniques in the comment data from popular music videos - Psy, Katy Perry, LMFAO, Eminem and Shakira.

Analysis of characteristics of YouTube video contents for the development of pattern drafting video (패턴제작 교육용 영상콘텐츠 개발을 위한 유튜브 영상 현황 분석)

  • Kang, Yeo Sun
    • The Research Journal of the Costume Culture
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    • v.27 no.6
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    • pp.599-614
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    • 2019
  • The aim of this study to provide basic reference data for the development of video contents used in pattern drafting education and to explore the possibility of utilizing YouTube videos in such education. Subject videos were selected using the number of views. A total of 596 videos and 28 channels were analyzed for the period July to September 2019 and the results are as follows. With regard to content, there were 27 pattern drafting items, the majority being dress, pants, skirt, blouse and sleeve drafting, although high-level content such as cowl, bustier, corset patterns were also available. Therefore, there is a high likelihood that YouTube videos could be used as educational material, especially as supplementary references to provide specific examples and easy explanations for difficult concepts or method, for students majoring in this field. However, as most videos currently focus on a few items, expanding video content to features a wider variety of clothing items at different levels is necessary. With regard to video length, it mostly ranged from 10 to 15 minutes. It is not advisable to create lengthy lecture-style videos expounding on different principles or variations in pattern drafting when developing educational video material.

Effects of Selective Exposure to YouTube Political Videos on Attitude Polarization: Verifying Mediating Effects of Political Identification (유튜브 정치동영상의 선택적 노출과 정치적 태도극화: 정치성향별 내집단 의식의 매개효과 검증)

  • Ham, Minjeong;Lee, Sang Woo
    • The Journal of the Korea Contents Association
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    • v.21 no.5
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    • pp.157-169
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    • 2021
  • YouTube has rapidly grown as a news media outlet. As political content without fact-checking is actively provided and YouTube algorithms are used for content recommendations, users are selectively exposed to certain political ideologies, which could escalate conflicts among political groups. In particular, the stronger the identification of in-group, the greater the antipathy toward outgroup, and the more exposed the content to the parties that support or oppose it, the stronger the identification or the antipathy can be. This study investigated the relationship between selective exposure and political attitude polarization in the context of political video on YouTube. Based on social identity theory, this study also found that political identification mediates the relationship between selective exposure and political attitude polarization.

Analysis of Content of YouTube Channel about Pet: Focus on Cream Heroes (애완동물 관련 YouTube 채널 콘텐츠 분석: 크림 히어로즈를 중심으로)

  • Han, Sukhee
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.19 no.3
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    • pp.33-39
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    • 2019
  • This study analyzes the content of YouTube channel "Cream Heroes" dealing pet(cat) produced in South Korea currently. Due to the advance of science and technology in the 21 century, the commons are able to independently upload their own content after filming videos, and it is called One Person Media. Unlike existing One Person Media that contains provocative and violent factors, "Cream Heroes" is sound content that shows various features of cats. Specifically, this study explores how and why "Cream Heroes" is popular via content analysis. Throughout this, it studies not only the trait of popular YouTube channel, but also proposes the proper environment of One Person Media.