• Title/Summary/Keyword: 유튜브 이용

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Analysis of the Users' Viewing Characteristics of YouTube Video Contents Related to Science Education (과학교육 관련 유튜브 동영상 콘텐츠 이용자들의 시청 특징 분석)

  • Jeong, Eunju;Son, Jeongwoo
    • Journal of Science Education
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    • v.45 no.1
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    • pp.118-128
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    • 2021
  • In this study, as the viewing characteristics of users of YouTube video content related to science education, 'Inflow and Access' is analyzed to find out the interaction between learners and the system, and 'Reaction and Subscription' to find out the interaction between learners and contents. To this end, the YouTube channel "Elementary Science TV," was selected as the subject of research. The channel is mainly focused on the contents of elementary science textbooks, STEAM, and gifted education. The channel's data of YouTube studio was analyzed. The following results were obtained through data analysis: first, as a result of 'Inflow and Access' analysis, YouTube video content related to science education was most often introduced through external links, and the access device was mainly a computer. Second, as a result of the analysis of 'Reaction and Subscription,' 'like' and commenting performed as a reaction to the video were less than 1% of the number of views. Most users watch without a subscription, and watch for longer when using self-directed. Although this study was analyzed through a limited channel called 'Elementary Science TV,' we were able to discover a little about the users' viewing characteristics of YouTube video contents related to science education. In the future, it is expected that it can be used as a basic material for creating videos related to science education for remote classes, establishing a science education video platform.

유튜브 동영상 콘텐츠 시청이 제품 및 서비스 구매의도에 미치는 영향에 대한 실증적 연구

  • 임권순;하규수
    • 한국벤처창업학회:학술대회논문집
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    • 2023.04a
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    • pp.11-13
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    • 2023
  • 대기업 등을 비롯한 중소기업들은 여러 광고 매체를 이용해 자사의 상품이나 브랜드 이미지를 홍보하는 것 이외에 유튜브와 같은 온라인 동영상 서비스 플랫폼에서 제품이나 서비스를 동영상으로 제작하여 다채로운 방법으로 가공, 소개하며 마케팅 효과를 극대화하고 있다. 이는 기업의 제품 및 서비스의 동영상 마케팅이 소비자들에게 어떤 영향을 미치고 직접적인 매출과 상관관계가 있는지를 이미 파악하고 접근하고 있다는 증거이다. 상대적으로 소상공인들은 동영상의 필요성에 대한 인식이 부족한 상태이다. 이에 유튜브와 같은 온라인 동영상 서비스 플랫폼에서 효과적으로 제품 및 서비스에 대해 관심과 흥미를 불러 일으키기 위해 동영상 마케팅을 시행하고자 할 때 동영상은 어떤 요소들이 충족되어야 하는지를 연구하려고 한다. 그리고 정확하게 동영상의 어떤 요소들이 소비자들의 구매 욕구를 상승시키는지와 같은 소비자들의 구매 행동 부분에 밀접한 영향을 미치는 동영상의 요소들에 대해 연구하고자 한다. 소비자들이 느끼는 구매 의지에 영향을 미치는 동영상의 요소들을 역설적으로 소상공인들에게 영상의 필요성을 인식시키기 위함이다.

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A Study on the Analysis of Policy PR Content Using Digital Platform - Focusing on YouTube Analysis by Five Government Departments (디지털 플랫폼을 이용한 정책 홍보 내용분석 연구 정부 5개 부처의 유튜브 분석을 중심으로)

  • Yu, Hyun-Joong;Jeong, Hyeon Ju;Kim, Won-Han
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.1
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    • pp.595-603
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    • 2023
  • Recently, many public institutions have been conducting promotional activities using digital platforms. Communication methods using digital platforms have a very important meaning in that they can create new values that did not exist before by connecting and sharing information with various users. To this end, we tried to analyze YouTube videos of five government ministries and examine them. As a result of YouTube analysis by government ministries, most of them were mainly used as channels for policy promotion, and many were used as channels for new information. Although the message is delivered through the production of various contents, it was possible to look at cases where the target as a channel for communication was not clear and the purpose was unclear. In order to communicate with the people, it should be used as a channel for communication through content suitable for clear target setting and purpose.

Students' Perceptions on Chemistry I Class Using YouTube Video Clips (유튜브 동영상을 활용한 화학 I 수업에 대한 학생들의 인식)

  • Jyun, Hwa-Young;Hong, Hun-Gi
    • Journal of the Korean Chemical Society
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    • v.54 no.4
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    • pp.465-470
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    • 2010
  • Using interesting video clips corresponding to lesson subjects for students who favour visual representation is one of the good methods to enhance students' preference for science class. There are many moving picture web sites to get video clips easily via internet and 'YouTube' is very popular and one of the largest reservoir. In this study, every student in the 'Chemistry I' class, which is a class for 11th grade, was requested to search a video clip corresponding to lesson subjects and to make a presentation in the class. After 1st semester, students' response about the class using YouTube was examined by survey. As a result, students preferred and were interested in the class using YouTube than class centered on textbook. And students preferred YouTube clips showing unusual experiments that were related with contents of subject. In addition, experiments and watching their real phenomena were an interesting factor and helpful factor of learning chemistry in YouTube video clips, respectively. However, translation of English used in the video clips seemed to be a difficult part for students.

YouTube Channel Ranking Scheme based on Hidden Qualitative Information Analysis (유튜브 은닉 질적 정보 분석 기반 유튜브 채널 랭킹 기법)

  • Lee, Ji Hyeon;Oh, Hayoung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.7
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    • pp.757-763
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    • 2019
  • Youtube has become so popular that it is called the age of YouTube. As the number of users and contents increase, the choice of information increases. However, it is difficult to select information that meets the needs of users. YouTube provides recommendations based on their watch list. Therefore, in this study, we want to analyze the channel of user's subject in various angles and provide the proposed scheme based on the crawled channels, measurement of the perception of channels and channel videos through quantitative data and hidden qualitative data analysis. Based on the above two data analysis, it is possible to know the recognition of the channel and the recognition of the channel video, thereby providing a ranking of the channels that deal with the topic. Finally, as a case study, we recommend English learning channels to users based on numerical data statistics and emotional analysis results to maximize flipped learning effect regardless of time and space.

Factors Influencing on the Flow and Satisfaction of YouTube Users (유튜브 이용자의 몰입경험과 만족에 영향을 미치는 요인 연구)

  • Lee, Kang-You;Sung, Dong-Kyoo
    • The Journal of the Korea Contents Association
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    • v.18 no.12
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    • pp.660-675
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    • 2018
  • This study is designed to investigate how the perceived characteristics of the online video services affect the 'flow' as positive experience and satisfaction of users. For the study, we conducted a questionnaire survey on 289 people using YouTube, and then analyzed the relationships among variables using hierarchical regression analysis. As a result, it was confirmed that interactivity, newness of recommendation service, diversity of content, and entertainingness of contents all affect the lower level of flow experience. On the other hand, the accuracy of the recommendation service did not affect the flow experience, but positively affects the level of satisfaction. Finally, it is also confirmed that flow has a direct effect on user satisfaction, and mediates relationship between the characteristics of YouTube and satisfaction. The results of this study are helpful to understand user's perception and experience of online video platform service and suggest the discussion points to be considered by the industry to satisfy users.

The Influence of YouTube Recommendation Service on Reliability, Involvement and Subscription Intention: focused on the mediating effect of Reliability (유튜브 추천서비스가 신뢰와 몰입 및 구독의도에 미치는 영향 -신뢰의 매개효과를 중심으로-)

  • Eun, Chang-Ik
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.3
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    • pp.113-128
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    • 2022
  • The objective of this study is to pay attention to the personal media environment that is in the center of rapid changes in the media industry, to especially explore the activity area of one-person or minority media creators who lead the mobile media environment that could be connected, watched, and produced anywhere, and to closely examine the mutual ecosystem between creators and viewers. Especially, paying attention to the recommendation service YouTube provides, for example, based on the big data algorithm related to users' habitual use, when users' data used are provided more, the users face the advanced service, this study aimed to examine the effects of recommendation service on the formation of trust between user and producer, user flow, and subscription intention, and also to demonstrate the process of forming this mutual relation through concrete data. In the conclusion, implications that can be inferred based on the research results and suggestions for further research in the future were presented.

Analysis of the Precedence of Stock Price Variables Using Cultural Content Big Data (문화콘텐츠 빅데이터를 이용한 주가 변수 선행성 분석)

  • Ryu, Jae Pil;Lee, Ji Young;Jeong, Jeong Young
    • The Journal of the Korea Contents Association
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    • v.22 no.4
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    • pp.222-230
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    • 2022
  • Recently, Korea's cultural content industry is developing, and behind the growing recognition around the world is the real-time sharing service of global network users due to the development of science and technology. In particular, in the case of YouTube, its propagation power is fast and powerful in that everyone, not limited users, can become potential video providers. As more than 80% of mobile phone users are using YouTube in Korea, YouTube's information means that psychological factors of users are reflected. For example, information such as the number of video views, likes, and comments of a channel with a specific personality shows a measure of the channel's personality interest. This is highly related to the fact that information such as the frequency of keyword search on portal sites is closely related to the stock market economically and psychologically. Therefore, in this study, YouTube information from a representative entertainment company is collected through a crawling algorithm and analyzed for the causal relationship with major variables related to stock prices. This study is considered meaningful in that it conducted research by combining cultural content, IT, and financial fields in accordance with the era of the fourth industry.

Open API를 활용한 다국어 정보검색 시스템 모델링에 관한 연구

  • Hwang, Se-Chan;Kim, Heung-Cheol;Kim, Seon-Jin;Jeong, Ju-Seok;Kang, Sin-Jae
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 2009.05a
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    • pp.129-132
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    • 2009
  • 본 논문은 오픈 API를 이용하여 다국어 정보검색 시스템을 모델링하는 방법론을 제시한다. 웹 2.0이 대두되면서 웹 2.0의 개념을 활용한 기술들이 발달하고 있는데, 그 중 한 기술이 오픈 API이다. 기업에서 개발한 새로운 서비스나 기능, 데이터 등을 API로 공개함으로써 사용자들이 공개된 API를 이용하여 새로운 서비스를 쉽게 개발할 수 있게 되었다. 본 연구에서는 구글, 플리커, 유튜브, 네이버, 다음 등의 사이트에서 제공하는 오픈 API를 이용하여, 다국어 정보 검색 시스템을 구현하였다. 구글 번역 API를 이용하여 한국어 질의어를 검색 대상 언어(영어, 일본어, 중국어 등)로 번역한 후, 소설 웹 사이트(플리커, 유튜브, 다음, 네이버 등)의 정보를 검색하고, 검색된 결과 내 텍스트를 다시 한국어로 번역한 후, 통합된 검색 결과를 사용자에게 보여준다.

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An Empirical Analysis of the Active Use Paths induced by YouTube's Personalization Algorithm (유튜브의 개인화 알고리즘이 유도하는 적극이용 경로에 대한 실증분석)

  • Seung-Ju Bae
    • Journal of Korea Society of Industrial Information Systems
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    • v.28 no.2
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    • pp.31-45
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    • 2023
  • This study deals with exploring qualitative steps and paths that appear as YouTube users' usage time increases quantitatively. For the study, I applied theories from psychology and neuroscience, subdivided the interval between the personalization algorithm of the recommendation system, and active use and analyzed the relationship between variables in this process. According to the theory behavioral model theory (FBM), variable reward, and dopamine addiction were applied. Personalization algorithms easy clicks as triggers according to associated content presentation functions in behavioral model theory (FBM). Variable rewards increase motivational effectiveness with unpredictability of the content you search, and dopamine nation is summarized as stimulating the dopaminergic nerve to continuously and actively consume content. This study is expected to make an academic and practical contribution in that it divides the purpose of use of content in the personalization algorithm and active use section into four stages from a psychological perspective: first use, reuse, continuous use, and active use, and analyzes the path.