• Journal of Korea Multimedia Society
• /
• v.23 no.12
• /
• pp.1576-1585
• /
• 2020

The purpose of this study is to design and apply YouTube ecosystem using digital curation to improve the interaction of untact class. The untact digital instructional model for building the YouTube ecosystem is composed of four modules: domain, tutor, student, and interface, and the role of each module is described. As an application example, the team project "Development and Operation of Instructional Assistant YouTube" is performed in the Introduction to Media Software class. The learning experience is described in terms of professor, peer tutors, and learners, and learning outcomes are presented through surveys.

• International Journal of Internet, Broadcasting and Communication
• /
• v.12 no.4
• /
• pp.42-47
• /
• 2020

YouTube, the online video streaming platform, has become popular and influential around the globe. Due to the development of science and technology, people without expertise in filming can now easily produce their videos with unique content. Many people are more eager to become a popular YouTube creator because they can earn money by placing commercials or Products in Placement (PPL) in their video clips. However, it is yet unknown what genres of YouTube videos are popular. YouTube creators have their channels where they upload videos of a certain type of genre. This study investigates video genres of the top 250 YouTube channels in English-speaking countries (United States, Canada, United Kingdom, and Australia) using Social Blade, which is a research website. The ranking is set based on the number of times people watched a video ("Video Views"). We handsomely analyze popular genres of the channels and also the YouTube ecosystem, and it will be meaningful for today's new media era.

• The Journal of the Convergence on Culture Technology
• /
• v.8 no.3
• /
• pp.113-128
• /
• 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.

• The Journal of the Convergence on Culture Technology
• /
• v.9 no.3
• /
• pp.221-237
• /
• 2023

This study was conducted as part of a phased study aimed at closely examining the mutual ecosystem between creators and viewers through paying attention to the personal media environment that is in the center of rapid changes in the media industry and particularly exploring the areas of activity of the single-person or minority media creators who lead the mobile media environment that could be accessed, viewed and produced anywhere. In particular, this study aimed to not only pay attention to the situation in which the potential to expand professional YouTuber areas encounters the changing desire and demand of content service users who continue to become more evolved as time passes, but also examine the influence of the reputation of professional YouTubers on users' loyalty and subscription intention, examine the moderating effect of sincerity on the relationship between YouTubers and users, and demonstrate such relationship formation process based on concrete data. In the conclusion section, implications that can be drawn from the study results and suggestions for further studies in the future were proposed.

• International journal of advanced smart convergence
• /
• v.13 no.1
• /
• pp.57-68
• /
• 2024

In this paper, we are interested in how creator economy startups allowing creators to make money from doing that they love. So, we look at European creator economy startups among Web3.0 business model landscape surveyed in 2022, because the US is home of Web2.0 giant platforms like YouTube. Totally seventeen European startups are investigated, and the theoretical logic is the disruptive innovation. We firstly review the survey published in 2022 and utilize the theory of the disruptive innovation to design the research framework including questions with each type of the disruptive innovation. In this paper, we firstly show, Kalao and Gem as NFT ecosystem platforms aim at service convenience. Secondly, Talkbase, Passionfroot, Bildr, Customuse, and Earnr aim at providing creator tools for under-skilled customers. Lastly, when it comes direct monetization with a decentralized business model, CrowdPad, Admix, GOALS, Realm, Dropstar, Pianity, Sonomo, Stage11, Miiji, and ReadyPlayerMe are representative. Despite the relatively small data size, the results are meaningful as they contribute to a more profound comprehension of the Web3.0 business models and offer guidance for future research directions.

• Journal of Korea Society of Industrial Information Systems
• /
• v.27 no.2
• /
• pp.163-176
• /
• 2022

As the business ecosystem has become more uncertain, the sources of supply chain risk have also been becoming more diverse. In particular, due to the development of informational technology in recent years, firms need to consider the emerging supply chain risk sources as well as traditional supply chain risk sources. A typical example is negative word-of-mouth by social media. Therefore, we investigated the virality of negative word-of-mouth on manufacturing firms by using YouTube as a representative social media. More specifically, we investigated how the social capital of the video creator influences the virality of negative word-of-mouth and how the emotional tone of the video affects the virality of negative word-of-mouth. In conclusion, the social capital of the video creator influenced the scale and speed of negative word-of-mouth. Furthermore, negative emotion words moderated the relation between the social capital of the video creator and the scale of negative word-of-mouth.