• Journal of Korean Society of Archives and Records Management
• /
• v.22 no.4
• /
• pp.45-65
• /
• 2022

YouTube videos of public institutions are digital public records that need to be managed and preserved. As such, the video and the metadata describing the video should also be preserved. This study aims to select the key metadata elements necessary for archiving videos published on YouTube by public institutions. To this end, five high-level areas, namely the description, structure, management, preservation, and user participation, and the metadata elements of 10 subareas, were designed by referring to NAK 8, PREMIS, ISAD(G), and YouTube metadata. Afterward, the metadata elements designed by 14 experts were verified. Lastly, the validity and reliability of the evaluation results were verified. Of the 63 elements, 33 satisfied the validity and reliability criteria. Thus, these elements were selected as the core metadata for archiving YouTube videos in public institutions.

• Journal of KIISE
• /
• v.42 no.5
• /
• pp.664-670
• /
• 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.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2020.07a
• /
• pp.157-158
• /
• 2020

본 논문의 목적은 비대면 교육 상황에서 왜 대학생들이 유튜브 중독에 빠지는지를 조사하는 것이다. 이를 위하여 연구모형을 개발한 후, 대학생들을 대상으로 한 설문조사를 실시하였다. 총 113부의 설문 자료로 구조 방정식 모형을 사용한 데이터 분석 결과는 다음과 같다. 첫째, 외로움 정도가 높을수록 유튜브 이용 동기는 높은 것으로 나타났다. 둘째, 시간 보내기와 즐거움 동기가 높을수록 유튜브 중독 정도가 높은 것으로 나타났다. 본 연구의 결과는 유튜브 중독의 한 원인은 시간 보내기 혹은 줄거움 동기의 유튜브 시청이며, 그 대책 중 하나는 외로움을 극복하는 것이라는 시사점이 있다.

• Journal of Intelligence and Information Systems
• /
• v.28 no.4
• /
• pp.119-133
• /
• 2022

One of the most important current features of food related industry is the growth of food delivery service. Another notable food related culture is, with the advent of Youtube, the popularity of Mukbang, which refers to content that records eating. Based on these background, this study intended to focus on two things. First, we tried to see the impact of Youtube Mukbang and the sentiments of Mukbang comments on the number of related food deliveries. Next, we tried to set up the predictive modeling of chicken delivery order with machine learning method. We used Youtube Mukbang comments data as well as weather related data as main independent variables. The dependent variable used in this study is the number of delivery order of fried chicken. The period of data used in this study is from June 3, 2015 to September 30, 2019, and a total of 1,580 data were used. For the predictive modeling, we used machine learning methods such as linear regression, ridge, lasso, random forest, and gradient boost. We found that the sentiment of Youtube Mukbang and comments have impacts on the number of delivery orders. The prediction model with Mukban data we set up in this study had better performances than the existing models without Mukbang data. We also tried to suggest managerial implications to the food delivery service industry.

• The Journal of the Korea Contents Association
• /
• v.20 no.7
• /
• pp.342-351
• /
• 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.

• Journal of the Korean Society for information Management
• /
• v.37 no.3
• /
• pp.1-24
• /
• 2020

The social media paradigm centered on videos continues to deepen due to the diversification of 5G devices, high-definition and immersive SNS. The purpose of this study is to propose various utilization strategies and measures through the analysis of the current status of YouTube channel operation and provided contents operated in public libraries. In this study, 44 libraries in Korea that have opened and operated Library YouTube Channel and 12 libraries that actively utilize library YouTube channels with more than 1,000 subscribers were surveyed for the current status of subscribers, views, video count data, and contents and delivery methods of Library YouTube Channel. Based on the analysis results, the library's YouTube channel was proposed to utilize the library's YouTube channel, 1) to secure the specificity and purpose of the library's YouTube channel, 2) to promote and enhance access to the YouTube channel, 3) to improve the YouTube channel to user-friendly interface, 5) to plan and provide library expertise and educational contents, 6) to operate the integrated YouTube channel, and 7) to provide user-based content.

• The Journal of the Korea Contents Association
• /
• v.19 no.9
• /
• pp.512-520
• /
• 2019

This study is to investigate the compulsive use of the social media platform, YouTube. For this purpose, this study built a research model that considered how the personality trait perspective(agreeableness, conscientiousness, neuroticism, extraversion, openness) and the use motivation perspective(utilitarian, hedonic and social use motivations) work together to explain compulsive use of YouTube. The survey method was used for this paper, and data from a total of 165 were used for the analysis. And structural equation model was used to analyze the data. The results of this empirical study is summarized as followings. First, both agreeableness and conscientiousness have a negative effect on compulsive use of YouTube. Second, utilitarian use motivation has a negative effect on compulsive use of YouTube. The results of this study are meaningful in that it not only alerts YouTube users to the risks of compulsive YouTube use, but also helps them to develop self-management strategies.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.23 no.7
• /
• pp.757-763
• /
• 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.

• Knowledge Management Research
• /
• v.23 no.3
• /
• pp.285-311
• /
• 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.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.24 no.5
• /
• pp.576-583
• /
• 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.