• Title/Summary/Keyword: YouTube 동영상

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A Study on Word-of-Mouth of an Electric Automobile using YouTube: A Focus on Statistical Network Analysis (유튜브를 활용한 전기 자동차 결함에 대한 구전 확산 연구: 네트워크 통계분석을 중심으로)

  • EuiBeom Jeong;Keontaek Oh
    • Journal of Korea Society of Industrial Information Systems
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    • v.29 no.1
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    • pp.15-29
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    • 2024
  • With recent advances in information and communication technology, YouTube has become a powerful online space for users to create and share content about their interests and experiences, creating new cultural phenomena. In particular, there needs to be more research on social media in the manufacturing sector because, unlike distribution and retail, there has been relatively little direct contact with consumers. YouTube can positively affect firms' performance by promoting products and brands. On the other hand, it can also cause risks, such as production disruption due to rumors or misinformation. Thus, it is necessary for firms to examine how information about an electric automobile defects spreads on YouTube according to the number of subscribers and views through statistical network analysis.

Comparison of online video(OTT) content production technology based on artificial intelligence customized recommendation service (인공지능 맞춤 추천서비스 기반 온라인 동영상(OTT) 콘텐츠 제작 기술 비교)

  • CHUN, Sanghun;SHIN, Seoung-Jung
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.21 no.3
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    • pp.99-105
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    • 2021
  • In addition to the OTT video production service represented by Nexflix and YouTube, a personalized recommendation system for content with artificial intelligence has become common. YouTube's personalized recommendation service system consists of two neural networks, one neural network consisting of a recommendation candidate generation model and the other consisting of a ranking network. Netflix's video recommendation system consists of two data classification systems, divided into content-based filtering and collaborative filtering. As the online platform-led content production is activated by the Corona Pandemic, the field of virtual influencers using artificial intelligence is emerging. Virtual influencers are produced with GAN (Generative Adversarial Networks) artificial intelligence, and are unsupervised learning algorithms in which two opposing systems compete with each other. This study also researched the possibility of developing AI platform based on individual recommendation and virtual influencer (metabus) as a core content of OTT in the future.

Effects of Politics Channels of YouTube on Political Socialization (유튜브 정치·시사 채널 이용이 정치사회화에 미치는 영향)

  • Park, Sang-Hyun;Kim, Sung-Hoon;Joung, Seung-Hwa
    • The Journal of the Korea Contents Association
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    • v.20 no.9
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    • pp.224-237
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    • 2020
  • This study is about motivations of using YouTube channels related to politics and its effects on political socialization. Information acquisition from the political channels of YouTube was analyzed from the perspective of uses and gratifications theory. Then, the effects of the variable factors which can influence the perception-attitude-action of political socializations were reviewed. To understand aforesaid aspects, online survey was conducted targeting male and female adults between 20 to 50-year-old. There were four factors observed for the motivations of using YouTube channels of politics, which were 'entertainment of political satire', 'mental stability', 'convenience of the media', and 'pursuit of information'. The impacts on political socialization were verified with path analysis. Among the various motivations of using YouTube channels, 'convenience of the media' and 'pursuit of information' were the factors that positively affected the acquirement of political knowledges. Political knowledges had meaningful influences on increasing people's interest in politics, and their sense of political efficacy. Increased interest in politics led to higher level of sensing political efficacy, then higher political efficacy positively motivated people to participate in politics. The theoretical and practical implications of the study were also discussed based on the findings.

Comparison of YouTube Comments on Multicultural Citizens of Korea and Japan over COVID-19 Emergency Relief Funds (코로나19 긴급재난지원금을 둘러싼 한국과 일본의 다문화 국민에 대한 유튜브 댓글 비교)

  • Kown, Saerin
    • The Journal of the Korea Contents Association
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    • v.21 no.11
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    • pp.112-120
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    • 2021
  • Korea and Japan share the same view of a single nation state, but there was a difference in the government's COVID-19 emergency relief fund for foreigners. To this end, I analyzed the comments of Korean and Japanese users in YouTube videos related to COVID-19 disaster support funds for foreigners. As a result of the study, As a result, there are many opinions that Korea and Japan are generally sensitive to foreigners' tax payments, and that immigrants can receive national benefits and support like indigenous people if they fulfill their obligations. Next, it can be seen that Korea and Japan recognize each other in common. The difference is that Japan is sensitive to the same nationality, whereas Korea is more focused on tax and money than nationality.

Coordination Information Marking and Sharing Service Based On YouTube Video Information (유튜브 영상 정보 기반의 위치 정보 마킹 및 공유 서비스)

  • Yoon, Dongju;Jeong, Hun;Im, Yubin;Lee, Gwangyeol;Kim, Youngjong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.05a
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    • pp.689-690
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    • 2022
  • 동영상 공유 플랫폼의 유저가 늘어남에 따라 영상을 통해 다양한 정보가 공유된다. 하지만 다양한 정보들이 영상으로 제한된 채 사용되고 있다. 이러한 제한점의 개선을 위하여 우리는 유튭콕을 기획하였다. 유튭콕 애플리케이션은 유튜브의 영상 정보를 기반으로 하는 위치 정보 마킹 및 공유 서비스이다. 유튭콕을 통해 관심이 있는 동영상의 정보를 받아와 지도를 생성하여 위치 정보를 가시적으로 확인할 수 있다. 또한 지도 공유 기능을 통해 타 유저와의 공유 서비스를 제공한다.

Network analysis on the diffusion of negative issue related with the government's COVID-19 measures in a crisis situation (위기상황에서 정부의 코로나 19 대책 관련 부정적 이슈의 확산 네트워크 분석)

  • Hong, Juhyun;Cha, Heewon
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.2
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    • pp.109-116
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    • 2022
  • This study conducted YouTube network analysis on YouTube video related with prevention of COVID-19 and COVID-19 vaccine to explores how government's policy is spread via social media in the condition of COVID-19. As a result of network analysis on the Mask chaos, A surge in confirmed cases, supply of vaccine, the influence of media like YTN and KBS is large, their view count is high. Government highlights to inform correct information actively to face negative massage and misinformation. The media has to fact check on the misinformation and disinformation.

Content Analysis on the Characteristics of News-related Videos and Users' Reactions in the Local Broadcasting YouTube News Channels (지역 방송사 유튜브 뉴스 콘텐츠 특성과 이용자 반응에 관한 내용분석)

  • Joo, Eunsin
    • The Journal of the Korea Contents Association
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    • v.20 no.9
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    • pp.169-186
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    • 2020
  • This study aims to examine the characteristics of news content and users' reactions in local broadcasting Youtube news' channel, and explore how the local media should response in the new online video environment. YouTube Open API sampled 3,950 news-related videos uploaded over a month on 31 YouTube news channels nationwide. The content analysis was performed on the basis of the analysis of individual videos, such as characteristics of each content and users' reactions. As a result, a few news channels have produced digital-only content, but the ratio has been very low, most were broadcast replay videos with titles and formats uploaded as they were. In some cases, it still operates as a comprehensive channel, which failed to show its expertise as an independent digital news platform. This shows that theses YouTube channels lacks differentiation from TV or its own web page, and is still skewed to the auxiliary role or online archive function of TV platform. Nevertheless, digital-only content, which can be a national issue based on regional expertise, has led to a higher number of views and users reactions, suggesting that is a realistic and effective strategy with expandability in online space in the future.

A Study on Negative Word-of-mouth Virality of Social Media Using Big Data Analysis: From the Supply Chain Risk's Perspective (빅데이터 분석을 이용한 소셜 미디어의 부정적 구전 파급력에 관한 연구: 공급사슬 리스크 관점에서)

  • Jeong, EuiBeom
    • Journal of Korea Society of Industrial Information Systems
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    • v.27 no.2
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    • pp.163-176
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    • 2022
  • As the business ecosystem has become more uncertain, the sources of supply chain risk have also been becoming more diverse. In particular, due to the development of informational technology in recent years, firms need to consider the emerging supply chain risk sources as well as traditional supply chain risk sources. A typical example is negative word-of-mouth by social media. Therefore, we investigated the virality of negative word-of-mouth on manufacturing firms by using YouTube as a representative social media. More specifically, we investigated how the social capital of the video creator influences the virality of negative word-of-mouth and how the emotional tone of the video affects the virality of negative word-of-mouth. In conclusion, the social capital of the video creator influenced the scale and speed of negative word-of-mouth. Furthermore, negative emotion words moderated the relation between the social capital of the video creator and the scale of negative word-of-mouth.

What Do The Algorithms of The Online Video Platform Recommend: Focusing on Youtube K-pop Music Video (온라인 동영상 플랫폼의 알고리듬은 어떤 연관 비디오를 추천하는가: 유튜브의 K POP 뮤직비디오를 중심으로)

  • Lee, Yeong-Ju;Lee, Chang-Hwan
    • The Journal of the Korea Contents Association
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    • v.20 no.4
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    • pp.1-13
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    • 2020
  • In order to understand the recommendation algorithm applied to the online video platform, this study examines the relationship between the content characteristics of K-pop music videos and related videos recommended for playback on YouTube, and analyses which videos are recommended as related videos through network analysis. As a result, the more liked videos, the higher recommendation ranking and most of the videos belonging to the same channel or produced by the same agency were recommended as related videos. As a result of the network analysis of the related video, the network of K-pop music video is strongly formed, and the BTS music video is highly centralized in the network analysis of the related video. These results suggest that the network between K-pops is strong, so when you enter K-pop as a search query and watch videos, you can enjoy K-pop continuously. But when watching other genres of video, K-pop may not be recommended as a related video.

A Study on the Displacement of Mobile OTT Video Services on Home TV (모바일 OTT 동영상 서비스 이용이 홈 TV 시청에 미치는 영향에 관한 연구)

  • Kim, Joohyeon
    • The Journal of the Korea Contents Association
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    • v.18 no.8
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    • pp.434-445
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    • 2018
  • This study examined whether mobile OTT video service substitutes home TV by using 3 screen data of Nielson-KoreanClick. According to the 2SLS estimation results, when the time spent on mobile OTT video service increased by 1% p, the time spent watching home TV decreased by 12.4%. The results also showed that 1%p increase in the time spent using YouTube app and the mobile OTT video services provided by telecommunication company(Oksusu, Alleh TV, VideoPortal) reduced the time spent on watching terrestrial channels on TV by 16.2% and 23.9%, respectively. The displacement of mobile OTT video service on home TV will be accelerated in the near future. In order to resolve the issue of regulatory unfairness with pay TV services and to safeguard viewer's interests, discussions to establish regulation for OTT video services should be taken place more quickly.