• Journal of Information Technology and Architecture
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• v.11 no.1
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• pp.33-44
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• 2014

Recently, blogs have attracted much attention as personal media. The power of blogs as a way to provide valuable resources on Internet is so tremendous because of the high speed of information dissemination and the huge influence of the circulated information on Internet users even when the information itself is not true. Especially, contents on blogs that attract a lot of public attention are sometimes reproduced or magnified in an inappropriate way. In this paper, a method to measure the trust level of contents posted on personal blogs is proposed to reduce the damage of wrong information circulated along with blog networks. Trust variables such as relationship data in SNS are used to measure the comparative trust level of blog contents. The structure of the prototype system is also designed to apply this framework to blogsphere.

• 한국정보교육학회:학술대회논문집
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• 2011.01a
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• pp.233-240
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• 2011

Social Media is the open online tool and media platform for sharing and participation of users opinion, experience, viewpoiont, so general situation that is one-side flowing from production to consume doesn't act, and while use of two-way, user create contents use of sharing and participation. This social media include Blog, Social Network Service(SNS), Wiki, User Create Contents(UCC), Micro Blog, 5 types. In broad terms, Social Learning is self-learning that user sharing with coperation and collective intelligence through Social Media, and in few wards Social Learning is learning for Social Media. In this research, we define Social Media and Social Learning, and research of method of use of Elementary Education.

• Informatization Policy
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• v.18 no.3
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• pp.3-24
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• 2011

The purpose of this paper is to indicate possible future research directions for social network services(SNS) by reviewing past and recent trends in SNS studies. The framework used for the analysis is the New Media Evolutionary Model(NMEM) proposed by Wimmer and Dominick, a four-phase system for research on new media development. Although early forms of SNS emerged in the late 1990s, most research in this field has been published in the past five years. We searched for SNS-related articles published from 2006 to August 2011 from academic journal archives in information systems, communication, marketing, and other fields, and classified them according to the NMEM to analyze the current state of SNS research. Researchers in this field have so far focused on the first two phases of the model(the media itself and use of the media), but little research has been conducted on the third(effects of the media) and fourth phases(improvements in the media). Although SNS research is still in its early stages, we suggest the need for more studies on the effects of SNS and how it can be improved. Very few studies test existing theories or build new theories related to SNS. Thus, a more rigorous approach towards SNS research is warranted, and future research should focus on theory building and testing.

• The Journal of the Korea Contents Association
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• v.11 no.7
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• pp.60-69
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• 2011

As the mobile industry has developed, people have become to pursue more delicate information exchange and close relationships between individuals through it. According to such a request, Social Networking Services have been activated based on short messages. Moreover, in combination with smart phones, the needs for adding location information is recently increasing more and more. Security and Privacy problems, however, are raised because such location information is so sensitive and may be used maliciously by someone else. Especially, storing location information of family members in a public server may become a negative factor to hinder people from utilizing such services. Therefore, this paper proposes a location based SNS service using smart phones for home community that runs on a home server in a house so that relationships between family members at home may be closer and improved through utilizing the service.

• 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.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2011.07a
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• pp.308-309
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• 2011

최근 소셜 미디어(Social Media)라는 말은 컴퓨터 관련 연구분야에 종사하는 사람들 뿐만 아니라 일반 사람들도 모르는 사람이 없을만큼 중요하고, 많이 쓰이는 말이다. 본 연구에서는 인터넷과 통신기기의 발달로 이러한 소셜 미디어들이 사용자들이 감당할 수 없을 만큼 생성되지만 이러한 소셜 미디어를 어떻게 사용하고 효율적으로 묶어서 표현해야 하는지에 관한 연구이다. 소셜미디어의 종류에는 블로그, 소셜 네트워킹 서비스(SNS), 위키, UCC, 마이크로 블로그 등으로 나누어진다. 본 연구에서는 Social Media를 기반으로 Tangible Blog를 위한 콘텐츠를 저작하는 시스템에 관한 연구를 진행한다. 여기서 소셜미디어는 일반적으로 사용되는 사진, 동영상, 효과음, 텍스트에 3D Contents를 추가는 것을 목표로 한다. 3D Contents는 현재 게임분야에 많이 사용되고 있는 Kinect를 이용하여 생성하고 이러한 소셜 미디어들을 Web 환경에서 Authoring 하는 방법에 관한 연구를 소개한다. 최종적으로는 현재 많이 사용되고 있는 Blog의 형태에서 발전한 Tangible Blog를 만드는 것이 목표이다. 여기서 Tangible Blog는 기존의 텍스트, 음악, 동영상 등의 소스를 이용한 사용자의 일상생활 및 의견 표현을 넘어선 3D Contents의 활용, 스토리텔링 기법 활용 및 Sensory Effect를 활용한 실감 있는 블로그를 만드는 것을 목표로 한다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2012.11a
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• pp.88-91
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• 2012

최근의 미디어 생성/소비 패턴은 UCC 같은 소비자가 직접 미디어를 생성하고 소비하는 프로세스가 등장하여 일반화되고 있다. 본 연구는 이러한 동향에 발맞추어 다종의 멀티미디어 콘텐츠의 소비를 바탕으로 이를 소셜 네트워킹화하고 이를 통해 개인화된 맞춤형 콘텐츠를 추천할 수 있는 추천 에이전트를 개발하였다. 방송/통신망 상에 존재하는 다양한 콘텐츠 중에 사용자의 선호패턴과 일치하는 콘텐츠들을 추천하여 서비스하는 본 시스템은 유무선 환경을 망라하는 다기종의 디바이스들을 위한 플랫폼들을 지원하고 있다.

• Spatial Information Research
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• v.20 no.2
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• pp.129-136
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• 2012

Recently international organizations such as ISO/TC211, OGC, INSPIRE (Infrastructure for Spatial Information in Europe) make an effort to share geospatial data using semantic web technologies. In addition, smart phone and social networking services enable community-based opportunities for participants to share issues of a social phenomenon based on geographic area, and many researchers try to find a method of extracting issues from that. However, serviceable spatial ontologies are still insufficient at application level, and studies of spatial information extraction from SNS were focused on user's location finding or geocoding by text mining. Therefore, a study of extracting spatial phenomenon from social media information and converting it into geosemantic knowledge is very usable. In this paper, we propose a framework for extracting keywords from micro-blog, one of the social media services, finding their relationships using data mining technique, and converting it into spatiotemopral knowledge. The result of this study could be used for implementing a related system as a procedure and ontology model for constructing geoseem antic issue. And from this, it is expected to improve the effectiveness of finding, publishing and analysing spatial issues.

• Journal of Digital Convergence
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• v.17 no.7
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• pp.317-329
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• 2019

Instagram, a photo and image centered social networking service, has received increasing attention these days, from scholars and practitioners. However, little is known about the social and psychological factors that lead consumers to use this service. To provide a baseline understanding on Instagram users, the current study was conducted to discover perfectionistic self-presentation tendency expressed by the Instagram users and explore the relationships between identified perfectionistic self-presentation and intention to use Instagram variables with 250 participants. In addition, this study tried to determine the moderator effect of self-efficacy and self-construal. A comprehensive survey was directed and a total of 380 participants were recruited to verify anticipated hypotheses and research questions. The research results suggest that perfectionistic self-presentation has five sub factors: others conscious self-presentation, subjective self-presentation, environmental adaptation self-presentation, self-expansion self-presentation, and social self-presentation. The implications of this research findings are discussed.

• Journal of Internet Computing and Services
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• v.16 no.1
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• pp.83-90
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• 2015

This paper examines the rising value of social networked journalism and analyzes the case of a social news site based on the theory of networked journalism. Social networked journalism allows the public to be involved in every aspect of journalism production through crowd-sourcing and interactivity. The networking effect with the public is driving journalism to transform into a more open, more networked and more responsive venue. "wikitree" is a social networking news service on which anybody can write news and disseminate it via Facebook and Twitter. It is operated as an open sourced program which incorporates "Google Translate" to automatically convert all its content, enabling any global citizen with an Internet access to contribute news production and share either their own creative contents or generated contents from other sources. Since its inception, "wikitree global" site has been expanding its coverage rapidly with access points arising from 160 countries. Analyzing its international coverage by country and by news category as well as by the unique visit numbers via SNS, the results of the case study imply that networking with the global public can enhance news traffic to the social news site as well as to specific news items. The results also suggest that the utilization of Twitter and Facebook in social networked journalism can break the boundary between local and global public by extending news-gathering ability while growing audience's interest in the site, and engender a feasible business model for a local online journalism.