• International Journal of Contents
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• v.18 no.3
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• pp.21-33
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• 2022

Previous research has provided inconsistent findings as to whether socially (in)competent individuals benefit from social networking sites (SNSs) use. Based on the rich-get-richer model, some studies have shown that socially competent individuals expand their existing networks even further via SNSs use. Based on the poor-get-richer model, other studies have shown that those with poor social skills can achieve beneficiary outcomes from SNSs use by overcoming their deficient social resources of offline environments. The present study is devised to add evidence regarding how and why social skills are related to SNSs use. To this end, we tested the relationships between social competence and three types of Facebook communication activities: interaction, self-presentation, and passive observation. Further, drawing on the social cognitive theory, the mediating role of outcome expectancy in the relationship between social competence and Facebook communication activities was examined. Using an online survey in South Korea (N = 708), it was found that individuals with higher social competence were more likely than those with lower social competence to engage in interaction, self-presentation, passive observation on Facebook. Moreover, these relationships were mediated by outcome expectancy that the desired social outcomes could be achieved as a result of Facebook use.

• Journal of Distribution Science
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• v.22 no.3
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• pp.83-92
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• 2024

Purpose: With the rapid information distribution of sport-related SNS, sport industry has utilized SNS as technical solution to distribute sport and health-related information. The current study examined the effect of SNS information use for running-specific content on running engagement and psychological well-being. Research design, data and methodology: Data were collected via online survey of participants in marathon events of United States. Descriptive statistics and Chi-square test were conducted to compare demographics and psycho-behavioral outcomes among SNS information users and non-users for running-specific contents. Multivariate hierarchical regression was next employed to examine research hypotheses. Results: A mass-participant running event was used to test seven hypotheses related to the potential role of SNS for running content in promoting running engagement and life satisfaction. In general, findings revealed that use of SNS for running content along with frequency of use can perhaps facilitate running intensity and influence participation in running-related outdoor activities. Furthermore, while overall life satisfaction did not appear to be influenced by use of SNS for running content, there was a demonstrated influence on the individual satisfaction domains. Conclusions: The findings of current study suggest that sport SNS is information distribution media enhancing users' engagement and their six life satisfaction domains. Further implications were discussed.

• Journal of KIISE
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• v.41 no.12
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• pp.1110-1116
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• 2014

Nowadays, social networking sites (SNSs), such as Twitter, LinkedIn, and Tumblr, are coming into the forefront, due to the growth in the number of users. While users voluntarily provide their information in SNSs, privacy leakages resulting from the use of SNSs is becoming a problem owing to the evolution of large data processing techniques and the raising awareness of privacy. In order to solve this problem, the studies on protecting privacy on SNSs, based on graph and machine learning, have been conducted. However, examples of privacy leakages resulting from the advent of a new SNS are consistently being uncovered. In this paper, we propose a technique enabling a user to detect privacy leakages beforehand in the case where the service provider or third-party application developer threatens the SNS user's privacy maliciously.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.180-196
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• 2021

The goal of this research is to examine the effects of sports star influencer advertising value on brand equity in social networking sites. In particular, this study identifies the moderating role of consumer team identification. A total of 350 university students participated via online survey. To test proposed hypotheses, confirmatory factor analysis, structural equation modeling, and multi-group analysis were employed. It was found that informativeness, entertainment, and credibility showed significant positive effects on brand equity. Also, significant moderation effects of team identification were found in that consumers with high team identification compared to those with low team identification perceived higher value of entertainment. On the other hand, consumers with low team identification perceived more irritation than those with high team identification. This study contributes to the understanding of sports star influencer advertising in social networking sites. Theoretical and practical implications as well as suggestions for future research in this area are provided.

• International Journal of Computer Science & Network Security
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• v.23 no.11
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• pp.59-66
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• 2023

Text mining (TM) is most widely used to find patterns from various text documents. Cyber-bullying is the term that is used to abuse a person online or offline platform. Nowadays cyber-bullying becomes more dangerous to people who are using social networking sites (SNS). Cyber-bullying is of many types such as text messaging, morphed images, morphed videos, etc. It is a very difficult task to prevent this type of abuse of the person in online SNS. Finding accurate text mining patterns gives better results in detecting cyber-bullying on any platform. Cyber-bullying is developed with the online SNS to send defamatory statements or orally bully other persons or by using the online platform to abuse in front of SNS users. Deep Learning (DL) is one of the significant domains which are used to extract and learn the quality features dynamically from the low-level text inclusions. In this scenario, Convolutional neural networks (CNN) are used for training the text data, images, and videos. CNN is a very powerful approach to training on these types of data and achieved better text classification. In this paper, an Ensemble model is introduced with the integration of Term Frequency (TF)-Inverse document frequency (IDF) and Deep Neural Network (DNN) with advanced feature-extracting techniques to classify the bullying text, images, and videos. The proposed approach also focused on reducing the training time and memory usage which helps the classification improvement.

• Information Systems Review
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• v.15 no.2
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• pp.21-40
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• 2013

Because of the recent development of information technology, especially the popularization of social media, false rumors and abusive comments on social media have increased, which has accelerated conflicts in online society. Since these conflicts lead to significant negative influences on online society, it is important to figure out how to cope with the conflicts and integrate the society. Thus, this study provides effective political implications that will advance the society where people can communicate based on trust in social media. In addition, we suggest new sociocultural change phenomenon and social integration by drawing the Causal Loop Diagram focusing on the dimension of social capital in social media environment.

• Journal of KIISE:Information Networking
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• v.37 no.2
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• pp.94-98
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• 2010

In this paper, we formalize a new adaptive online price control scheme based on the Stackelberg game model. By using the hierarchical interaction strategy, control decisions in each mechanism act cooperatively and collaborate with each other to satisfy conflicting performance criteria. In addition, our dynamic online approach is practical for real network implementation. With a simulation study, the proposed scheme can adaptively adjust the network price to approximate an optimized solution under widely diverse network situations.

• Journal of KIISE:Information Networking
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• v.37 no.3
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• pp.228-233
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• 2010

During wireless network operations, adaptive power control is an effective way to enhance the network performance. In this paper, a new online power control scheme is proposed based on the evolutionary game theory. To converge a desirable network equilibrium, the proposed scheme adaptively adjusts a transmit power level in a distributed online manner. With a simulation study, we demonstrate that the proposed scheme improves network performance under widely diverse network environments.

• Journal of Engineering Education Research
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• v.18 no.6
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• pp.18-23
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• 2015

Nowadays, IT that leads information era is closely connected to our lives. The importance of training human resources for global empowerment on IT is being emphasized all over the world. With the growth of international society, the cultivation of global human resources now includes the cultivation of future human resources and the educations related with the career development program. However, the programs that colleges are operating for the cultivation of global human resources have been limited only to supporting the participation in international training program, operating camp and conferences, etc. On the contrary, to give many learners chances of experiencing courses for global empowerment and employment capability, We are operating the Internet of Everything online education program with Cisco Networking Academy Korea. Based on the management cases of Internet of Everything online education program, this thesis is suggesting a career program on global empowerment that many learners can experience, different from the limitation of the existing program.

• The Research Journal of the Costume Culture
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• v.25 no.6
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• pp.928-942
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• 2017

Social media has become an integral part of consumers' daily lives. Individuals connect with one another on social networking sites to like, share, and post information and experiences. As social media become popular among millennials, a growing number of fashion retailers use social media networks in the context of online commerce transactions. Accordingly, an increased number of fashion retailers has been using social media as an advertising tool and a retail channel. Despite the popularity of social media among millennials, empirical findings are limited to reveal factors associated with young consumers' intentions to use social commerce in fashion shopping. This study sought to examine factors affecting millennials' intentions to use social commerce in fashion shopping by adopting the technology acceptance model. A total of 524 college students completed an online survey in the U.S. The results of structural equation model confirmed that perceived ease of use, usefulness, and enjoyment had a positive impact on millennials' attitudes and intentions toward fashion shopping in social commerce. While both perceived ease of use and usefulness positively influenced enjoyment, usefulness had a stronger impact than ease of use. Compared to usefulness, enjoyment had much stronger impact on attitudes. Further structural model analysis revealed a direct, positive influence of perceived usefulness of social commerce on perceived enjoyment of social commerce, which has not been explored in prior studies. These findings provide theoretical and managerial implications.