• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.8
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• pp.3258-3275
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• 2015

The rise in recent technology has changed the ways, in which people communicate with one another. Social networking services (SNSs) have become one of the most representative means. General SNSs allow users to create their own unique profiles, search for fellow members, share information, etc., while other SNSs have functions that cater to different needs of users. As a result, users of SNSs have begun to pick and choose different SNSs and concurrently use multiple SNSs in order to fulfill all their needs. This exploratory study examined which SNSs are used together and the characteristics that predict the use of multiple SNSs. In addition, it observed the differences between consumers' usage of multiple SNSs in different cultures. An online survey was administered to SNS users in the United States and Korea. The results of the study showed that the use of multiple SNSs is not yet prevalent in Korea, the country that represented a collectivistic culture. In addition, in the U.S., the highest number of users reported that they were active on at least three SNSs.

• Knowledge Management Research
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• v.15 no.3
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• pp.121-140
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• 2014

Many firms have been utilizing SNSs such as Facebook and Twitter actively in order to boost interactions with customers that promote product and service innovations and effective marketing. Although positive outcomes of the customer interactions in SNSs are expected, there exist few studies on the effects of interactions between customers and firms in the SNS context. This study empirically examines how customer experiences in multi-dimensional interactions (i.e., pragmatic, sociability, usability, and hedonic interaction) in corporate SNSs influence customer trust in the firm, and how customer learning benefits are associated with firm benefits such as gaining customer trust. The results indicate that all four dimensions of customer interactions in SNSs have significant effects on customer learning benefits, which in turn significantly influence customer trust in the firm. Meanwhile, the results reveal that there are also direct relationships between specific dimensions of customer interactions in SNSs and the two dimensions of customer trust (i.e., ability-based and benevolence/integrity-based). Based on the findings, this study diagnoses the status of corporate SNSs in terms of collaboration with customers and provides practical implications for firms which attempt to capitalize on the multi-dimensional customer interactions in SNSs and to facilitate innovative activities with customers.

• Journal of Information Processing Systems
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• v.13 no.4
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• pp.1014-1028
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• 2017

Social networking services (SNSs) such as Twitter, MySpace, and Facebook have become progressively significant with its billions of users. Still, alongside this increase is an increase in security threats such as cross-site scripting (XSS) threat. Recently, a few approaches have been proposed to detect an XSS attack on SNSs. Due to the certain recent features of SNSs webpages such as JavaScript and AJAX, however, the existing approaches are not efficient in combating XSS attack on SNSs. In this paper, we propose a machine learning-based approach to detecting XSS attack on SNSs. In our approach, the detection of XSS attack is performed based on three features: URLs, webpage, and SNSs. A dataset is prepared by collecting 1,000 SNSs webpages and extracting the features from these webpages. Ten different machine learning classifiers are used on a prepared dataset to classify webpages into two categories: XSS or non-XSS. To validate the efficiency of the proposed approach, we evaluated and compared it with other existing approaches. The evaluation results show that our approach attains better performance in the SNS environment, recording the highest accuracy of 0.972 and lowest false positive rate of 0.87.

• Korean Security Journal
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• no.29
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• pp.301-336
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• 2011

This exploratory study aims to review the risks and threats of social network services(SNSs), particularly focusing upon the policing perspective. This paper seeks to acknowledge the present risk/danger of SNSs and the very significance of establishing a strategic framework to effectively prevent and/or control criminal misuse of SNSs. This research thus advocates that proactive study on security issues and criminal aspects of SNSs and preventive countermeasures can play a significant role in policing the networked society in the time of digital/internet age. Social network sites have been increasingly attracting the attention of entrepreneurs, and academic researchers as well. In this exploratory article, the researcher tried to define concepts and features of SNSs and describe a variety of issues and threats posed by SNSs. After summarizing existing security risks, the researcher also investigated both the potential threats to privacy associated with SNSs, such as ID theft and fraud, and the very danger of SNSs in case of being utilized by terrorists and/or criminals, including cyber-criminals. In this study, the researcher primarily used literature reviews and empirical methods. The researcher thus conducted extensive case studies and literature reviews on SNSs. The literature reviews herein cover theoretical discussions on characteristics, usefulness, and/or potential danger/harm of SNSs. Through the literature review, the researcher also concentrated upon being able to identify a strategic framework for law enforcement to effectively prevent criminal misuse of SNSs The limitation of this study can be lack of statistical data and attempts to examine previously un-researched area in the field of SNS and its security risks and potential criminal misuse. Thus, to supplement this exploratory study, more objective theoretical models and/or statistical approaches would be needed to provide law enforcement with sustainable policing framework and contribute to suggesting policy implications.

• Asian Journal for Public Opinion Research
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• v.1 no.2
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• pp.90-102
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• 2014

By integrating useful insights from social cognitive theory and social capital theory, we aim to develop a model for better understanding people's behaviors related to the use of social networking sites (SNSs) and formalize the role of social capital in individuals' continuous SNS use. Propositions that emphasize the triadic interactive relationships among environmental, personal, and behavioral factors were highlighted in this study. After reviewing previous studies, in this paper we proposed the following: (1) the causation between SNS use and individuals' perceived social capital might be mutual; social capital may not only be the result of media selectivity, but could also be an essential stimulus initiating the start of using SNSs; (2) the influences of SNSs use on the generation of individuals' online social capital might be conditional upon particular patterns of use; (3) both the level of dependence on SNSs and the differentiated patterns of SNSs use vary according to individuals' perceived offline social capital and their personal characteristics, for instance, personality or self-construal, and social anxiety.

• Asia Marketing Journal
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• v.16 no.1
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• pp.149-168
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• 2014

This study investigates the effect of perceived risk on attitude toward mobile Social Network Services (SNSs). First, we understand that perceived risk of SNSs is a multidimensional concept, and we study the relationship between attitude and perceived risk such as social risk, performance risk, and privacy risk in SNS environments. Subsequently, the relationships between these multidimensional concepts of perceived risk and attitude are investigated. The result indicates that social, performance, and privacy risk have negative effects on attitude. In addition, the moderated effect of individual characteristic variables such as hedonic value and self-construal are confirmed as mitigating factors that alleviate the negative impact of perceived risk. The Findings show that customers who perceive SNSs to be risky are more likely to have a negative attitude toward SNSs. However, the negative impact of perceived risk on their attitude toward SNSs is alleviated in customers with high hedonic value. Similarly, the negative impact of perceived risk on their attitude toward SNS is weaker with customers in interdependent self-construal. This paper presents effective segmentation variables, such as consumer's motivation (hedonic value) and psychological variable (self-construal), which mitigate the risk perception of customers. Therefore, it provides practical guidelines for the marketing managers in terms of who to target and what kind of strategies to implement in terms of these segmentation variables to approach consumers more efficiently.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.3
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• pp.499-510
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• 2012

An SNS(Social Network Service) is an online service that supports an effective way to share information over virtual communities. Recently, as SNSs such as Twitter, Facebook, and Me2day are getting bigger, the purposes of using popular SNSs are expanded to broadcastings, politics, marketings and so on. In this paper, we propose an API to integrate and manage open APIs for various SNSs, presenting a library as an implementation of the proposed API. Also, utilizing the developed library, a smartphone application is provided which supports integrated management of popular SNSs and personal schedules. Using the library, developers can reduce costs when they need to implement specific functions for managing various SNSs. With the developed application, we can read and write to/from the related SNSs on same screen, automatically reminding our schedule and sharing the schedule with friends over the SNSs.

• Journal of The Korean Society of Integrative Medicine
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• v.7 no.3
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• pp.41-50
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• 2019

Purpose : The goal of this descriptive research study was to identify the relationship between t relative deprivation, absolute deprivation, self-esteem, self-efficacy, and social support of university students and their show-off behavior on social network services (SNSs), as well as to identify the influencing factors. Methods : The research tools consisted of 8 items for general characteristics, a measure of deprivation (9 items for relative deprivation and 8 items for absolute deprivation), 15 items for show-off behavior on SNSs, 10 items for self-esteem, 25 items for social support, and 20 items for self-efficacy. Data analysis was performed using the SPSS 22.0 program for the descriptive statistics, t-test, ANOVA, Pearson's correlation, and stepwise multiple regression. Results : The results showed relative deprivation (B=.102, t=4.060, p<.001) was the most important factor in show-off behavior on SNSs for university students. Furthermore, social support (B=-.178, t=-3.099, p=.002), absolute deprivation (B=-.175, t=-4.284, p<.001), and self-esteem (B=-.212, t=-2.490, p=.014) accounted for 21.5% of the explanatory power (F=14.215, p<.001). Conclusion : The study findings revealed that relative deprivation is the most important factor in the show-off behavior of university students on SNSs. Social support, absolute deprivation, and self-esteem were also identified as factors that affect their show-off behavior on such services. This study aims to contribute to the effective program progress by providing basic data for the development of the show-off behavior on SNSs intervention and prevention programs to reduce the side effects of various the show-off behaviors on SNSs of university students.

• Knowledge Management Research
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• v.13 no.3
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• pp.1-16
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• 2012

Nowadays, many first-time Internet users start off heavily using SNSs (Social Network Sites), such as Cyworld, Facebook, and Twitter. The reason for the growth of SNS use is closely related to the various services of gaming, playing, using entertainment items, sharing knowledge etc., provided by the SNS; technically, the most important of the services provided would be the behavior of sharing knowledge among people connected and networked in the site. In sum, we assume that the users may communicate well with each other and pay attention to building a close social network using the abovementioned activities. However, researchers have just begun to focus on the issues explaining why Internet users rush into SNSs and enjoy their time there. Therefore, we investigated the reasons for posting and sharing knowledge voluntarily on the SNS and how others respond to the posted knowledge and are actually affected by the behavior. We applied social identity theory and social capital theory in this study to find which network externalities in SNSs may affect online identity-based attachment and cause them to produce a knowledge sharing generation. We found that people's online identity in SNSs is closely related to and influences knowledge sharing. This empirical study resulted in the importance of social relations in SNSs, which leads to sharing knowledge.

• Asia pacific journal of information systems
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• v.33 no.2
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• pp.367-388
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• 2023

This study aimed to examine the factors of information-sharing intention on social networking sites (SNSs) by integrating the perspectives of the institution-based trust, social presence, and theory of reasoned action (TRA). An empirical survey was conducted and 364 valid respondents were collected from Facebook (FB) users in Taiwan. These data were analyzed against the research model using the partial least squares (PLS) structural equation modeling. The findings revealed that situational normality and structural assurance have a positive influenced user trust in SNSs which in turn increased their information-sharing attitudes. Furthermore, the subjective norms, user information-sharing attitudes and social presence of the SNSs were shown to have a positive influenced on user information sharing intention. Finally, this study provided several important theoretical and practical implications to understand factors affecting information-sharing intention on SNSs.