• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.10
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• pp.499-508
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• 2016

According to spreading K-pop globally, the market size related to K-pop stars is increasingly growing at home and abroad. Recently, services and products having direct interaction with the star are emerging. This research aims to propose a new service using a smart, connected social robotic figure that can support interaction between fans and K-pop stars. For this study, we begin by exploring literature about K-pop culture. Also, we investigate cases that connect between fans and stars and then build the development directions for a new service. Based on these development directions, we extract feasible technology and its interaction elements through analysing the cases of social robots. Finally, we propose the social robotic figure service in this research. This service proposed in this study can create and enhance diverse bidirectional communication between fans and stars through employing a user-customized, smart, connected figure based on a IoT platform. This research contributes to approaches for sustainable advance of K-pop through applying IoT technology.

• The Journal of the Korea Contents Association
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• v.17 no.10
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• pp.85-93
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• 2017

Standardization of disaster safety lexicon is important as the most basic process for successful accident prevention and response. A lack of understanding of disaster safety lexicon leads lack of communication and information sharing, which can be a problem in communicating with appropriate responses in case of a disaster. Currently disaster and safety control agencies produce and manage heterogeneous information and they also develop and use word dictionaries individually. To solve this problem, identifying differences of disaster safety lexicon patterns by the user are essential for standardization. In this paper, we conducted lexicon patterns analysis based on social media and revealed the characteristics according to pattern types. At the result, we proposed the standardization and construction methods of disaster safety word dictionary.

• Informatization Policy
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• v.20 no.2
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• pp.73-90
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• 2013

Rational debate and public conversation in the public sphere of social network are crucial conditions for realizing deliberative democracy. However, negative communication can occur online more frequently than in the real space, and mutually hostile messages are appearing. In the electoral process, citizens combining for particular candidates have made personal attacks against, abused and slandered the opposing candidates. Then, how and to what degree has the flaming behavior been appearing in the elections? Are there influencers to propagate the flaming behavior? And how flaming are these influencers, compared to internet users? This research focuses on the flaming behavior which occurred during the reelection for Seoul Mayor, in order to diagnose the role of social network as an online public sphere. This study analyzes the spreading degree of flaming messages depending on each issue, and the differences of messages between influencers and normal users. There was frequent flaming behaviors to distribute biased information which criticized, laughed at and maliciously attacked individual candidates. Moreover, influencers who advanced leading opinions, displayed a higher flaming degree than normal users.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.146-147
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• 2017

Big data analysis is a technique for effectively analyzing unstructured data such as the Internet, social network services, web documents generated in the mobile environment, e-mail, and social data, as well as well formed structured data in a database. The most big data analysis techniques are data mining, machine learning, natural language processing, and pattern recognition, which were used in existing statistics and computer science. Global research institutes have identified analysis of big data as the most noteworthy new technology since 2011. Therefore, companies in most industries are making efforts to create new value through the application of big data. In this study, we analyzed using the Social Matrics which a big data analysis tool of Daum communications. We analyzed public perceptions of "Internet of things" keyword, one month as of october 8, 2017. The results of the big data analysis are as follows. First, the 1st related search keyword of the keyword of the "Internet of things" has been found to be technology (995). This study suggests theoretical implications based on the results.

• The Journal of the Korea Contents Association
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• v.17 no.5
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• pp.410-422
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• 2017

This study researches PDA (Paralingustic Digital Affordances) in the social media on the basis of Uses and Gratification theory. The study defines PDA as Likes in Facebook and Instagram and Favorites in Twitter. The study inquiries into the motivation of using PDA and interpretational way when Social media users play a role of a sender or a receiver. For this research purpose, the focus group and interview were conducted with 36 college student in the Korea metropolitan area. The research is to comprehend the motivation and satisfaction of using PDA by applying structured theory frame of Uses and Gratification. As a result, it contributes to more satisfactions when PDA users interact each other as a sender and a receiver than mere verbal-communication. Furthermore, PDA in each social media has different meaning and gravity. For instance, Likes in Instagram is considered less important and lighter than Likes in Facebook. Moreover, people use the PDA without any restriction. People favorably use PDA most of the time, but sometimes they use in contradictory or sarcastic way.

• Trans-
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• v.9
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• pp.67-92
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• 2020

The development of social platforms and digital technology has promoted the age of the communication in our society. As online communication has become commonplace, expressing feelings, thoughts and experiences on the Internet has become an everyday routine. Among them, SNS is one of the representative platforms for expressing oneself easily and interacting with other users. The way of communicating with the SNS about what they did and what experiences they experienced from one's everyday lives became more common. As a result, the museum makes various efforts to enhance visitors' attention and interest with the use of SNS. It provides a content-based programs and museum environment that allow visitors to enjoy playing and learning at the same time. This study will explore not only a simple appreciation, but also the way of communicating to everyday life in terms of the changes for museum environment through the development, implementation and adaptations of digital technology. Through this, mobile-based communication with SNS provides various values and quality of museum visit, can be completed with meaningful museum experience, and various roles and functions of the museum are examined in terms of social platform of experience.

• Health Communication
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• v.12 no.1
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• pp.51-72
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• 2017

Purpose: Adolescents use emoticons to express their emotions in an online environment. Hence, medical experts can understand the emotions of adolescents by emoticons. The goal of this study was to investigate the relationship between various emotions and emoticons among the Korean adolescents. Methods: The questionnaire survey was conducted between September 1 and 30, 2014, involving 3,272 students in elementary schools, middle schools, and high schools affiliated in the Department of Education of the metropolitan city of Busan. A total of 1,717 students responded to the survey. The participants consisted of 806 males (46.9%), and 911 females (53.1%). Among these, there were 557 elementary school students (32.4%), 617 middle school students (35.9%), and 543 high school students (31.6%). A social networking analysis was conducted using NodeXL. Results: The frequency of emoticon use among adolescents runs in the order of joy, sadness, fear, surprise, anger, disgust, and then depression. Elementary school females mainly use emoticons to express joy; middle school females use emoticons to express sadness, surprise, anger, disgust, and depression; and high school females use emoticons to express fear. Age- and gender-specific emoticon networks were visualized by using the Haren-Korel fast multiscale algorithm. Commonly used emoticons by age and gender were expressed in the networks. Results of age- and gender-specific emoticon networks visualization show similar results of centrality of seven emoticons. Conclusion: In the digital communication environment, emoticons could be used to catch the emotions of adolescents in Korea.

• Journal of Public Diplomacy
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• v.3 no.1
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• pp.1-19
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• 2023

Objectives: This study aims to discover how the spread of K-POP and the diversification of the Korean Wave affects Korea's national reputation. K-POP stars are diversifying their interactions with fandom by creating an online space to consume various products and services related to their stars and engage in fan activities. Because of this, this study aims to examine the relevance of K-POP to national reputation through a parasocial relationship with K-POP stars by fandom forming a community and utilizing media. Methods: An online survey was conducted in English using the Amazon survey company Mechanical Turk for BTS fans living in the United States. A total of 195 people's data, excluding incomplete responses, were used for the analysis. Results: It was found that BTS fans' social media participation activities themselves did not directly affect Korea's national reputation. But the mediating effect of BTS fans' parasocial relationship was found. That is, BTS fans' social media participation activities had a positive effect on their parasocial relationships with BTS which in turn had a positive effect on their national reputation. Conlusions: The use and participation of BTS fans in social media in Korea's national reputation has no significant effect on itself, but it has been found that it affects the national reputation through forming parasocial relationships. From the study results, the parasocial relationship of K-POP fans can be used as a strategic mechanism to enhance the national image and Korea's national reputation.

• Journal of Internet Computing and Services
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• v.12 no.6
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• pp.171-187
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• 2011

Due to the vitalization of the smart phones, mobile revolution has been started. The mobile revolution has elevated SNS service, which was once considered as just one of many communication tools, to the single most important communication method as well as diffusion of social commerce. Yet, there has not been an adequate study of the roles of SNS in the domestic social commerce market, which has gotten a lot of spotlights. Therefore, the purpose of this study is to investigate the influence of various characteristics of social commerce that it has an impact on the purchase intension as well as the moderating effects of SNS. For these purposes, this study has drawn up the characteristics of social commerce in cost cutting, impulse buy, social influence, decision support, word of mouth effect and etc. to prove the interaction effect of SNS. The regression analysis showed that the characteristics of all the social commerce are related to the dependent variable. As a result of drawing up the interaction effect of SNS, it has shown that the cost cutting and word of mouth have significant influence in the social commerce diffusion as the usage of SNS increased. In conclusion, the main implication of this study is to provide the basic grounds for social commerce business strategy as it investigated the characteristics of SNS and its relation.

• Science of Emotion and Sensibility
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• v.19 no.2
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• pp.3-18
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• 2016

This research, through video-based communication in a social video platform environment, studied the influence of the relationship between a video-watching subject and other watchers to that of the user's positive emotion and sense of community. Based on prior psychological theories called Social Impact Theory and Self-Monitoring Theory, the research built an actual video-based social video platform environment in order to verify an alternative utilizing new means of interaction based on videos. The result shows that under video-watching settings, user feels greater positive emotion and sense of community when the screen shows other people's reaction live and when him or her self's face is shown together, compared to when they are not shown. Also, based on the ANOVA analysis, the percentage of increase in positive emotion was greater when the two conditions mentioned above were provided synchronously compared to when they were not. The result of the research is expected to yield insights about a new form of social video platform.