• International Journal of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.218-223
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• 2021

The five elements of big data are said to be Volume, Variety, Velocity, Veracity, and Value. Among them, data lacking the Veracity of the data or fake data not only makes an error in decision making, but also hinders the creation of value. This study analyzed YouTube's revenue structure to focus the effect of data integrity on data valuation among these five factors. YouTube is one of the OTT service platforms, and due to COVID-19 in 2020, YouTube creators have emerged as a new profession. Among the revenue-generating models provided by YouTube, the process of generating advertising revenue based on click-based playback was analyzed. And, analyzed the process of subtracting the profits generated from invalid activities that not the clicks due to viewers' pure interests, then paying the final revenue. The invalid activity in YouTube's revenue structure is Raw Data, not pure viewing activity of viewers, and it was confirmed a direct impact on revenue generation. Through the analysis of this process, the new Data Value Chain was proposed.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.224-230
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• 2021

YouTube is an OTT service that leads the home economy, which has emerged from the 2020 Corona Pandemic. With the growth of OTT-based individual media, creators are required to establish attractive storytelling strategies that can be preferred by viewers and elected for YouTube recommendation algorithms. In this study, we conducted a study on modeling that proposes a content storyline for creators. As the ability for Creators to create content that viewers prefer, we have presented the data literacy ability to find patterns in complex and massive data. We also studied the importance of compelling storytelling configurations that viewers prefer and can be selected for YouTube recommendation algorithms. This study is of great significance in that it deviated from the viewer-oriented recommendation system method and proposed a story suggestion model for individual creaters. As a result of incorporating this story proposal model into the production of the YouTube channel Tiger Love video, it showed a certain effectiveness. This story suggestion model is a machine learning text-based story suggestion system, excluding the application of photography or video.

• Journal of Korean Library and Information Science Society
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• v.52 no.2
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• pp.275-301
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• 2021

The purpose of the research is to find out both what information tweens (12~14 years old adolescents) need and how they use YouTube to satisfy with their information needs. In order to achieve the goal, the research collected the data by conducting a survey on tweens (N=130) and analyzed the data with statistical processes. The research found out some significant results: first, tweens frequently use the informaton on YouTube and search for leisure information most often. Second, tweens search for information on YouTube because of ease and convenience on learning information even though they do not trust the information on YouTube. Third, tweens regard that YouTube play the role as a significant information source and searching tool, and use information on YouTube because the information on YouTube are composed of easy-to-understand video format. On the basis of the results, the research suggests and discusses how information organization such as public or school libraries provide information services for youth groups effectively.

• Journal of Korea Society of Digital Industry and Information Management
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• v.16 no.2
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• pp.83-93
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• 2020

The purpose of this study was to verify the effect on learning using YouTube. The relationship between expectations, cognitive attitudes, emotional attitudes, and reuse intentions was explored. The results are as follows. First, the factors affecting the intention to reuse YouTube were emotional attitude and expectation. cognitive attitude did not show any significant effect. Second, cognitive attitude and expectation agreement were significant variables in emotional attitude. cognitive attitude was identified as a major factor affecting emotional attitude. Third, expectation agreement was found to have a significant influence on cognitive attitude. Therefore, expectancy is an important factor in identifying cognitive attitudes. In particular, the satisfaction of expectations after experiencing a new technology or system, such as YouTube, affects the cognitive attitude. Finally, the main findings of this study were that cognitive attitude was not a variable affecting the intention to reuse YouTube. The reason for this is that YouTube is used as a medium of interest, and it is not used as a medium for searching the main data source for learning. Therefore, in order to activate YouTube learning, it is necessary to convert recognition into YouTube for learning rather than YouTube for play.

• Asia pacific journal of information systems
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• v.31 no.3
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• pp.277-295
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• 2021

This paper examines the features that make a YouTube channel attractive to users. Considering that drawing users' attention is challenging on this platform, where voluminous amounts of videos are available, it is crucial to identify the factors that make users intend to subscribe to a YouTube channel. In this study, we used an online survey to collect data from 1125 respondents and an SEM model using Smart PLS 3.2.8 to analyze it. The results show that integrity and familiarity with a YouTube channel are positively correlated with trust in its creator, which leads to subscribing to the YouTube channel; value and accuracy also positively affect intention to subscribe to a YouTube channel via trust in content. This study enriches the field of research about trust in the creator and trust in content.

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

• 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.

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

• Management & Information Systems Review
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• v.39 no.3
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• pp.127-140
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• 2020

This study conducted analysis of YouTube channels by domestic companies as the marketing strategies of domestic companies vary due to the rapid growth of the Internet and YouTube channels. The YouTube channel analysis analyzed the number of subscribers, plays, videos and classifications of domestic companies on YouTube channels, the top 100 domestic companies in the YouTube ranking site "Company/Official. The analysis showed that 4.53 million companies had the largest number of subscribers, Samsung mobile, 544.69 million circuit Samsung mobile, and 11,416 League of Legends-Korea channels had the largest number of videos. The most product classification showed that food/dining companies were engaged in a lot of YouTube activities. The use of YouTube, which is rapidly growing in companies through analyzing YouTube channels from the perspective of a company's new marketing strategy, is a new tool for integrated marketing communications. It is expected that the YouTube channel, which enables two-way communication of companies' marketing strategies, will be used as basic data when producing YouTube content in the future.

• International Journal of Advanced Culture Technology
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• v.12 no.1
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• pp.1-10
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• 2024

While technologies such as the 4th revolution and artificial intelligence (AI), which create new value through the convergence of intelligent information technology, are becoming hot topics, the beauty industry is rapidly developing and combining information and communication technology to produce beauty items based on smartphones among mobile technologies. As the area of expands, YouTube is forming a network through various means of information. In particular, beauty-related YouTube videos are a field of great interest and popularity among the public. By classifying the makeup characteristics according to the emotional images shown in domestic YouTube videos by emotional image and identifying the characteristics of makeup, the needs for watching YouTube makeup videos are identified. We aim to build trust in the delivery of information about makeup. The emotional images were divided into four types: 'modern', 'natural', 'gorgeous', and cute. Among the domestic makeup YouTubers, Pony, Isabe and Shinnim, Lamuque were selected. By organizing more diverse makeup-related content systematically and creatively, we expect to have a positive influence on k-makeup not only domestically but also overseas. We aim to provide basic data for follow-up research on makeup YouTuber videos in the field of cosmetology and contribute to marketing plans for the development of the beauty content industry and establishment of promotional strategies.