• International Journal of Advanced Culture Technology
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• 제11권2호
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• pp.403-408
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• 2023

The widespread discussion of AI-generated content, fueled by the emergence of consumer applications like ChatGPT and Midjourney, has attracted significant attention. Among various AI applications, AI painting has gained popularity due to its mature technology, user-friendly nature, and excellent output quality, resulting in a rapid growth in user numbers. Midjourney and Stable Diffusion are two of the most widely used AI painting tools by users. In this study, the author adopts a perspective that represents the general public and utilizes case studies and comparative analysis to summarize the distinctive features and differences between Midjourney and Stable Diffusion in the context of AI character illustration. The aim is to provide informative material forthose interested in AI painting and lay a solid foundation for further in-depth research on AI-generated content. The research findings indicate that both software can generate excellent character images but with distinct features.

• Journal of Information Science Theory and Practice
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• 제5권1호
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• pp.65-84
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• 2017

Three most popular information services, Periscope, Ustream, and YouNow, vicarious for all Social Live-Streaming Services (SLSSs), are investigated to analyze their streamers' motivations and the user-generated content. Additionally, we collected demographic data (gender and age). More than 7,500 streams by users from the U.S., Germany, and Japan were observed. Main streamer motivations on SLSSs are boredom, socializing, the need to reach a specific group, the need to communicate, and fun. Important content categories on all three SLSSs are chatting, sharing information, 24/7, and 'slice of life.' We were able to identify differences between users from the U.S., Germany, and Japan as well as between the users of Periscope, Ustream, and YouNow. The main motive to stream in the U.S. is to reach a specific group, while in Japan it is socializing, and in Germany boredom. The top content category for both, YouNow as well as Periscope, is to chat; on Ustream it is 24/7 (i.e., webcams).

• Asia Marketing Journal
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• 제22권3호
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• pp.71-85
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• 2020

Social media has emerged as a major hub of engagement between brands and consumers in recent years, and allows user-generated content to serve as a powerful means of encouraging communication between the sides. However, it is challenging to negotiate user-generated content owing to its lack of structure and the enormous amount generated. This study focuses on the hashtag, a metadata tag that reflects customers' brand perception through social media platforms. Online users share their knowledge and impressions using a wide variety of hashtags. We examine hashtags that co-occur with particular branded hashtags on the social media platform, Instagram, to derive insights about brand perception. We apply text mining technology and network analysis to identify the perceptions of brand images among consumers on the site, where this helps distinguish among the diverse personalities of the brands. This study contributes to highlighting the value of hashtags in constructing brand personality in the context of online marketing.

• 한국콘텐츠학회논문지
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• 제12권9호
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• pp.380-388
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• 2012

다양한 웹서비스 참여자들은 콘텐츠의 생산과 공유, 확산 과정에 참여하고 있다. 웹서비스 내 다양한 상호작용을 지원하는 시스템의 반응 역량을 기술적 상호작용성이라 하며, 이는 웹서비스 성공의 핵심요인으로 연구되고 있다. 본 연구는 기술적 상호작용성 구성요인인 사용자 통제성과 동시성, 반응성이 웹서비스 내의 콘텐츠 생산 효율성과 콘텐츠 품질 인식에 미치는 영향을 구조방정식 모형을 통해 탐색적으로 확인하였다. 연구결과 사용자 통제성과 동시성은 웹서비스 내 콘텐츠의 생산 효율성 인식에 긍정적인 영향을 주었으며, 대화적 피드백 역량인 반응성은 웹서비스 내에서 공유되는 콘텐츠의 품질 인식에 긍정적 영향을 주고 있음을 확인하였다. 또한 콘텐츠 생산 효율성 인식이 콘텐츠 품질 인식에 긍정적 영향을 주고 있음을 확인해, 사용자 통제성과 동시성의 품질인식에 대한 간접효과도 확인하였다. 본 연구는 웹서비스 개발 및 운영시 통제 가능한 요인인 기술적 상호작용성이 웹서비스를 통한 콘텐츠 생산 효율성 및 품질 인식에 긍정적인 영향을 주고 있음을 제시함으로써, 고객참여 콘텐츠가 중요한 웹서비스 개발자와 마케터에게 관련성과를 향상시킬 수 있는 웹 기술 활용 및 시스템 구축에 대한 함의를 제공해 주고 있다.

• 정보화정책
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• 제21권4호
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• pp.40-58
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• 2014

본 연구에서는 온라인 정보가 소셜커머스 구매자의 구매결정에 미치는 영향을 조사하였다. 일반적으로 소셜커머스 소비자들이 구매과정에서 이용하는 정보는 사용자 생성 콘텐츠와 판매자 생성 콘텐츠로 나뉜다. 이들 정보유형별로 소비자 구매 의도에 미치는 영향력에 차이가 있을 것으로 예상되며, 이 문제의 해결안은 소셜커머스 사이트 운영자가 어떤 정보 제공원에 보다 관리 초점을 두어야 하는지에 대한 방향을 알려줄 수 있다. 분석을 위하여 온라인 공간에 대한 불확실성의 대책으로 이용되는 신뢰를 매개 변수로 활용하였다. 신뢰 유형은 판매자 측면과 정보 측면으로 나누어서 개체 신뢰와 콘텐츠 신뢰로 세분하였다. 분석결과에 의하면, 판매자 생성 콘텐츠(일반 거래 정보와 안전 거래 정보)는 모두 개체 신뢰에 유의한 영향을 미쳤다. 하지만 사용자 생성 콘텐츠는 명성만이 개체 신뢰에 유의한 영향을 미쳤다. 그리고 소셜커머스 소비자의 구매 의도는 개체 신뢰로부터만 유의한 영향을 받는 것으로 나타났다. 따라서 단기적으로는 소셜커머스 사이트 운영자가 통제가능한 정보 유형인 판매자 생성 콘텐츠(일반 거래 정보와 안전 거래 정보)를 중심으로 소비자의 구매 의도를 높일 수 있는 방안을 모색할 필요가 있다. 장기적으로는 소셜커머스 사이트 운영자의 통제가 어렵고, 형성에 시간이 많이 소요되는 사용자 생성 콘텐츠인 명성을 중심으로 소비자의 구매 의도를 높일 수 있는 방안의 모색이 필요하다.

• International Journal of Computer Science & Network Security
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• 제23권3호
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• pp.101-109
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• 2023

This paper discusses the use of sentiment analysis and text summarization techniques to extract valuable information from the large volume of user-generated content such as reviews, comments, and feedback on online platforms and social media. The paper highlights the effectiveness of sentiment analysis in identifying positive and negative reviews and the importance of summarizing such text to facilitate comprehension and convey essential findings to readers. The proposed work focuses on summarizing all positive and negative reviews to enhance product quality, and the performance of the generated summaries is measured using ROUGE scores. The results show promising outcomes for the developed methods in summarizing user-generated content.

• Journal of Multimedia Information System
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• 제4권3호
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• pp.123-144
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• 2017

Personalized media includes user-targeted and user-generated content (UGC) exchanged through social media and interactive applications. The increased consumption of UGC presents challenges and opportunities to multimedia information systems. We work towards modeling a deep structure for content networks. To gain insights, a hybrid practice with Media Framework (MF) is presented for network creation of personalized media, which leverages the authoring methodology with user-generated semantics. The system's vertical integration allows users to audition their personalized media networks in the context of a global system network. A navigation scheme with dynamic GUI shifts the interaction paradigm for content query and sharing. MF adopts a multimodal architecture anticipating emerging use cases and genres. To model diversification of platforms, information processing is robust across multiple technology configurations. Physical and virtual networks are integrated with distributed services and transactions, IoT, and semantic networks representing media content. MF applies spatiotemporal and semantic signal processing to differentiate action responsiveness and information responsiveness. The extension of multimedia information processing into authoring enables generating interactive and impermanent media on computationally enabled devices. The outcome of this integrated approach with presented methodologies demonstrates a paradigmatic shift of the concept of UGC as personalized media network, which is dynamical and evolvable.

• Journal of Information Science Theory and Practice
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• 제2권3호
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• pp.18-28
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• 2014

Reddit is a large user generated content (USG) website in which users form common interest groups and submit links to external content or text posts of user-created content. The web site operates on a voting system whereby registered users can assign positive or negative ratings to both submitted content and comments made to submitted content. While Reddit is a pseudonymous site, with users creating usernames but providing no biographical data, an informal survey posted to a large shared interest community yielded 734 responses including age and gender of users. This provided a large amount of contextual biographical data with which to analyse user profiles at the first level of Computer Mediated Discourse Analysis (CMDA), articulated by Susan Herring. The results indicate that older Reddit users both formulate more complex writing and enjoy more success when rated by other users. Gender data was incomplete and as such only tentative results could be proposed in that regard.

• Journal of Multimedia Information System
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• 제7권1호
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• pp.25-32
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• 2020

This paper proposes a mobile augmented reality mashup for cultural heritage sites such as natural monuments. Several benefits of mobile augmented reality solutions are ideal for preserving and protecting cultural heritage sites. By presenting mobile augmented reality mashup scenarios and mobile mashup framework, we introduce how user-generated multimedia contents can be added. We present two scenarios of Mashup Viewer and Mashup Maker. In Mashup Viewer mode, visitors can create new AR contents using mashup tools for memo, Twitter, images and statistical graphs. In Mashup Maker mode, other visitors also can view the user-generated multimedia AR contents using QR codes as access points. To show feasibility of our approach in mobile platforms, we compare several detection algorithms on PC and mobile platform and report on deployment of our approach in a natural monument museum. With our proposed mashup tools, visitors to the cultural heritage sites can enjoy default AR contents provided by the site administrators and also participate as active content producers and consumers.

• Asia pacific journal of information systems
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• 제25권2호
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• pp.239-264
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• 2015

This study aims to investigate the effect of message content and source user identity on information diffusion in Twitter networks. For the empirical study, we collected 11,346 tweets pertaining to the three major mobile telecom carriers in Korea for three months, from September to December 2011. These tweets generated 59,111 retweets (RTs) and were retweeted at least once. Our analysis indicates that information diffusion in Twitter in terms of RT volume is affected primarily by the type of message content, such as the inclusion of corporate social responsibility activities. However, the effect of message content on information diffusion is heterogeneous to the identity of the information source. We argue that user identity affects recipients' perception of the credibility of focal information. Our study offers insights into the information diffusion mechanism in online social networks and provides managerial implications on the strategic utilization of online social networks for marketing communications with customers.