• The Journal of Korean Association of Computer Education
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• v.16 no.2
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• pp.61-68
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• 2013

SNS is a social networking service that helps people to have a two-way communication, manage their personal relationships and share information. The domestic and international SNS markets have attained a steady growth, and their growth is being more accelerated recently. Under these circumstances, immature students are more likely to show negative cyber behavior. This study attempted to analyze the relationship between the use of SNS, motives of SNS use, the use of active SNS functions, SNS-dependency and views in SNS and negative SNS behaviors among elementary and middle school students. For this, negative cycber behaviors are classified into four stages depending on the severity, for each of which distribution of factors is investigated and the combination of factors to determine each stage is obtained through association rule analysis. As a result, it is found that 85% of the students rarely show negative cyber behaviors, stealing personal information and contacting with strangers are the most frequent negative behaviors, and students with a great dependency on SNS are highly probable to show negative behaviors.

• International journal of advanced smart convergence
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• v.10 no.3
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• pp.131-142
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• 2021

Recently, there has been an active service that provides customized news to news subscribers. In this study, we intend to design a customized news service system through Deep Learning-based Social Network Service (SNS) activity analysis, applying real news and avoiding fake news. In other words, the core of this study is the study of delivery methods and delivery devices to provide customized news services based on analysis of users, SNS activities. First of all, this research method consists of a total of five steps. In the first stage, social network service site access records are received from user terminals, and in the second stage, SNS sites are searched based on SNS site access records received to obtain user profile information and user SNS activity information. In step 3, the user's propensity is analyzed based on user profile information and SNS activity information, and in step 4, user-tailored news is selected through news search based on user propensity analysis results. Finally, in step 5, custom news is sent to the user terminal. This study will be of great help to news service providers to increase the number of news subscribers.

• Journal of Fashion Business
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• v.26 no.5
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• pp.22-35
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• 2022

This study examines the image pursuit behavior according to body surveillance, body shame of image-based SNS-used women. Questionnaires were administered to 215 SNS-used women aging between 20 to 30 years old. The SPSS 25.0 package was utilized for data analysis, which included frequency analysis, factor analysis, Cronbach's α, correlation analysis and regression analysis. The study analyzed the relationship between body surveillance, body shame single factor, and subfactors of image pursuit behavior(conformity, instrumentality, fashion pursuit, attractiveness pursuit, ostentation pursuit, interpersonal). It was observed that body surveillance and body shame had a positive influence on all the factors of image pursuit behavior. Body surveillance demonstrated a high influence on attractiveness pursuit while body shame demonstrated a high influence on ostentation pursuit. Body surveillance had a positive influence on body shame. These results provide useful information for understanding the influence of social media on the psychological attitude and consciousness of women with regard to their body and image pursuit behavior. In addition, results from this study will help to systematize women's theoretical physical consciousness, establish product strategies for physical appearance-related industries, and set marketing directions.

• Journal of the Korean Society for Marine Environment & Energy
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• v.20 no.2
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• pp.117-125
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• 2017

SNS Big-data Analysis means to find potential value from big data which has produced by the social media. In this paper, SNS Big-data has been analysed to find Korean concerns by using 24 key words from the marine and fisheries sector. Among 24 key words, seafood, shipping and Dokdo Island are the most mentioned ones. Some key words such as ocean policies and marine security that have less concerns have bess mentioned less. Also, key words that are led by government are mostly mentioned by news media, but key words that are led by private sector and have intimate relationship with people's lives are mostly mentioned by Blogs and Twitters. Therefore, reflecting close national concerns by SNS Big-data Analysis and especially resolving negative factors are the most significant part of the policy establishment. Also, differentiated promotion methods need to be prepared because the frequency of key words mentioned from each type of media are different.

• Information Systems Review
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• v.22 no.4
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• pp.163-184
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• 2020

The information on SNS, which is created by the forms of postings and comments, is being magnified and redistributed to news media expanding its impacts on real words. This amplifying effects of SNS comments have been increasingly discussed but there still lacks the answers for which dimensions of information is magnified, and what affects the direction and the degree of the amplification. This study, therefore, explores the detailed dimensions that are magnified by SNS comments and how SNS posting structure and social network characteristics affect them by using sentiment analysis. By analyzing 2,378 Facebook postings and news articles and their 26,312 SNS and 74,730 news site comments, this study shows that SNS comments magnify the sentiments of the posting articles they are attached to. In comparison to news site comments, SNS comments magnify the cognitive and social dimensions more than the news site comments. In the affective dimension, they tend to magnify only the positive emotion more than news site comments. Also, the findings reveal that whether the article in the posting is written by the posting owner affects the degree of amplification when the comments are remained positive or switched positive, while the opposite determines the amplification when comments remain negatively, suggesting that the user relationship in social network is the important factor that affects the direction and the degree of the information amplification in SNS.

• Journal of the Korean Society of Costume
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• v.63 no.5
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• pp.61-71
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• 2013

As an emerging e-retail model, private shopping malls are transforming the traditional retail systems. These malls are expanding in Europe and the United States and have recently arrived in Korea. This study investigates the relationships among the usefulness of SNS(Social Networking Sites), shopping values, and purchase intentions for fashion products in private shopping malls. The analysis was based on a survey of consumers, aged between 20 and 39, who recently purchased fashion products from a private shopping mall. Two hundred samples were used in the final analysis. The study employed descriptive statistics, Cronbach's alpha, confirmatory factor analysis, and structural equation modeling. The relationships among usefulness of SNS, shopping values, and purchase intentions was verified through structural equation modeling. More specifically, the usefulness of SNS significantly influenced the utilitarian shopping values as well as purchase intention of fashion products. Utilitarian shopping values, in turn, significantly influenced hedonic shopping values and purchase intention. Further, hedonic shopping values had a significant effect on purchase intention.

• Journal of Information Technology Applications and Management
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• v.19 no.4
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• pp.75-95
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• 2012

This study focuses on examining the determinants of smartphone-based social network services(SNS) use. That is, the study explores the key factors affecting the use of smartphone-based SNS. People who have been using online-based SNS such as Cyworld and Facebook for years are now using mobile-based SNS such as KakaoStory. Under the situation. the study attempts to draw key determinants of smartphone-based SNS use from the studies of TAM, hedonic information systems, and social perspectives. To test the hypotheses, we conducted partial least squares (PLS) analysis using a total of 233 data collected on the users of smartphone-based SNS including KakaoTalk and KakaoStory. The key findings are as follows : first, it is verified that both ease of use and usefulness, two main factors in TAM, had positive effects on smartphone-based SNS use. Second, for enjoyment and escapism considered as the two main factors of hedonic IS characteristics, only the effect of enjoyment on SNS use was significant. Finally, social ties as a factor of social characteristics had the most significant effect on smartphone-based SNS use. The result implies that smartphone-based SNS can be one of the major means of maintaining existing social ties.

• Journal of the Korea Society of Computer and Information
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• v.20 no.7
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• pp.77-84
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• 2015

The study is to investigate which features are perceived by Social Network Service(SNS) users as the most required one to further boost the usage of service, and to examine the perception of these features of SNS sites varies according to their demographic and service usage characteristics. The study also is to suggest a few of research propositions on the relationships between required features of SNS sites and characteristics of SNS users, based on statistical analyses. To accomplish these research purposes, the study defined characteristics of SNS users including demographic(gender, age) and service usage one(start time of service usage, service usage place), and required features of SNS sites(system, service, information, emotion) based on the literature review of SNS. The results show, based on the statistical analyses using survey questionnaire on Korean and Chinese SNS users, that there are differences in perception of required features of SNS sites among the respondents grouped by age, start time of service usage, service usage place. Finally, the study proposed three research propositions, based on the analysis result, that could be used in SNS related researches in the future.

• Journal of Korean Library and Information Science Society
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• v.51 no.1
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• pp.21-41
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• 2020

This paper aims to propose ways to promote SNS marketing at school library sites with case study analyses in school libraries. To this end, in-depth interview was conducted with 10 Teacher Librarians who had used SNS in library operation and an in analysis was made of the operation status, motives and objectives, strategies and performances of the school library's SNS marketing. According to the study, most Teacher Librarians were found to be using SNS such as Facebook, Instagram, Kakao Plus Friends and so on in an attempt to improve accessibility and utilization of the library resources first. Not only that, they used SNS for the purpose of communicating with users while increasing the number of visitors and identifying the needs of users. The messages provided through SNS are information on school libraries and their reading programs, and the target market mainly involved their students. Based on the above research results, measures to promote SNS in school libraries were discussed, including the need for marketing consultative bodies, expansion of SNS targets, and enhancement of expertise in SNS.

• Journal of Information Technology Services
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• v.11 no.3
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• pp.227-240
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• 2012

Given the prevalence of internet and web 2.0, SNS(Social Network Service) market is growing rapidly. IT providers which focused marketing point on network hub have become to disseminate SNS mainly now. Many users are using the various functions of SNS to communicate each other or share the information. At this point, identifying the influencing factors to WOM(Word-Of-Mouth) of SNS is very important. In this paper, we aim to examine the effects of perceived variables on the WOM of SNS. In order to analyze the antecedents, we selected perceived factors such as perceived usefulness, perceived easiness, perceived enjoyment and perceived crowd. For statistical analysis, we surveyed real users of SNS. As a result, all antecedents of WOM showed significant influence and among the variables the perceived enjoyment has top standardized coefficient. In addition, perceived crowd has significant on perceived easiness, perceived enjoyment but not on perceived usefulness. The result of this research can be useful guidelines to increase SNS Market.