• Journal of Convergence Society for SMB
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• v.5 no.2
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• pp.27-32
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• 2015

Recently, service-related products have gained more attention than general products on the existing social commerce sites. Based on the situation, the effect that the service quality of social commerce has on customer satisfaction was analyzed in this study. It is a study that analyzes how much the service quality affects the customer satisfaction after the purchase, targeting consumers who have made purchases of social commerce products. In the case of social commerce, it is well-known that the diversity and convenience of products have a significant effect on customer satisfaction. Social commerce is currently being dumped beyond the 900 sites and dozens of cases of news, real-time searches of popular portal sites appeared not to be bored enough to related sites to drive the popularity coming quickly dug into our everyday lives of human beings. Yet the perception of social commerce seems not properly established because of the new concept was suddenly going to go through penetration without a collective interpretation and acceptance process. Most of the companies that often mimic the syoseol commerce is large, the blame did not depart from the forms of social shopping. We believe that personal and exhibit their skills and talents, and to wonder to see the social rather than the individuals who make unilateral companies.

• The Journal of the Korea Contents Association
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• v.22 no.2
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• pp.88-106
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• 2022

This study examined the social discourse on consumer boycott and explored consumer experience using text mining of mass media and social media data and the in-depth interview. The result showed that the topics of online news related to the boycott included the causes of the boycott, the responses of each actor in the process of the boycott, and the effects of the boycott. In the result of the in-depth interviews, it was found that the boycott has been decentralized and the participants had the experience of exploring and verifying information on their own. In the boycott process, there were mixed experiences due to the absence of substitutes and the marketing influence, and positive experiences of expressing one's thoughts and strengthening beliefs through the boycott.

• Korean Journal of Culture and Social Issue
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• v.28 no.4
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• pp.717-748
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• 2022

This study was conducted to develop and validate the social media anxiety and anger scale(SAACS), which measures emotions, especially anxiety and anger that can be contagioned to individuals, through posts and comments on social conflicts in social media. A literature search was conducted on social conflicts in social media, 12 factors(anxiety and anger about gender, crime, generation, wealth gap, politics, region) were selected. Then questions were developed after looking into previous literature and reviewing community posts and comments, and 105 preliminary questions were selected. Following the results of exploratory and confirmatory factor analysis for people aged 20 to 39 age group, SAACS was revised to 12 factors(anxiety and anger about gender, crime, generation, wealth gap, politics, and region) and 48 questions. When verifying the validity, the SAACS had a significant level of correlation with the SNS addiction tendency scale, Rosenberg self-esteem scale, Korean aggression questionnaire(K-AQ), and the state-trait anxiety inventory(STAI-X). SAACS showed no significant correlation with Korean emotional contagion scale(K-ECS). Finally, based on the results, the implications of this study and suggestions for future studies were discussed.

• Broadcasting and Media Magazine
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• v.19 no.4
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• pp.50-59
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• 2014

사용자들이 미디어를 접하는 디바이스 환경이 다양화되고 그 속에서 접할 수 있는 콘텐츠의 양은 많아졌다. 특히 급속도로 발전한 모바일 환경에서 사용자들은 개인화된 기기를 사용하여 콘텐츠를 소비하고 주변 사용자들과 경험을 공유한다. 콘텐츠 제공 서비스에서는 이러한 개인의 콘텐츠 소비 이력 및 SNS 관계에서 발생한 데이터를 분석하여 활용함으로써 콘텐츠 소비를 활성화하고자 한다. KBS에서도 이러한 동향에 맞추어 방송콘텐츠 추천검색 연구와 실시간 TV캡처 및 소셜 공유 연구를 진행하였으며, 그 과정에서 많은 양의 데이터를 효율적으로 처리하기 위한 방법의 필요성을 절감하게 되었다. 데이터 분석이 필요한 두 과제에서 진행한 내용을 기술하고 대용량 데이터 처리기법을 활용하여 상용화 서비스를 구축할 계획을 소개한다.

• Journal of Digital Convergence
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• v.14 no.4
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• pp.111-128
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• 2016

The purpose of this study was to analyze domestic research trends of social learning in higher education, and find out educational implications with regard to the effectiveness of social learning. The 63 articles on social learning were finally analyzed, which were published in KCI journals. The results are as follows: Firstly, in respect of research contents, the research area of utilization and the survey methods were most frequently used in those studies. Secondly, as to the use of SNS, the analyzed studies were centralized on Facebook and Formal Structured Learning. Thirdly, as for the effectiveness of SNS, the experimental studies showed that social learning has an effective impact on the learning outcomes, learning processes, and learners' characteristics. In addition, survey studies most frequently set the independent variables as learners' characteristics and the dependent variables as participation, satisfaction, and academic achievement. This research has a significance in terms of verifying the educational implications of social learning, and providing the preliminary data to facilitate the performance for the effective social learning.

• The Journal of Society for e-Business Studies
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• v.17 no.4
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• pp.197-208
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• 2012

Recently, the development of smart devices such as smart phones and tablet PCs, with mobility, convenience and real-time computing, promotes proliferation and activation of social media. It also causes innovative changes in communication methods. Since 2010, researches in SNS (Social Networking Services) have focused on developing marketing strategies using SNS. On the other hand, the main purpose of this study is to provide a requirement analysis method of smart phone users by using content analysis of SNS. An information systems developed in this study in order to analyze content of SNS automatically because it is very difficult and time consuming to analyze it manually. In addition, this study compares the result of content analysis with that of Kano survey in order to examine consistency between the two results.

• The Journal of the Korea Contents Association
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• v.19 no.7
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• pp.1-12
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• 2019

According to a survey on the frequency of access to medical ads by the Korea Press Foundation in 2017, the most commonly exposed ads among adult men and women are advertising about beauty, plasticity and obesity. As of 2011, South Korea had the largest number of cosmetic surgeries in the world, with 131 cosmetic surgeries per 10,000 people. As a result, as many as 1,414 plastic surgery clinics are operating in South Korea, and the number is also on the rise. Although there are various standards for evaluating people's appearance, the desire to pursue a better look is growing day by day. Then, one might wonder what factors influence consumers' choices among the numerous advertisements for plastic surgery clinics. Based on these questions, this study identified the examples of plastic surgery advertisements, analyzed their type, and identified the types of advertisements with the high visual appeal of the advertising consumer through eye tracking experiment. In total, seven eye-tracking tests of plastic surgery social media advertisements were conducted on 10 subjects. The results showed that the commercial model was the biggest factor that caught the attraction and attention of the ad recipient first and that the most focused and long-standing factor was the treatment contents. Therefore, it is important to select proper commercial models for hospital and clinic contents and to specify factual treatment contents when producing social media advertisements for plastic surgeons. We hope these findings will help create online advertising for plastic surgery clinics effectively.

• Cartoon and Animation Studies
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• s.31
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• pp.177-208
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• 2013

This research analyzes the media which is simultaneously used with TV viewing, the behaviour of multiple media users, and the characteristics of TV programs under Nscreen circumstances. According to the results, TV provides stories and positions it as the main screen (84.5%, n=566), under the Nscreen circumstances. Personal media reproduces stories from TV by utilizing aspects of social media functions such as participation, open communication, community, connectivity, etc. The content is classified under three categories: 1) elicit emotion(point feeling), 2) information production, 3) participation, which is further divided into three subcategories; watch, wish, and result guarantee based on the level of interactivity. This inquiry is based upon diary survey and focus group interviews emphasized the role change of TV, specifically that TV takes a key role in generating original stories with the expansion of screen and social media. Even though users were able to watch the same TV programs at the same time and same place, the different methods of viewing: smartphone, tablet PC, web based mp3 and etc., it reproduced different stories and elicited different characteristics from its TV viewers.

• The Journal of the Korea Contents Association
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• v.14 no.10
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• pp.527-538
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• 2014

The demand prediction is a critical issue for the film industry. As the social media, such as Twitter and Facebook, gains momentum of late, considerable efforts are being dedicated to prediction and analysis of hit movies based on unstructured text data. For prediction of trends found in commercially successful films, the correlations between the amount of data and hit movies may be analyzed by estimating the data variation by period while opinion mining that assigns sentiment polarity score to data may be employed. However, it is not possible to understand why the audience chooses a certain movie or which attribute of a movie is preferred by using such a quantitative approach. This has limited the efforts to identify factors driving a movie's commercial success. In this regard, this study aims to investigate a movie's attributes that reflect the interests of the audience. This would be done by extracting topic keywords that represent the contents of Twits through frequency measurement based on the collected Twitter data while analyzing responses displayed by the audience. The objective is to propose factors driving a movie's commercial success.

• Journal of the Korean Society for Library and Information Science
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• v.53 no.4
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• pp.171-187
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• 2019

The study aims to analyze the posts of depression-related Facebook groups to understand major topics discussed by group users. Specifically, the purpose of the study is to identify the topics and keywords of the posts to understand what users discuss about depression. Depression is a mental disorder that is somewhat sensitive in the online community, which is characterized by accessibility, openness and anonymity. The researchers have implemented a natural language-based data analysis framework that includes components ranging from Facebook data collection to the automated extraction of topics. Using the framework, we collected and analyzed 885 posts created in the past one year from the largest Facebook depression group. To derive more complete and accurate topics, we combined both automated and manual (e.g., stop words removal, topic size determination) methods. Results indicate that users discuss a variety of topics including depression in general, human relations, mood and feeling, depression symptoms, suicide, medical references, family and etc.