• International journal of advanced smart convergence
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• v.6 no.2
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• pp.34-50
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• 2017

This study delved into the effects of labor union members' social media utilization for the formation of labor union social capital. Specifically, this study aimed to identify the effects of labor union-related social media use and participation on the labor union's social capital formation through quantitative and qualitative research. It set up trust, network, and participation as social capital components and as dependent variables. Network, in particular, was divided into bonding and bridging aspect. There is the correlation between labor union-related social media use and the formation of labor union social capital. As participation in the group type social media operated by a labor union becomes more active, evaluation on labor union social capital throughout trust, network, and participation is higher. Especially, the correlation between bonding network and bridging network was high. This proves that a labor union's bond enhancement does not result in the labor union's selfishness, but it can build a cooperative system with an external network.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.2
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• pp.113-119
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• 2020

Numerous tourist-related data produced on the Internet contain not only simple tourist information but also diverse ideas and opinions from users. In order to derive meaningful information about tourist sites from such big data, the social network analysis of tourist keywords can identify the frequency of keywords and the relationship between keywords. Thus, it is possible to make recommendations more suitable for users by utilizing the clear recommendation criteria of tourist attractions and the relationship between tourist attractions. In this paper, a recommendation system was designed based on tourist site information through big data social network analysis. Based on user personality information, the types of tourism suitable for users are classified through deep learning and the network analysis among tourist keywords is conducted to identify the relationship between tourist attractions belonging to the type of tourism. Tour information for related tourist attractions shown on SNS and blogs will be recommended through tagging.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.5
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• pp.169-175
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• 2012

The Great East Japan Earthquake left some implications. Especially the case of alerting by social media had present. This paper suggests system for posting earthquake information to microblog like twitter and me2day. Microblog is most efficient and effective social media. So, this system receive earthquake information from the Earthquake Broadcast System in the Korea Meteorological Administration and post the information to twitter and me2day. By this system, earthquake information can be notice easily and response can be checked.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.5
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• pp.193-201
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• 2011

This paper presents the holistic notion and model of an open social u-learning community, anchored with open content, providing an interactive online study group experience akin to sitting with study buddies on a world-wide campus quad. The interactive social u-learning community design helps conceptualize and maximize advantages of ubiquitous environment in learning. The model is enabled by state-of-the-art web technologies; real-time collaboration technologies for a highly interactive experience; intelligent recommender systems to help learners connect with relevant content and other learners; and mining and analytics to assess learner outcomes. Hence, u-learning design is highly scalable yet interactive and engaging.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.4
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• pp.1-8
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• 2022

This study examined the effect of Internet exposure on plastic consumption behaviors, and the mediating effect of social norms. The survey participants in this study were 220 college students. Collected data were analyzed by the SPSS 26.0 and PROCESS macro 4.1 (model 4). The results of this study showed that the relationship between Internet exposure and intention to plastic consumption was mediated by descriptive norms. These results suggest that Internet exposure and social norms are important factors that can promote or constrain plastic consumption behaviors. Based on these results, we presented the theoretical and practical implications of this study.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.4
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• pp.332-341
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• 2023

Notable trends in the restaurant start-up market after the lifting of social distancing include increasing interest in start-ups, emphasizing the importance of food quality and diversity, decreasing the relative importance of delivery services, and increasing interest in certain industries. The data collection period is three years from April 2021 to May 2023, including before and after social distancing, and texts extracted from blogs, news, cafes, web documents, and intellectuals provided by Naver, Daum, and Google were collected. For the collected data, the top 30 words were derived through a refining process. In addition, based on April 2021, the application period of social distancing, data from April 2021 to April 2022, and data from May 2022 to May 2023, Through these changes in trends, founders can capture new opportunities in the market and develop start-up strategies. In conclusion, this paper provides important insights for founders in accurately understanding the changes in food service start-up trends and in developing strategies appropriate to the current market situation.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2015.07a
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• pp.187-190
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• 2015

현재를 '빅데이터' 시대라 부른다. '빅데이터', 그 용어가 주는 의미대로 우리가 처리해야 할 데이터가 매우 많다는 것을 의미 하며, 과거의 데이터 정제 기술로 유의미한 정보로 가공하려면 상당한 자원이 필요하다. 현재, 장비의 고성능화 등으로 가능성이 검증되고 있고, 일부 비즈니스에 활용되는 단계이나 여전히 혼돈의 문제가 존재하며, 이러한 문제의 해결책으로 제시되는 것 중의 하나가 바로 '소셜 큐레이션'이라 할 수 있다. 본 개발 서비스1)는 시청자들이 방송 콘텐츠를 소유하고 공유하고자 하는 욕구를 반영하여, 실시간으로 TV를 보면서 방송 프로그램을 캡처하고 공유할 수 있게 한다. 방송콘텐츠에 관한 '소셜 큐레이션' 서비스이며, 이는 각 사용자들이 캡처하여 생성한 수많은 콘텐츠 중에서 사용자들이 원하는 콘텐츠를 사용자들의 사회적인 관계를 이용하여 선별적으로 제공할 수 있도록 구성한 것이다. 본 논문에서는 서비스의 개발 방향과 시스템 구성 등을 설명한다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2014.11a
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• pp.182-185
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• 2014

현재를 '빅데이터' 시대라 부른다. '빅데이터', 그 용어가 주는 의미대로 우리가 처리해야 할 데이터가 많다는 것을 의미하며, 과거의 데이터 정제 기술로는 유의미한 정보로 가공하기에는 상당한 노력이 필요하다는 것을 암시하고 있다. 현재 장비의 고성능화 등으로 가능성이 검증되고 있고 일부 비즈니스에 활용되는 단계이나, 여전히 혼돈의 문제가 존재하며, 이러한 문제의 해결책으로 제시되는 것 중의 하나가 바로 '소셜 큐레이션'이라 할 수 있다. 본 'TVzzik' 서비스는 시청자들이 방송 콘텐츠를 소유하고 공유하고자 하는 욕구를 반영하여, 실시간으로 TV를 보면서 방송 프로그램을 캡처하고 공유할 수 있게 한다. 방송콘텐츠에 관한 '소셜 큐레이션' 서비스이며, 이는 각 사용자들이 캡처하여 생성한 수많은 콘텐츠 중에서 사용자들이 원하는 콘텐츠를 사용자들의 사회적인 관계를 이용하여 선별적으로 제공할 수 있도록 구성한 것이다. 본 논문에서는 'TVzzik' 서비스의 개발 방향과 시스템 구성 등을 설명한다.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.3
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• pp.205-212
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• 2022

The purpose of this study is to investigate the structural relationship between the viewing motivation, viewing commitment, re-audience intention, and game use intention of e-sports competition broadcast viewers. According to the purpose of the study, an online survey was conducted on 300 college students with experience watching broadcasting of e-sports competitions. After excluding inappropriate data from 8 out of 300 people, 292 people's data were used for final data processing. For data processing, the validity and reliability were verified using SPSS 26 and AMOS 23, and then the research hypothesis was verified. We has the results were shown as follows. First, it was found that entertainment, social intercourse and vicarious satisfaction had a positive effect on viewing commitment, but information has not significantly effect on viewing commitment. Second, it was found that viewing commitment had a positive effect on reviewing intention and game use intention. Third, it was found that reviewing intention had a positive effect on game use intention.

• Electronics and Telecommunications Trends
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• v.39 no.2
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• pp.43-53
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• 2024

The media environment is rapidly evolving to be tailored to viewers using personal mobile devices in accordance with technological evolution and changes in social structures. Broadcast media technology is also advancing to enable new services, including data casting, in various reception environments beyond the existing fixed environment and one-way audio/video content services. In addition, technologies to increase the transmission capacity to accommodate next-generation large-capacity media content as well as communication network utilization and convergence technologies are being developed to facilitate interactive services and expand the broadcasting coverage. We discuss the current status and future prospects in broadcasting technology for terrestrial and mobile communication systems and analyze broadcasting technology elements for upcoming media environments relying on generative artificial intelligence.