• The Journal of Information Systems
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• v.26 no.4
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• pp.39-62
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• 2017

Purpose The purpose of this study is to investigate the factors which affect users' fatigue and reluctant intention of using a SNS. In particular, this study focused on the fatigue of SNS users, as the recent excessive use of SNS has led to negative effects such as invasion of privacy, addition and social overload. fatigue This research will explain how producing adverse effects by using SNS caused psychological and mental depression. Previous researches explained that mental fatigue associated with SNS is not simple one and it is complicated with various psychological factors. Considering this fact, this study introduced a behavioral economics concept and a social comparison theory in the research model. Design/methodology/approach For research purposes, this study developed research hypotheses in order to empirically examine the factors that affect SNS users' fatigue and reluctant intention. The empirical research was based on a poll done through 800 research candidates in the SNS fields and the final 451 responses were collected and used in statistical data analysis. The adaptability, trust, and validity to measurement model were verified and the structural relationship in the research model was analyzed through these 451 responses. Findings First of all, maintenance fatigue of SNS had a positive significant effect on coupling and fatigue of SNS and information privacy had a non-significant effect on fatigue. Second, coupling had a negative significant effect on rational inattention, however, perceived cost had a non-significant effect on rational inattention. Third, lateral/upward comparison had a positive significant on user's negative emotions. Meanwhile, user's negative emotions did not have a significant effect on rational inattention.

• Journal of Digital Convergence
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• v.12 no.10
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• pp.211-222
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• 2014

This study investigates the antecedents of continuance intention of mobile SNS. In addition, it also explores the mediating role of perceived value in the relationship between the antecedent and continuance intention. This study posits that a social influence, perceived usefulness, privacy concern, and a perceived effort of use are major factors to influence continuance intention of SNS. By using a PLS analysis, this finding suggests that consumers' perception of the value of SNS which is previously overlooked, is a primary determinant of continuance intention, and the other exploratory factors are mediated through perceived value in cognitive aspect. This research aims to examine consumer's SNS continuance intention in terms of consumer's perspective, not just from the technology user perspective. Therefore, this research provides a useful guideline for marketing managers on how to manage Mobile SNS properly.

• Journal of the Korea Society of Computer and Information
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• v.27 no.9
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• pp.235-242
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• 2022

One of the important research streams in the privacy literature for the past decade has been to discover factors affecting the decision-making process related to self-disclosure, called the cost-benefit analysis. However, although human behavior is greatly influenced by affective as well as cognitive factors, most of the factors found in previous studies are those with cognitive properties. Based on the awareness of this imbalanced situation, the study examines the role of affective factors on self-dislosure decision-making, especially SNS enjoyment and SNS fatigue. As a result of data analysis, the study finds that the influence of these affective factors is significant, and the influence of SNS enjoyment is greater than that of SNS fatigue. As for the relationship between the affective factors and the decision-making factors, the study finds that the positive affect(enjoyment) relates to only the positive evaluation factor(benefit) and the negative affect(fatigue) relates only the negative evaluation factor(cost), which demonstrate the congruent effect mechanism. Based on the result, the study discusses meaningful implications and suggestions for future studies.

• Journal of the HCI Society of Korea
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• v.9 no.1
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• pp.1-9
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• 2014

Use of smart phones and other means allowed ready access to social networking service (SNS) and its users have explosively increased. In the meantime, Facebook which has the largest user community has caused various social problems due to its conservative privacy policy; yet its users are continuously increasing and committed to the service although its privacy policy has not so much changed. In this research, we studied the irony of increasing popularity of Facebook despite its negative privacy policy in the light of its users' double-sided desire. That is, users use Facebook because they are curious about other users' personal information and activities although they are at the same time anxious about public exposure of their own personal information and activities. To test this conjecture, we investigated users' double-sided desire (privacy protection, viewing others' activities) using questionnaire and reverse scenario test and confirmed that proper balance of privacy protection and activity exposure is an important contributor to continued popularity of Facebook. Much research studied SNS focusing on self-presentation that is on the side of self-exposure. This research highlights the importance of balance keeping between hide-and-seek for SNS companies such as Facebook in the use of privacy policy.

• Journal of Information Technology Services
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• v.11 no.2
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• pp.319-337
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• 2012

To stress the importance of privacy in social networking, I presented an analysis on how information control and information management vulnerability influence trust and privacy concerns in social networking, and how trust and privacy concerns influence the sustainable usage intention of social network services. I also analyzed the factors affecting privacy concerns to present the method to alleviate social network users' concerns about privacy. Information collection control, information processing control and information management vulnerability were chosen and analyzed as the factors affecting privacy concerns. The results showed that information collection control and information management vulnerability significantly affected trust and privacy concerns; and information processing control did not significantly affect privacy concerns. The relationship between trust and privacy concerns, and sustainable usage intention was statistically significant; and the relationship between trust and expansion of communication channels was also statistically significant.

• Journal of Digital Convergence
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• v.6 no.4
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• pp.123-135
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• 2008

본 논문은 사회네트워크(social network system, SNS)에 대한 사용자의 추가적 사용의도를 개인정보보호의 관점에서 고찰하였다. SNS에서 사용자는 SNS의 운영 시스템과 사용자간 정보의 교류가 이루어지는 SNS사이트라는 서로 다른 두 주체와의 상호작용을 통하여 개인정보의 보호 정도를 인지하게 되고, 이러한 인지정도는 사회네트워크시스템과 SNS사이트에 대한 신뢰에 각각 영향을 미치고, 이 신뢰는 사용자의 사용의도를 증가시킨다는 연구모델을 설정하고 가설을 검정하였다. 주요 연구 결과는 SNS 시스템과 SNS 사이트에 대해 사용자가 인지하는 개인정보보호의 수준은 SNS시스템과 SNS사이트에 대한 신뢰 수준에 통계적으로 유의한 영향을 미치는 반면, 사용자의 추가적 사용의도는 단지 SNS 시스템의 신뢰에 의해서만 영향을 받는 것으로 나타났다.

• Journal of Information Technology Services
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• v.14 no.4
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• pp.137-157
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• 2015

The development of Social Network Service (SNS) has brought many positive changes to the ways people communicate, interact and share information. However, using the SNS does not always leads to in a positive results, particularly when it is addictively used. In fact, the addictive use of SNS results in many negative effects in our society. Recently, SNS users feel negative emotions such as expecially stress and fatigue while using SNS. Thus, the purpose of this study is to empirically examine antecedents of user fatigue on SNS, which can be explained by the degree of Individual, environment and SNS characteristics. This study also examines consequences of user fatigue on SNS. Lastly, we examine the moderating effects of Habit among SNS fatigue, barrier of living and task performance decline. The data for empirical analysis were collected 401 responses on SNS users in Korea. The results of this study are as follows; First, reputation perception, loneliness, unwanted relation, privacy concern, information overload, social presence and interaction are significantly related to SNS fatigue. Second, SNS fatigue, barrier of living and Task performance decline are significantly related to discontinuous usage intention. Third, the moderating effect of Habit of SNS using is found in the relationship among SNS fatigue, barrier of living and task performance decline. Based on the results of this study, Theoretical and practical suggestions were discussed.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.6
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• pp.1619-1637
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• 2016

With wide distribution of smart phones and development of mobile network, social network service (SNS) is displaying remarkable growth rates. Users build new social relations by sharing their interests, which brings surging growth to the SNS based on the combination between the strength of expanding the place for communication and distribution of smart phones featured with easy portability. This study is designed to understand impact factors of SNS on users in Korea and to conduct empirical research on casual relationship between the factors above and the factors affecting personal information behavior through the privacy protection and self-efficacy. In order to accomplish the objective above, the study presented a research model applied with key variables of the Health Belief Model (HBM) predicting behaviors capable of recognizing and preventing individual diseases in the field of health communication. To perform empirical verification on the research model of this study, a survey was conducted upon college students at N university located in Chungcheongnam-do and K university in rural area, who have experiences using the SNS. Through this survey, a total of 186 samples were collected, and path analysis was performed in order to analyze the relationship between the factors. Based on the findings from the survey, first, variables Perceived probability, Perceived severity, Perceived impairment of the HBM, key factors of personal information protection behavior on the SNS, were found to exhibit negative relationship with self-efficacy, and Perceived probability, Perceived benefit, Perceived impairment were found to exhibit negative relationship with privacy protection. But the above, Perceived severity showed positive relationship with privacy protection, and Perceived benefit and self-efficacy also displayed positive relationship. Second, although self-efficacy, a parameter, showed positive relationship with privacy protection, it demonstrated negative relationship with personal information protection behavior. Lastly, privacy protection exhibited positive relationship with personal information protection behavior. By presenting theoretical model reflected with characteristics of prevention based on these findings above unlike previous studies on personal information protection using technologies threatening personal information, this study is to provide theoretical and operational foundation capable of offering explanations how to predict personal information protection behavior on the SNS in the future.

• Journal of Digital Convergence
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• v.17 no.7
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• pp.285-292
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• 2019

With the popularization of PC, SNS and IoT, a lot of data is generated and the amount is increasing exponentially. Artificial neural network learning is a topic that attracts attention in many fields in recent years by using huge amounts of data. Artificial neural network learning has shown tremendous potential in speech recognition and image recognition, and is widely applied to a variety of complex areas such as medical diagnosis, artificial intelligence games, and face recognition. The results of artificial neural networks are accurate enough to surpass real human beings. Despite these many advantages, privacy problems still exist in artificial neural network learning. Learning data for artificial neural network learning includes various information including personal sensitive information, so that privacy can be exposed due to malicious attackers. There is a privacy risk that occurs when an attacker interferes with learning and degrades learning or attacks a model that has completed learning. In this paper, we analyze the attack method of the recently proposed neural network model and its privacy protection method.

• Journal of Korea Multimedia Society
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• v.22 no.9
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• pp.1046-1054
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• 2019

With regard to the diffusion of mobile Internet service and generational differences for Internet use, this study aims to explore the relationship between the Internet activities and privacy concern based on the media dependency theory. Using the Korea Media Panel data produced by KISDI in 2018, this study analysed 8,988 nation-wide samples to test the difference of Internet use in personal privacy concern among generations. The results of the study showed that there was statistically significant difference for privacy concern among generations. This study has an implication to reveal the phenomenon of 'privacy paradox' by showing that SNS use negatively influenced users' privacy concern.