• The Journal of the Korea Contents Association
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• v.8 no.12
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• pp.222-235
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• 2008

This study looks at motivations of video UCC users as a member of creative class. A qualitative research method was used for analyzing data collected by interviews. Killing time users, active clickers and creators are distinguished as different types of UCC users and their differing motivations are explored. The findings of the study are as follows: First, information sharing, self presentation, communication needs, ease of use for self presentation, usefulness are expressed as motivating factors for both active clickers and creators, Pleasure motivates every type of users. However, content creators experience a specific type of pleasure which is the pleasure of creativity or flow, which this study highlights as a key driving factor for content creators. The study adds to the findings of UCC user research which applies the TAM and the PAD model by revealing what pleasure and flow specifically mean for different types of UCC users.

• Archives of Plastic Surgery
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• v.49 no.5
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• pp.614-616
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• 2022

As of November 2021, TikTok has one billion monthly active users and is recognized as the most engaging social media platform. TikTok has seen a surge in users and content creators, ranging from athletes to medical professionals. In the past year, content creators have utilized the app to advocate for social reforms, education, and other uses that were not previously considered. Breast cancer is the most commonly diagnosed cancer in women, with an expected 281,550 new cases of invasive breast cancer in 2021. As more individuals with breast cancer choose to undergo resection, the demand for autologous fat grafting in breast reconstruction has increased due to the natural look and feel of breast tissue. The purpose of this article is to analyze content related to breast reconstruction with fat grafting found on TikTok and recommend methods to improve patient education, care, and outcomes. We searched TikTok on November 1, 2021, for videos using the phrase "breast reconstruction with fat grafting." The top 200 videos retrieved from the TikTok search algorithm were analyzed, and all commentaries, duplicates, and nonrelevant videos were removed. Video characteristics were collected, and two independent reviewers generated a DISCERN score A total of 131 videos were included in the study. They were found to have a combined 1,871,980 likes, 41,113 comments, and 58,662 shares. The videos had an average DISCERN score of 2.16. Content creators had an overall low DISCERN score in items involving the use of references, disclosure of risks for not obtaining treatment, and support for shared decision-making. When stratified, the DISCERN score was higher for videos created by physicians (DISCERN average 2.48) than for videos created by nonphysicians (DISCERN average 1.99; p < 0.001).

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.12
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• pp.1718-1721
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• 2020

This paper proposes a method to protect the copyright of creators' content shared through an online sharing platform in a legal battle. When creators upload their independent creation content to the online sharing platform, it automatically upload information necessary for copyright effect to this system. The data warehouse of this system is as a private blockchain for to ensure non-repudiation and transparency of the information. We present that the data warehouse is to build as Hyperledger Fabric in this paper. And We present the transaction data structure of the blockchain to prevent orphan works. We also dealt with how to build a website where users can conveniently check the data (copyright related information) of this blockchain.

• Journal of Intelligence and Information Systems
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• v.28 no.4
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• pp.275-286
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• 2022

The metaverse platform has been gaining popularity since the pandemic. It facilitates non-face-to-face interaction among creators, users, advertisers, various forms of organizations, and itself. Such interaction has brought light to the new forms of economy, which is called the "creator economy." By providing the virtual space, easy tools, and methods, the platform allows the creators to produce value for the users in the forms of virtual items, content, and experiences. At the same time, it provides audiences to the organizations that need attention. In the course, the platform and the creators generate revenue. Among the diverse revenue sources, this study focuses on revenue generated from advertising and studies how the revenue sharing between the platform and the creator is affected by the abilities of the metaverse platform. With an analysis of the analytical model, we show that if the platform has the ability to reduce advertising avoidance, it can reduce the revenue share of the creator without discouraging the creator from making the proper effort in content creation. Also, as the platform provides effective tools and methods for quality content creation, it can reduce the revenue share of the creator without damaging the creator's required motivation. The ability of the platform in increasing advertising effectiveness helps it to reduce the revenue share of the creator as well.

• The Journal of Information Systems
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• v.29 no.1
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• pp.267-287
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• 2020

Purpose Online platform companies can increase the spread of content by communicating with users who have diverse preferences through social networks. Previous studies show the mixed effect on the network overlap, and there was a limited examinations for the underlying mechanism. This study expects high academic and practical implications that can be provided by studying on the user's viewership network. The purpose of this research is to examine the effects of network overlap on the users' viewership for creators of user-generated content in YouTube. We explain the direct and in-direct effects through the content sharing and the valence of user ratings. Design/methodology/approach The data contains 45 channels and 4,085 video clips from YouTube. We control the effect of the categories, channel characteristics, and vide clip characteristics on the viewership. PROCESS macro were used to analyze the direct and in-direct effects of network overlap. Findings The analysis results showed that the network overlap directly affect on the users' viewership. The variable decreases the moderators (i.e., content sharing and the valence of user ratings). This result implies that the users can not satisfy their need for uniqueness which is achieved by content sharing and rating in the overlapped network.

• Journal of the Korean Society of Floral Art and Design
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• no.41
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• pp.93-114
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• 2019

The purpose of this study is to analyze the characteristics and problems of the content of flower design education videos on YouTube and to search for improvement direction. The subjects of analysis were 129 pieces of videos uploaded in the last one year including 'craftman floral design' as a search term. The result shows that contents covered were practical lectures, theory lectures, test related tips, job and character introduction, test work, educational guidance and publicity. The production format could be divided into studio lecture, classroom lecture, video feature, interview, Vlog, and television program. The hub-type programming strategy that periodically uploads the videos satisfying the target audiences' interests is mostly applied. The type of lecture covered 'practical skill test' got a good response from the users. Overall, content diversity, interaction between creators and users, and harmonious programming strategies are lacking. In order to improve this, it is necessary for emotional and expressive creators to pioneer differentiated fields and practice based on actual field. The introduction of interactive elements such as games and quizzes and the application of new media technologies such as VR and AR are worth trying. Three strategic types of 'hero', 'hub', and 'how to' should be applied complementary. As the demand for education content related to flower design is expected to expand in the future, it is required to develop content that can be used in various platforms, foster professional creators, and develop associated business models.

• Journal of Information Technology Applications and Management
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• v.31 no.3
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• pp.1-18
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• 2024

This study analyzed the impact of YouTube creator characteristics and channel access factors on the intention to continue watching content, noting that the development of the digital media environment has diversified media audiences' content preferences and access routes. Specifically, we analyzed the effects of YouTube creator trustworthiness, attractiveness, familiarity, and social influence, as well as the effects of recommendation services on perceived usefulness, perceived ease, and perceived enjoyment. The study found that creator credibility and recommendation service had a positive impact on the perceived usefulness of content, while intimacy and charm were important factors in increasing the easy of use and playfulness of content. These perceived usefulness, ease, and playfulness also had a strong positive impact on users' intention to continue watching the channel. This suggests that trust and intimate relationships with creators and appropriate content recommendations play an important role in increasing user satisfaction and channel persistence. The significance of this study's analysis of creator and channel access factors based on the extended technology acceptance model is that it shows the potential for extending and applying the existing technology acceptance model to the digital content environment.

• Journal of Broadcast Engineering
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• v.26 no.5
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• pp.489-499
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• 2021

This paper proposes an arts and culture content creation tool powered by artificial intelligence. With the recent advances in technologies including artificial intelligence, there are active research activities on creating art and culture contents. However, it is still difficult and cumbersome for those who are not familiar with programming and artificial intelligence. In order to deal with the content creation with new technologies, we analyze related creation tools, services and technologies that process with raw visual and audio data, generate new media contents and visualize intermediate results. We then extract key requirements for a future creation tool for creators who are not familiar with programming and artificial intelligence. We finally introduce an intuitive and integrated content creation tool for end-users. We hope that this tool will allow creators to intuitively and creatively generate new media arts and culture contents based on not only understanding given data but also adopting new technologies.

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.270-281
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• 2021

The emergence of social media and technical development of smart phone allows media users to produce, share and spread a variety of contents, which results in a big change in their media usage pattern. Among those changes, the most prominent one is Youtube's powerful growth. Creators' enthusiastic content productions and users' active sharing actions are caused of the growth. Recently, creators give a powerful effect on users as social media influencer, and the practice of influencer marketing has been focused. This current study is examined the effects of parasocial interaction and relationship on brand attitude and purchase intention. Specially, parasical interaction is divided into identification, interest, and experience parasocial interaction, and the divisions of relationship are trustworthy, friendship, understanding, and commitment. As a result, interest and trustworthy are significant predictors of brand attitude. Also, experience parasocial interaction is negative and friendship is positive predictors of purchase intention. Theoretical and practical implication are discussed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.4
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• pp.912-917
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• 2004

The increase of illegal usage and conflict in digital content market would diminish motivation of creators for their work, furthermore break down digital content market on cyber-space. Watermarking technology support to the legal users by the protection technique based on the digital content copyright protection method(DRM). Most of previous digital watermarking have embeded to the content. In this paper, we propose a wavelet based watermarking method which is used for implementing in the frequency domain.