• International Journal of Advanced Culture Technology
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• v.8 no.4
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• pp.77-81
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• 2020

Recently we have lots of Youtube contents and their influence. But Just a few Studies have announced Youtube content's effect. The purpose of this paper is to see if ASMR content, which is popular through Youtube recently, helps teenagers stabilize their minds and improve their learning abilities. To that end, a survey of teenagers found that ASMR content is very familiar to teenagers, and that 66.7 percent of teenagers use ASMR content for sleep and learning. About the change before and after watching, half of the respondents said they felt a positive difference in learning and psychological stability. As a result, ASMR is a significant content for teenagers with a specific purpose. Therefore, policies such as 'after-school' in terms of school education are proposed as alternatives rather than unilateral measures such as banning ASMR content to teenagers.

• Journal of the Korea Society of Computer and Information
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• v.27 no.2
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• pp.53-60
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• 2022

YouTube realistically shows fake news and biased content based on facts that have not been verified due to low entry barriers and ambiguity in video regulation standards. Therefore, this study aims to analyze the influence of the media and YouTube on individual behavior and their relationship. Data from YouTube and Twitter are randomly imported with selenium, beautiful soup, and Twitter APIs to classify the 31 most frequently mentioned keywords. Based on 31 keywords classified, data were collected from YouTube, Twitter, and Naver News, and positive, negative, and neutral emotions were classified and quantified with NLTK's Natural Language Toolkit (NLTK) Vader model and used as analysis data. As a result of analyzing the correlation of data, it was confirmed that the higher the negative value of news, the more positive content on YouTube, and the positive index of YouTube content is proportional to the positive and negative values on Twitter. As a result of this study, YouTube is not consistent with the emotion index shown in the news due to its secondary processing and affected characteristics. In other words, processed YouTube content intuitively affects Twitter's positive and negative figures, which are channels of communication. The results of this study analyzed that YouTube plays a role in assisting individual discrimination in the current situation where accurate judgment of information has become difficult due to the emergence of yellow media that stimulates people's interests and instincts.

• Journal of Distribution Science
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• v.18 no.6
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• pp.37-46
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• 2020

Purpose: This research aims to explain the influence of social media influencer (SMI), electronic word of mouth (EWOM), and perceived quality (PQ) on purchase intention (PI) of beauty products on YouTube. Youtube as the number 1 social media in Indonesia, has an important role as a promotional strategy media for beauty products. Research design, data and methodology: This study used the online survey to 210 female respondents aged 17-30 years who became a subscriber of an Indonesian beauty influencer. Simple regression and multiple regressions were performed to analyze the independent variables towards the dependent variable. Results: The results show that social media influencer, electronic word of mouth, and perceived quality simultaneously have a significant influence on purchase intention. Nevertheless, only two variables individually have a significant influence on purchase intention, which is social media influencer and perceived quality. Conclusions: Perceived quality and social media influencer could be the best strategies to increase consumers when promoting through the influencer's Youtube channel by utilizing a subscriber. While e-WOM can be influential on other social media platforms rather than on the Youtube platform. Therefore, suggested that digital marketer must use multiple social media platforms to increase consumers' purchase intention.

• Journal of Digital Convergence
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• v.18 no.12
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• pp.81-86
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• 2020

This study aimed to speculate on Youtube for national certification education in makeup in the Untact period derived from the pandemic phenomenon such as the COVID 19. For the purpose, this study surveyed perception on Youtube on national certification education, characteristics of the programs, selection standards, continuance and recommendation intention and supplementations. The results are: The perception on Youtube was very positive(75.5%); Among characteristics, the mean value of informativeness was 3.54, that of play speed control as an advantage was 4.07 and that of feedback limit as a disadvantage was 3.64. In respect to selection standards, 44.5% of the subjects selected a program based on professionalism; 82.0% had continuance intention and 82.6% had recommendation intention. As for the needs of supplementation, the mean value of sanitation education was 4.20, that of updated regulations was 4.13 and that of feedback was 4.0. Therefore, it is suggested that if an interactive education system is supplemented in exact information and feedback, Youtube makeup certification programs will be further facilitated as useful education materials for makeup development.

• Journal of Korea Entertainment Industry Association
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• v.14 no.8
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• pp.63-75
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• 2020

This paper researches the relationship between Youtube K-pop music video views and visual characteristics. K-pop music video, which is the subject of study has intrigued the world since 'Gangnam Style' became Youtube's most viewed video in 2012. This paper questions the existence of element that are related to music video views which is not externally visible and the availability of the discovering the specific element. Previous studies had difficulty in searching the inherent elements of the music video associated with views because they chose a research method that compares music videos based on one or two pieces of work and had a biased result. Therefore, this paper goals to divide nine music videos according to the number of views in three groups and analyze their visual characteristics to find out the differences between the groups and their each features. This paper will contribute to the development of music video field in Youtube market where the number of views is getting more important recently.

• International Journal of Advanced Culture Technology
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• v.9 no.2
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• pp.118-122
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• 2021

Recently we have a lot of Youtube contents and their influence. ASMR content is in vogue through YouTube recently But Just a few Studies have announced Youtube content's effect. The purpose of this paper is to examine whether ASMR helps improve mental stability and learning skills of teenagers who enjoy using it. To this end, a sample comparison of teenagers showed that the sample group that played ASMR had an advantage in psychological stability and learning effects over the comparison group that did not. As a result, half of the respondents felt positive differences in learning and psychological stability. Therefore, rather than unilaterally banning the use of ASMR content at school or at home, it is educationally effective to create an atmosphere where teenagers are understood and joined together. So We suggest that positive use of ASMR would be proposed as alternatives rather than unilateral measures such as banning ASMR content to teenagers.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.01a
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• pp.349-351
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• 2021

Youtube 동영상 업로드 시, 사용자가 직접 주제를 설정해야 하는 어려움이 있다. 본 연구에서는 사용자가 입력하는 제목과 설명정보를 이용하여 자동으로 주제를 분류하는 연구를 진행하였다. 이를 위해 한국어기반의 컨텐츠 중 고빈도의 8개 주제 카테고리를 선정하고, 이를 1.3만건의 학습데이터를 크롤링을 통해 구축하였다. 또한, 다양한 알고리즘들에 대한 최대성능을 확인하기 위해 대표적인 텍스트 분류 방법인 SVM과 LSTM기법 및 BERT 모델기반 미세적용(fine-tuning)을 시도하였다. 결과적으로 Bert-multiligual (base)를 fine-tuning한 실험에서 최대 94%의 정확도를 확인하였다. 하지만, Youtube 동영상 특성상 여러 주제를 가진 것들이 상당수 존재하기에, 실제 체감정확도는 더 높을 것으로 기대된다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.239-240
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• 2021

본 논문에서는 나날이 발전하는 뉴미디어 시장에서 가장 대중적으로 사용되는 유튜브와 이에 업로드되는 콘텐츠들이 개인의 행동 의도에 어떠한 영향을 미쳤으며, 그 영향이 사회적 위험요인으로 어떻게 드러나는지에 대하여 분석한다. 셀레늄과 뷰티풀솝으로 유튜브 콘텐츠 정보를 가져오고, 트위터 에이피아이를 활용해 트위터에서 개인이 작성한 문장들을 받아 엔엘티케이의 배이더로 문장의 감정을 부정, 중립, 긍정으로 분류하여 연구를 진행하였다.

• Journal of Digital Convergence
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• v.17 no.6
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• pp.1-9
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• 2019

In an effort to explore the effects of Youtube video-watching activities on Korean college students' English reading comprehension skills, 148 undergraduate students who enrolled in a General English class at a university in Korea participated in the present study. Participants were randomly classified into four groups - three experimental groups and one control group - according to when they watch videos: before class (n = 33), during class (n = 42), after class (n = 36), and none (n = 37). Over 16 weeks, the three experimental groups engaged in Youtube video-watching activities for about 10 minutes before, during, and after the class, while the control group did not. Pre- and post-tests were administered to confirm the effects of the use of Youtube videos on improving English reading comprehension skills. To compare the improvement between groups, a one-way ANOVA was also run. Major findings are as follows: First, participants in all the three experimental groups significantly improved their English reading comprehension skills, indicating the beneficial effects of Youtube video-watching activities. However, there was no statistically significant difference in the mean improvement between the groups. Based on this, limitations and suggestions for the future research are discussed at the end.

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