• Journal of Internet Computing and Services
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• v.14 no.2
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• pp.35-43
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• 2013

As the number of podcast users consistently increases which is rising as a new media along with the generalization of SNS and smart devices, the necessity for advanced search service is on the rise. This study designed and implemented a system which recommends a podcast to the users who search podcast by using their social network information. Suggested social network-based podcast search system (PODSSO) collects necessary podcast information only, analyzes social network of the users and makes the users have reliable and interested podcast search results.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.05a
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• pp.702-704
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• 2013

최근 스마트폰과 같은 모바일 기기의 확산과 SNS 의 성장이 결합되면서 사이버상의 데이터량이 기하급수적으로 증가됨에 따라 빅데이터가 화두로 등장하였으며 빅데이터는 활용방법에 따라 국가 기업 및 개인의 삶의 질을 향상 시킬수 있다. 그러나 빅데이터는 다양한 경로로 데이터를 생성하고 수집함으로서 보안에 대한 이슈가 대두되고 있다. 본 논문에서는 데이터를 생성하고 수집하는 구간에서의 보안관리를 통하여 잠재되어 있는 악성코드의 공격과 개인정보에 대한 안전성을 높이고 신뢰성있는 데이터로 만들어 활용할수 있는 방법에 대해 연구한다.

• The Journal of the Korea Contents Association
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• v.17 no.11
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• pp.252-263
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• 2017

The study empirically explored factors influencing photo sharing behavior on Instagram based on the uses and gratification theory. An online survey was conducted 356 respondents those who have used Instagram and have shared photos within the last three months. Frequency analysis, descriptive statistics, confirmatory factor analysis, and structural model analysis were conducted using SPSS 19.0 and AMOS 21.0. The results of this study are as follows: first, communication has the greatest effect on photo-sharing behavior; second, entertainment has a positive effect on photo-sharing behavior; third, self-expression has a positive effect on photo-sharing behavior; fourth, service users' trust has a positive effect on photo-sharing behavior. This study adds to the current literature and contributes to understanding consumers' photo-sharing behavior.

• The Journal of the Korea Contents Association
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• v.19 no.2
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• pp.438-449
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• 2019

This study explored the perception of internet media credibility and influencing factors among college students who are routine users of internet-based media. Media literacy competences are of primary interest among others in that users' media literacy such as information evaluation, critical understanding of media, and information sharing are assumed to be related to media credibility. The results of analysis revealed critical understanding ability to be statistically significant and consistently influencing factor. Users with more critical view on media ownership, represented reality, commercial intention of media seemed less likely to trust internet media. Whereas media use motive for information was found to be a strong predicting factor, motive for pleasure showed no relationship with credibility. Based on the findings, suggestions for new research and limitations of the study were discussed.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.1
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• pp.59-74
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• 2014

The social network service is a online service letting users express the personality and enhancing the human network. However, these features result in side effects which diffuse personal information and make users access to treacherous information. Therefore, various access control models have been proposed. However, the access control mechanisms which encrypt data are only able to be applied for controlling access from direct node, and the access control mechanisms without data encryption allow service provider to access all the information. Moreover, both mechanisms do not consider dynamic changes in reliability of the users. In this paper, we propose relationship-based dynamic access control model including encryption of sensitive data, which consider the characteristics of SNS and improves the security of SNS.

• Journal of the Korea Society of Computer and Information
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• v.25 no.3
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• pp.199-206
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• 2020

The purpose of this study is to examine the relationship between intention to participation in sharing economy, digital cultural capital, and social connectedness and then analyze the variables affecting the intention to participate in sharing economy. This subjects were university students. Collected data were statistically processed by PASW 18.0 program using reliability, frequency analysis, T-test, one-way ANOVA, correlation and multiple regression analysis. The results were as follows. First, redistribution participation and cooperative lifestyle participation were relatively high. Second, intention to participate in sharing economy activities differs according to gender, age, monthly allowance, and SNS usage time. Third, intention to redistribution participation increases as the recognition of objectified digital culture capital, embodied digital culture capital, and social connectedness increases. And the intention to cooperative lifestyles participation and information sharing participation increased as digital culture capital increased. Forth, the most significant variable affecting the intention to participate in sharing economic activities was digital cultural capital.

• Journal of Internet Computing and Services
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• v.8 no.5
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• pp.1-10
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• 2007

Recently, the web 2.0 services which appear by exponential extension of the Internet can be expressed with the changes in the quality of structural evolution and in the quantity of increasing users. The structural base is in user participational architecture, the web 2.0 services such as Blog, UCC, SNS(Social Networking Service), Mash-up, Long tail, etc. play a important role in organization of web, and grouping and searching of user participational data in web 2.0 is broadly used by folksonomy. Folksonomy is a new form that categorizes by tags, not classic taxonomy skill. it is made by user participation. Searching based on tag is now done by a simple text or a tag cloud method. But searching to consider and express the relations among each tags is imperfect yet. Thus, this paper provides the relational searching based on tags using the relational graph of tags. It should improve the trust of the searching and provide the convenience of the searching.

• The Journal of the Korea Contents Association
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• v.18 no.2
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• pp.248-261
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• 2018

This study, the Fear of Missing Out Scale (FoMO Scale) developed by Przybylski et al. (2013) was adapted and validated to the Korean culture. 3-factors were constructed through EFA and item content analysis. In the CFA, 3 models were constructed to verify the fit of the model. Compared the goodness of fit, 3-factors model with 8 items proved to be the most appropriate. Sub-factors extracted through the characteristic context and rationale of Korean culture are 'belonging needs', 'extrinsic motivation', and 'relative deprivation'. K-FoMO scale and the reliability level of each sub-factor were good. Convergent validity was assessed by significant correlation the K-FoMO scores with life satisfaction, positive emotions, negative emotions, and SNS addiction proneness. Discriminant validity was assessed by low correlation with gratitude. At the end, limitation and suggestions for the future research were discussed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.11
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• pp.6547-6555
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• 2014

This study attempted to verify what motivates fans to follow college sports teams' social media and identify the motivational factors that can best predict fans' social media consumption. Confirmatory Factor Analysis (CFA) indicated that previously identified seven motives for online consumption, i.e., information, diversion, socialization, pass-time, fanship, team support, and technical knowledge, are compatible with the use of college sports teams' social media. In addition, a results of multiple regression found diversion, socialization, fanship, team support, and technical knowledge to significantly predict the level of social media consumption while information and pass-time did not significantly affect social media consumption. In particular, socialization had the greatest influence on social media consumption.

• The Journal of Information Systems
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• v.26 no.4
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• pp.107-135
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• 2017

Purpose Along with the growth of smart phones and social networking service (SNS), social commerce continues to expand. Although online reviews have become an important source of the information that consumers use to make purchasing decisions, theoretical development and empirical testing in this area are still limited. Thus, there is a need to develop further understanding about the influence of electronic word-of-mouth (eWOM). Drawing upon the heuristic - systematic model (HSM) which is one of the dual-process theories, this study develops a research model that explains key factors influencing consumers' eWOM credibility. Furthermore, this study verifies that consumer's eWOM credibility is a key determinant of eWOM and purchase intentions. Design/methodology/approach The proposed model is empirically tested with 493 users who have experience in WeChat-based social commerce. The structural equation model (SEM) analysis is used to evaluate the research model and hypotheses. Findings The major findings are as follows. First, argument quality of eWOM (a systematic factor) has a positive effect on eWOM credibility. Second, source credibility and recommendation consistency of eWOM (heuristic factors) are positively associated with eWOM credibility. Finally, purchase and eWOM intentions greatly depend on eWOM credibility. These results confirm the effectiveness of HSM in explaining eWOM mechanisms in SNS-based social commerce. The details of findings and implications are presented.