• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2011.11a
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• pp.52-53
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• 2011

• Journal of Contemporary Eastern Asia
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• v.12 no.1
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• pp.65-79
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• 2013

This paper examines communication patterns of key Twitter users by considering the socially and politically controversial Sejong City issue in South Korea. The network and message data were drawn from twtkr.com. Social network-based indicators and visualization methods were used to analyze political discourse among key Twitter users over time and illustrate various types of Tweets by these users and the interconnection between these key users. In addition, the study examines general Twitter users' participation in the discussion on the issue. The results indicate that some Twitter profiles of media outlets tend to be very dominant in terms of their message output, whereas their Tweets are not likely to be circulated by other users. Noteworthy is that Twitter profiles of individuals who are geographically affiliated with the issue are likely to play an important role in the flow of communication.

• Asia pacific journal of information systems
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• v.25 no.2
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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.

• Information Systems Review
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• v.14 no.1
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• pp.21-35
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• 2012

The rapid growth and popularity of Twitter have been one of the most influential phenomena in the era of social network system and the mobile internet, which also opens up opportunities for new business strategies; in particular, PR and marketing area. This study analyzed use of Twitter in terms of user characteristics and message attributes. Actual field data from the Twitter for PR and Marketing of a representative Korean IT company (Company "K") was used for this analysis. Research findings show that overall corporate twitter users show passive attitude in retweet behavior. Also, users who have relatively small network size (less than 1,000) are more active in retweet than power twitterians that have big network size(over than 10,000). It is showed that the rate of retweet is higher in the order of recruiting, promotional event, IT information, and general PR message. In the conclusion section, practical implications based on the research finding are thoroughly discussed.

• The Journal of the Korea Contents Association
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• v.19 no.4
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• pp.174-186
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• 2019

Twitter is very popluar with users who desire social interaction as it is a highly effective method of communicating compared to traditional communication platforms; and thus has garnered considerable interest from the academic community. This research reveals how election results can be predicted by the factors of total volume of messages, positive messages and negative messages tweeted about a candidate. Social matrix analysis revealed that the quantity of twitter messages was a strong predictor of election results in the 18th presidential election in Korea. In addition, more positive messages than negative messages about a candidate from twitter users recorded better results in the election. This research found that the total quantity of messages, positive messages, and negative messages as key factors for predicting election result. Future studies should investigate other SNS platforms to discover what is the most effective communication strategy on each platform.

• Journal of Digital Convergence
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• v.11 no.6
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• pp.129-135
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• 2013

With the increasing use of the SNS, WOM(Word of Mouth) has become an even more powerful and useful resource for consumers and marketers. In this paper, we investigated the effects of message polarity (positive, neutral, negative) and type (factual, evaluative) on WOM through SNS (twitter). A total of 13.4 million twitter messages were collected and 1.0 million retweeted messages were analyzed. The results showed that message orientation, type, URL and hashtag have a significant (<0.01) effect on retweet counts and the interaction between message orientation and other factors were observed. It also observed that message type, URL and hashtag have significant (0.05) relationships with retweet speed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.905-907
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• 2014

Twitter is the special place that people in the world can freely share their information and opinion. There are tries to utilize a vast amount of information made from twitter. The study on classification of tweets by subject is actively conducted. Twitter is a service for sharing information with short 140-characters text message. The short message including brief content makes extracting a variety of information hard. In the paper, we suggests the method to classify tweet by subject. The method uses both tweet and subject features. In order to conduct experiments to verify the proposed method, we collected 10,000 tweet messages with the Twitter API. Through the experimental results, we will show that the performance of our proposed method is better than those of previous methods.

• The Journal of Information Systems
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• v.23 no.4
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• pp.1-24
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• 2014

This study is intended to examine two issues related with social media messages. At first, the authors investigate that how they can categorize messages in the social media and how corporate twitters and brand twitters communicate with consumers. Secondly, after dividing messages in the social media into several groups, the authors investigate how each type of messages differ one another in terms of the consumer response. For examining these research issues, the authors gather twitter message data of global top 100 brands and categorize messages into 5 types (i.e., interactivity, diversion, information sharing, promotional, content) based on the motivation of communication and the format of the messages. Especially, the authors use content analysis methodology, which is normally used as the qualitative approach, in order to identify the type of messages. Furthermore, the authors present interactivity type of messages can communicate better with consumers and induce more favorable responses from consumers in the social media than any other type of messages. This research can provide implications in terms of theoretical, methodological, and managerial perspective.

• Journal of Internet Computing and Services
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• v.15 no.4
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• pp.43-55
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• 2014

This study investigated how social issues are interpreted and presented in Twitter in comparison to newspapers, considering Twitter functions as the media for information transmission and public opinion formation. this study used one of Twitter's media agenda, MBC strike, and analyzed how Twitter and newspaper deal with the issue of the MBC strike differently. The content analysis was performed to examine the differences. The categories for the content analysis include; message format, information sources, perspectives to be expressed, the frame of human interests, and the frame of cause-assigning. The results found out significant differences between Twitter and newspapers, which are related to essential differences between Twitter and newspaper as communication media.

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