• Journal of Intelligence and Information Systems
• /
• v.17 no.4
• /
• pp.75-94
• /
• 2011

In this paper, we explore the information diffusion mechanism under social network environments by investigating the effect of message characteristics on the volume and speed of retweeting in Twitter, a popular online social media service. To this end, we select eight main keywords (i.e., '무상급식', '반값등록금', '나가수', '평창', '김연아', '박태환', '아이폰', '갤럭시') that have been popular on online social media in recent days. Each keyword represents various social aspects of Korea that recently grab people's attention such as political issues, entertainment, sports celebrities, and the latest digital products, and eventually holds distinctive message characteristics. Analyzing the frequency and velocity of retweeting for each keyword, we find that more than half of the sample messages posted on Twitter contain personal opinions for the certain keyword, but we also find that the tweets which include objective messages with hyperlink are the fastest ones when being retweeted by other followers. In overall, when being retweeted, the group of messages related to the certain keyword present distinctive diffusion patterns and speed according to message characteristics. From academic perspective, the findings in the study broaden our theoretical knowledge of information diffusion mechanism over online social media. For practitioners, the results also provide managerial implications regarding how to strategically utilize online social media for marketing communications with customers.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.27 no.3
• /
• pp.151-171
• /
• 2016

This study investigated the contents of twitters of metropolitans by year and city using language network analysis. The possibility of twitter as a medium of information provision was also explored. This study employed KrKwic, Ucinet6, and Netdraw programs to conduct language network analysis. As the results, the network was mainly formed with information about civic administration (citizen, management, opening service, participation) and information about citizens living (cultural events, parks, way to work) in 2014. However, information about civic service and announcement (citizen, civic opinion, opening service, civic service, events) occupied a central role in the network of 2015. The results showed that different keywords were derived by year and city in network analysis by city.

• The Journal of the Korea Contents Association
• /
• v.14 no.1
• /
• pp.139-149
• /
• 2014

This study attempts to explore the inter-media agenda setting effect between television and Twitter based on the framework of the two-step flow theory. Twitter's increasingly important role in political communication can be effectively addressed by examining the process by which Twitter users form their opinions on television debate program. Content analyses of Twitter discussions after television debate of the Korean presidential candidates provided interesting insights into how Twitter's opinion leaders reflect on the televised debates. The results show that Twitter mentions rather focus on personality traits of the candidates while television debates emphasize the candiates' policy issues. Specifically, Twitter users mainly concentrated on the political ideology and morality of the candidates. In sum, Twitter seems to have its own way of influencing the public opinion separately from the television.

• Korean journal of communication and information
• /
• v.59
• /
• pp.138-161
• /
• 2012

This study is designed to explore the function of Twitter as a campaign platform during election campaign. For exploring the function of Twitter the form of tweet, the type of information on tweet and the way of opinion expression via Twitter were discussed by content analysis. This study finds, first, that, netizens express their opoinion of candidates without foundation and with emotional reactions. Second, they showed somewhat conflictive reactions according to their supporting candidates. This study conceptualized various kinds of public as 'blindly support public,' and 'blindly opposition public' in case of Park's supporters, 'rational support public,' and 'critical opposition public' in case of Na's supporters. Third, Park's supporters debated Na candidate's attitude of debate and her appearance blindly without foundation. Na's supporters argued Park's attitude of debate and his ignorance of Seoul Metropolitan government's policy blindly without foundation. Finally, this study discussed the relationship between the political discourse according to netizens' supporting via Twitter and the results of election. Park whose supporters attacked the opposing candidate by blaming her appearance and her attitude of debate won the election. Na didn't overcome her negative images. For her Twitter functioned as a media which is spreading negative factors about her. In conclusion, Twitter as a campaign platform during election times plays a key role in discussing candidates. However, netizens need to express their opinions with foundation and the candidates have to consider negative issue management. This study highlights the importance of peripheral factors which have a decisive effect on the results of election. The results of this study is useful for building political campaign strategy by candidates.

• Journal of Intelligence and Information Systems
• /
• v.18 no.2
• /
• pp.107-130
• /
• 2012

In Twitter, a user can post a message below 140 characters on his/her account, and can also repost a message of other users who the user follows. The message posted by the user in turn can be seen and reposted by other users who follow the user, which is called Re-tweet (RT). While some messages spread widely, other messages have relatively less or no RT. What factors cause these quantity variances of RT originated from original messages? How can the messages become influential in online social networks? As an effort to answer the above questions, we focused on information vividness, message characteristics, and originator characteristics. In perspective of managerial implication, we expect that the findings of this paper will provide corporations with helpful insight on the Word-of-Mouth (WOM) effect for efficient and effective advertisements and communications when they send a message of new products or services through Social Network Services. In perspective of academic implication, we identify the effect of contents of a message on WOM, which has been dealt with by few social network researches.

• Information Systems Review
• /
• v.19 no.3
• /
• pp.91-104
• /
• 2017

This study aims to understand the differences in the media characteristics of two types of media, namely, Blog and Twitter, as well as in their factors that affect product information diffusion. To achieve these objectives, the information diffusion pattern is identified by analyzing the number of product-related posts in each media based on the Bass model. The analysis results revealed that the information diffusion speed of hedonic goods was faster than that of utilitarian goods. Regardless of product type, Twitter had a higher imitation effect than Blog, while Blog had a higher innovation effect than Twitter. The results implied that users of Blog tended to find information by themselves while those of Twitter relied more on the others' evaluation than their own subjective evaluations of innovations.

• Proceedings of the Korean Society for Information Management Conference
• /
• 2010.08a
• /
• pp.81-88
• /
• 2010

오늘날과 같은 정보통신 발달의 시대에서 정보 전달의 신속성과 접근성을 보장하는 것은 정보서비스 기관의 경쟁력 강화에 매우 중요한 일이다. 마이크로 블로깅을 제공하는 서비스 중 하나인 트위터는 web 2.0 서비스의 대표주자로 시 공간을 초월한 도서관 정보서비스의 신속성과 접근성을 지원하는 강력한 도구로 부상하고 있다. 이에 본 연구에서는 국내외 도서관의 트위터를 중심으로 마이크로 블로깅을 활용한 정보서비스 적용사례를 조사하고 이와 같은 신기술 적용 활성화를 위한 시사점을 제시하고자 한다. 본 연구에서 조사한 사례는 미국 의회도서관, 미국 뉴욕 공공도서관, 영국 국립 도서관, 국내의 국립중앙도서관 디브러리, 포항공대 도서관인 포스텍 도서관 이고 주요하게 트위터의 수치적인 현황, 활용 목적, 내용, 이용하는 인터페이스 측면들을 조사 분석하였다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2012.04a
• /
• pp.1326-1329
• /
• 2012

트위터는 대표적인 소셜 네트워크 서비스이며 스마트 기기의 발달로 사용자 수뿐만 아니라 생성되는 트윗의 수도 지속적으로 늘고 있다. 또한 트위터는 인증과정을 통하여 API 요청을 제한해 데이터의 수집이 어렵기 때문에 트위터 기반 연구를 위해서는 빅 데이터를 처리하기 위한 분산처리 기술이 요구된다. 본 논문에서는 네트워크로 연결된 다수의 클라이언트를 이용해 계정과 트윗의 수집에 용이하고 수집한 데이터를 분석할 수 있는 기능까지 추가한 분산처리 시스템인 DiSAnT을 소개한다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2011.11a
• /
• pp.395-398
• /
• 2011

트위터 사용자들은 어떠한 이슈에 대해 트위터를 통해 빠르고 간결하게 다른 사람들과의 지속적인 커뮤니케이션을 원하고, 이러한 특징은 이슈 별 사건에 따라 트윗 개수에 영향을 미치게 된다. 만약 어느 하나의 사회적 이슈에 대해 어떠한 사건이 일어나게 되면 그때의 트윗 개수는 폭발적으로 증가하게 된다. 본 논문에서는 이러한 특징을 이용하여 트위터 자료를 시간별로 분석하여 사건을 인식하고, 감성 자질과 카이제곱 값을 이용해 해당 날짜에 대한 핵심 사건을 추출한다.

• Journal of Service Research and Studies
• /
• v.5 no.1
• /
• pp.79-89
• /
• 2015

Recently, with the introduction of social network services, studies that try to make use of them for the various purposes have been actively investigated. In order to proceed with the research that takes advantage of social network services, it is necessary to review the relevant literature and to identify trends in researches. However, the researches of social network are massive amount, so to review the huge amount of relevant research literature is a very difficult task. Therefore, in this study, we analyze systematically the tendency of research related to social network service focusing on Twitter. Especially, we use the SLR (Systematic Literature Review) technique for systematic literature survey and analysis. For the literature survey, we select korean literature resource sites and 243 studies of literature that are surveyed. Studies and analyzes on Twitter in a variety of research studies were also using Twitter data that way beyond the simple question directly.