• The Journal of the Korea Contents Association
• /
• v.13 no.11
• /
• pp.138-147
• /
• 2013

This study aims to explore how journalistic norms are practiced in journalists tweets by analyzing journalists' twitter. The study found that journalists consider using twitter as an extension of journalistic practice rather than a private space. In other words, journalists use twitter without a clear distinction about the nature of the twitter. In terms of journalistic norms, journalists expressed actively their opinion rather than keeping the traditional notion of objectivity. There are not much tendency of sharing the gatekeeping role. Also, journalistic use of twitter does not increase transparency as much as expected. However, there is a positive sign of practicing the newly expected journalistic role, conversation with news users. Finally the relationships between journalistic use of twitter and journalistic norms are not straightforward but diverse depending on the size and type of press, and gender of journalists.

• Journal of Digital Convergence
• /
• v.9 no.3
• /
• pp.95-104
• /
• 2011

This study explored how political figures build their image using twitters. To examine the research question, this study analyzed twitter messages in five political figures: Si-Min, Yu, Jung-hee, Lee, Mun-soo, Kim, and Young-gil, Song. The findings showed that except for Mrs. Lee, the other political figures presented more one-way messages than two-way messages in twitters. Even though twitter has benefits of communicating instantly and two-way communication between followers and followings, most messages in their twitters were limited to informative message. The study also classified the messages into social-oriented and individual-oriented in each politician' s twitter. The result presented that Mrs. Lee twitter included individual-oriented messages, but the other three political figures had more social-oriented messages.

• Journal of the HCI Society of Korea
• /
• v.5 no.1
• /
• pp.37-43
• /
• 2010

Twitter has been continuously growing since October, 2006. Especially, not only the users and the number of messages have been increasing but also a new concept in social networking called 'micro blogging' has diffused. Within Korea, service such as 'me2day' has already been introduced and the improvement of internet accessibility within mobile devices is expected to expand the 'micro blogs'. In this point, this research is executed to study the new medium, 'micro blog'. To do so, we collected and analyzed Twitter logs of Korean users. Especially, we were curious about the extreme heavy users using Twitter, despite of the linguistic and cultural barrier of the foreign service. Who they are, why and how they use the 'micro blog'. First, we reviewed the general aspect of followers and messages by collecting a certain number of random samples. Using the Lorenz curve we found out that there was the imbalance within the users and based on this phenomenon we deducted an extreme heavy user group. In order to perform further analysis, log analysis was performed on the extreme heavy users. As the result, the users used multiple mobile and desktop 'Twitter' clients. The usage pattern was similar to that of internet usage time but was used during their "micro" time. The users using 'Twitter' not only to spread messages about important information, special events and emotions, but also as a habitual 'chatting tool' to express ordinary personal chats similar to SMS and IM services. In this research, it is proved that 68% of the total messages were ordinary personal chats. Also, with 24% of the total messages were retweets, we were able to find out that virtually connected 'people' and 'relationships' acted as the dominant trigger of their articulation.

• Journal of the Korean Society for information Management
• /
• v.30 no.1
• /
• pp.285-302
• /
• 2013

This study identified topic shifts and patterns over time by analyzing an enormous amount of Twitter data whose characteristics are high accessibility and briefness. First, we extracted keywords for a certain product and used them for representing the topic network allows for intuitive understanding of keywords associated with topics by nodes and edges by co-word analysis. We conducted temporal analysis of term co-occurrence as well as topic modeling to examine the results of network analysis. In addition, the results of comparing topic shifts on Twitter with the corresponding retrieval results from newspapers confirm that Twitter makes immediate responses to news media and spreads the negative issues out quickly. Our findings may suggest that companies utilize the proposed technique to identify public's negative opinions as quickly as possible and to apply for the timely decision making and effective responses to their customers.

• The Journal of the Korea Contents Association
• /
• v.18 no.7
• /
• pp.665-678
• /
• 2018

The purpose of this study is to analyze the social perception of stepmother in social media and news. For this purpose, we analyzed the texts that were searched as 'stepmother' in Twitter and news articles. The main research results are as follows. The public perception is divided into two types: strengthening the negative image of the stepmother, and providing a positive alternative message to the negative image. Negative images were reported in the media as negative stereotypes about remarried families, as well as images of negative stepmother that afflicts stepchildren like fairy tales. Positive alternative messages were concerned about the negative perception of remarried families. Based on the results of this study, we discussed alternatives to avoid prejudice against stepmother.

• Proceedings of the Korean Society for Information Management Conference
• /
• 2013.08a
• /
• pp.171-174
• /
• 2013

본 연구는 국내외 도서관의 소셜네트워크 서비스 현황을 살펴보고, 노드엑셀을 이용한 네트워크 분석 기법을 통해, 도서관 소셜미디어 활용도에 대해 조사하였다. 국내에서 소셜미디어 홍보를 제일 적극적으로 하고 있는 P대학의 트위터를 노드엑셀을 통해 매개중심성으로 분석해 본 결과 상위 파워트위터리안들을 알 수 있었으며, 추후 도서관 마켓팅에서 핵심이용자로 적극 관리할 필요성이 있음을 보여주고 있다. 홈페이지 이용도는 국내 의과대학 중 의학도서관 홈페이지상에 데이터베이스로 직접 URL 연동되어 있는 K대학 홈페이지를 보손(Voson)과 노드엑셀 네트워크 분석방법을 이용하여 분석해 본 결과, 상업출판사외에 NDSL이 가장 상위로 랭크되어 홈페이지의 활용도가 높음을 알 수 있었다.

• Journal of Information Management
• /
• v.43 no.2
• /
• pp.133-150
• /
• 2012

This study showed the activation of public library services utilizing twitter. Top five American public library twitter's 1,373 tweets collected, analyzed by content types and examined applicability into public library services. Based on the results, it suggested that public library services can be activated by auto-tweeting informations within home page, re-tweeting of timely informations, generating HASH tag, using diverse social medias, active re-tweeting/replying, and utilizing twitter programs such as twit-bot. Finally, the study proposed that evaluations about twitter services such as satisfaction survey should be carried out.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2013.11a
• /
• pp.1452-1454
• /
• 2013

최근 스마트 기기와 SNS가 대중화가 되면서, 이를 기반으로 사용자의 감정 분석을 통한 추천 연구가 활발하게 진행되어 지고 있다. 본 논문에서는 감정표현단어 500여개와 이모티콘을 활용하여 감정 범주를 9가지로 분류하고, 트위터광장의 여러 유명인사 트위터 타임라인의 텍스트를 가져온 후, 감정상태 분석으로 감정 범주를 카운트 한다. 이를 통해, 한사람의 감정상태의 수치를 나타내고, 추후 음악, 음식, 문화 활동 등을 다양하게 추천할 수 있는 감정상태분석모듈을 설계 및 구현한다.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.14 no.3
• /
• pp.185-190
• /
• 2014

With the fast increment of smart phone users and extension of wireless internet the number of SNS user is also increasing. Twitter among lots of SNS takes the lead in SNS market. Twiter users express their thinking and feelings. In this paper, by analyzing twitts near the distribution enterprise using opinion mining. And by analyzing concern degree using the number of twitts and positive, neutral, negative degree we deliver marketing message to marketer. As the result, we propose that marketing and management of this distribution enterprise can reflect the demand of customer who is near there.

• The Journal of the Korea Contents Association
• /
• v.13 no.8
• /
• pp.160-170
• /
• 2013

The present study analyzes a Twitter network of some 175 government organizations belonging to seven countries. They are South Korea, U.S., U.K., Australia, Canada, Singapore, and Japan. The results showed that the U.S. occupied the most central position in terms of the incoming followings. Next, some clusters among countries were also noticeable according to their cultural proximities including national languages. The findings also indicate that some governmental organizations are likely to make international ties with others whose main duties are similar to each other. Finally, the structural connectivity pattern of some inter-governmental Twitter networks was visualized using a social network software. On the other hand, it suggests that there is a potential for a soft power through social media and as a result, it could be assumed that a new knowledge hegemony appears in the future.