• The Journal of the Korea Contents Association
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• v.22 no.8
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• pp.14-32
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• 2022

This study aims to examine the perception of false information and deepfakes according to the experience of being exposed to false information and deepfake images for YouTube content users. The study used the data from 'YouTube Use and False Information Exposure Experience' conducted by the Korea Press Foundation in 2018. For the statistical analysis, correspondent analysis was employed. The main results followed as: First, it was found that men who have been exposed to false information are most seriously aware of the problems caused by false information on YouTube. Second, regarding the need for regulation on deepfake images, women who have experienced exposure to deepfake images tended to agree, and women had a stronger awareness of the need for regulation due to damage to deepfake images than men. While YouTube users generally agree that regulation is necessary, it is required to educate YouTube users about the types of disinformation and deepfakes. In particular, it is considered to be desirable to create an environment for the self-regulation of the producers and distributors.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.501-508
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• 2024

The rapid development of digital media has led to a swift transition of video content consumption to new media channels. Terrestrial broadcasters that have expanded their strategies to include YouTube channels have achieved significant success, even to the extent of restructuring their revenue models. Based on these successful examples, local terrestrial broadcasters have been striving to expand their presence on YouTube. However, the results have been modest thus far. This study examines how terrestrial broadcasters in Gwangju are utilizing YouTube and employs Q methodology to analyze the audience preferences for their YouTube content. The analysis identified three types of audience preferences: "Trend-Sensitive," "Emotionally-Focused," and "Regionally-Attached." Tailored content creation strategies were proposed for each type. This approach not only provides practical guidelines for establishing YouTube strategies for Gwangju's terrestrial broadcasters but also helps to develop policies for producing sustainable and evolving high-quality content in the new media era.

• Journal of Digital Convergence
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• v.18 no.5
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• pp.411-416
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• 2020

This study is an empirical study to see if the existing media effects have an effect on the perception of the audience in the media such as newspapers, TV, movies, etc., and whether the viewing of YouTube, an internet-based new media without gatekeeper, can affect the perception of the audience. For this study, 76 university students were divided into two groups, one group was asked to watch YouTube videos about no-buy campaign of Japanese products, and the other group was asked to watch short films for four weeks each, and then the perception and attitude of the issue were measured and analyzed through a survey. The results of the analysis showed that the audience who watched YouTube videos thought that no-buy campaign was more important than the audience who did not watch YouTube videos, and that they would participate more actively in no-buy campaign. The results of this study can be meaningful in that it confirmed the effects of the agenda setting effect and the priming effect of YouTube. It is expected that the theory of the media effect of YouTube will be established as the study on the audience effect in various fields such as politics, economy, society, culture of YouTube continues.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.676-684
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• 2021

This study examined how much Korean male middle school students used YouTube to determine if the social support from parents, teachers, and friends might moderate the relationships between YouTube overuse and internalizing and externalizing problems. Three hundred and twenty male middle school students completed questionnaires asking about their YouTube use, levels of YouTube addiction, internalizing and externalizing behaviors, and the degree of social support from parents, teachers, and friends. The results indicated that the YouTube addiction was positively related to the levels of internalizing and externalizing problems. Parental support moderated the relationships between YouTube addiction and internalizing problems. On the other hand, the moderating effects of teachers' or friends' supports were not significant. In contrast, teachers' support was the most crucial moderating factor regarding externalizing problems, while parental and friends' supports were only related to delinquency but not to aggression. These results suggest that the role of parental or teacher supports should be unique depending on the types of problem behaviors. Furthermore, the 'protective effects' of social support were not found in the highly addicted group, suggesting that the early prevention of YouTube overuse is a crucial intervention.

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.66-75
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• 2021

The research is centered towards analyzing the usage status of YouTube platform and the nature of content supplied to YouTube by selecting Korean two Traffic Broadcastings Based on TBS(Traffic Broadcasting System) and TBN(Traffic Broadcasting Network). TBS operates 'Citizen's Broadcasting', which has 1.1 million subscribers among 13 YouTube channels, as its main channel. TBN has only 15,000 subscribers to its main 'TBN Tong', and YouTube channels in 12 local networks. TBS which has a dedicated YouTube manpower, is far ahead of TBN in terms of YouTube channel management and content composition. Both broadcasters are passive about creating new media content due to job stability. For the development of the YouTube platform for these two broadcasters, organizational changes within traffic broadcasting and changes in the perception of members are required, and live broadcasting and discovery of star creators are required. In the changing media environment two traffic broadcastings need a program distribution strategy that can be included in various media platforms.

• Journal of Intelligence and Information Systems
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• v.29 no.3
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• pp.19-36
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• 2023

As advances in information and communication technology have made it easier for anyone to produce and disseminate information, a new problem has emerged: fake news, which is false information intentionally shared to mislead people. Initially spread mainly through text, fake news has gradually evolved and is now distributed in multimedia formats. Since its founding in 2005, YouTube has become the world's leading video platform and is used by most people worldwide. However, it has also become a primary source of fake news, causing social problems. Various researchers have been working on detecting fake news on YouTube. There are content-based and background information-based approaches to fake news detection. Still, content-based approaches are dominant when looking at conventional fake news research and YouTube fake news detection research. This study proposes a fake news detection method based on background information rather than content-based fake news detection. In detail, we suggest detecting fake news by utilizing related video information from YouTube. Specifically, the method detects fake news through CNN, a deep learning network, from the vectorized information obtained from related videos and the original video using Doc2vec, an embedding technique. The empirical analysis shows that the proposed method has better prediction performance than the existing content-based approach to detecting fake news on YouTube. The proposed method in this study contributes to making our society safer and more reliable by preventing the spread of fake news on YouTube, which is highly contagious.

• International Journal of Advanced Culture Technology
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• v.8 no.2
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• pp.146-158
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• 2020

As one of the successful brand activism ad campaigns in recent years, the current study focuses on the Always #LikeAGirl campaign that took on the issue of girls and female empowerment. As a viral video marketing campaign with YouTube as their main vehicle for campaign dissemination, this study examined how Always brand activism campaigns spread on YouTube by conducting a network analysis of YouTube video networks generated by the #LikeAGirl campaign spanning across five campaign periods. Quantifiable data (i.e., views, comments, likes, dislikes, user-generated videos) and structural network patterns show that the Always #LikeAGirl campaign was successful by both standards. Although the follow-up campaign periods were not as successful as the initial campaign, the substantial amount of views, comments, likes, and user-generated content showed that the consecutive campaigns still had impact. As shown through the network patterns, the main campaign ads were central in the diffusion of the campaign during the earlier periods but that role was passed onto the user-generated contents in the later periods. Implications of the findings and future social network analysis studies in brand advertising and brand activism campaigns are further discussed.

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

• Journal of Information Science Theory and Practice
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• v.11 no.3
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• pp.29-42
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• 2023

This study explored issues related to the library in the COVID-19 era in YouTube videos in Korea. This study performed social network analysis and topic modeling analysis by collecting 479 YouTube videos, 20,545 words, and 8,379 channels related to COVID-19 and the library from 2019 to 2020. The study results confirmed that YouTube, a social media platform, was used as an important medium to connect users and physical libraries and provide/promote online library services. In the study, major topics and keywords such as quarantine, vlog, and library identity during the COVID-19 pandemic, library services and functions, and introductions and user guides of libraries were derived. Additionally, it was identified that videos about COVID-19 and the library are being produced by various actors (news and media channels, libraries, government agencies, librarians, and individual users). However, the study also identified that the actor network is fragmented through the channel network, showing a low density or weak linkage, and that the centrality of the library in the actor network is weak.

• The Journal of Information Systems
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• v.28 no.3
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• pp.25-38
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• 2019

Purpose This study aims to empirically analyze which factors affect image and preference of YouTube beauty channels. Some practical and academic implications are presented through empirical research. Design/methodology/approach For this purpose, the six affecting factors were suggested on the basis of previous studies. We proposed image quality, user attitude, empirical value, economics, and awareness as independent variables and channel image and channel preference as dependent variables in order to investigate the causal relationships among the research variables. We surveyed 311 users who had experience in using YouTube Beauty channel and analyzed the data by using a statistical package. Findings This study showed that the channel image has a partial mediating effect between the affecting variables and the channel preference. The results provided some insights and information to increase the number of subscribers and site views. Several suggestions were carefully made.