The influence of role stress on self-disclosure on social networking sites: A conservation of resources perspective

There is a growing body of research about the influence of users’ perceived stress on their social networking site (SNS) usage behaviors. In general, stress negatively leads to a reduction in SNS usage (e.g., discontinuous use and self-disclosure). However, very little research has examined how SNS users strive to resolve stress problems from a positive perspective. To fill this gap, we conducted a research study among users of Moments, a large SNS in China. Based on the conservation of resources (COR) theory, we hypothesized that SNS users’ response to role stress, a subtype of stress, might be positive, leading to investments in social resources (e.g., motivation for relationship maintenance and self-presentation) and generating an increased level of self-disclosure on SNS. The survey results revealed the mediating effect of motivation for relationship maintenance and self-presentation on the SNS stress–disclosure relationship. We found that SNS users conserve their resources by maintaining relationships and presenting themselves positively in response to role stress, as predicted. Theoretical contributions and practical implications of the study are discussed, as are its limitations and directions for future research.     

Influence of SNS User Innovativeness and Public Individuation on SNS Usage Patterns and Social Capital Development: The Case of Facebook

This paper studies the correlation between users’ psychological traits and their social network sites (SNS) usage patterns, and the correlation between SNS usage patterns and the development of social capital as it relates to Facebook. Individual personality traits, including user innovativeness and public individuation, are proposed to be positively correlated with SNS usage patterns such as usage rate and diversification of use. This study specifically classifies social capital into two types—bridging vs. bonding—based on Social Capital Theory, and examines the correlation between SNS usage patterns and social capital development. To investigate the proposed hypotheses of this study, SNS users in Korea were surveyed and a structural equation model was used to analyze and verify the hypotheses. The results showed that users exhibiting both a high degree of innovativeness and public individuation use SNS more frequently and in more diverse ways than users who exhibited lower degrees of innovativeness and public individuation. It was also found that SNS usage patterns are correlated with social capital. The results of this study contribute to SNS-related research work as this study focuses on the development of social capital—a key concept behind the creation and use of SNS—and allows for a deeper understanding of how the psychological traits of individual users affect SNS usage patterns and the development of social capital. This study also offers insights to the corporate sector by providing practical guidelines on how to utilize SNS more effectively.     

Giving too much social support: social overload on social networking sites

As the number of messages and social relationships embedded in social networking sites (SNS) increases, the amount of social information demanding a reaction from individuals increases as well. We observe that, as a consequence, SNS users feel they are giving too much social support to other SNS users. Drawing on social support theory (SST), we call this negative association with SNS usage ‘social overload’ and develop a latent variable to measure it. We then identify the theoretical antecedents and consequences of social overload and evaluate the social overload model empirically using interviews with 12 and a survey of 571 Facebook users. The results show that extent of usage, number of friends, subjective social support norms, and type of relationship (online-only vs offline friends) are factors that directly contribute to social overload while age has only an indirect effect. The psychological and behavioral consequences of social overload include feelings of SNS exhaustion by users, low levels of user satisfaction, and a high intention to reduce or even stop using SNS. The resulting theoretical implications for SST and SNS acceptance research are discussed and practical implications for organizations, SNS providers, and SNS users are drawn.     

Continuance usage of corporate SNS pages: A communicative ecology perspective

This study develops a research model that explains the continuance of corporate social network service (SNS) pages. In order to find antecedents that influence end users’ continuance intention, this study adopts communicative ecology theory from media and communication studies. Results indicate that the quality of social interaction is the most salient feature, as indicated by the fact that it has the highest impact on perceived usefulness and enjoyment. Moreover, content quality also increases both perceived usefulness and enjoyment, while SNS platform quality and service quality increase perceived usefulness only. In addition, perceived network size moderates the impact of social interaction quality on perceived enjoyment.     

Psychological Determinants of Using Facebook: A Research Review

In recent years, Facebook has become the most popular of social networking sites (SNSs). Due to its increasing popularity and rising number of its users, the phenomenon of Facebook has aroused academic interest as well. There has been a growing number of studies on this subject. The aim of this article is to present the main trends in Facebook research and to provide an overview of major empirical findings. Among the most intensively explored topics in Facebook research, studies that concentrate on personality and individual differences among users, the role of self-efficacy, and motivation for using that specific SNS were identified. There is also a growing trend in empirical studies that focuses on testing advanced theoretical models of Facebook usage determinants. Technology acceptance model, presented in this article, is one of the most often used among them. This kind of approach may serve as a suggestion for a methodological conceptualization in the future confirmatory research on Facebook.     

Privacy-Aware Framework for Matching Online Social Identities in Multiple Social Networking Services

With various emerging Social Networking Services (SNS), it is possible for users to join multiple SNS for social relationships with other users and to collect a large amount of information (e.g., statuses on Facebook and tweets on Twitter). However, these users have been facing difficulties in managing all the data collected from the multiple SNS. It is important to match social identities from the multiple SNS. In this study, we propose a privacy-aware framework for a social identity matching (SIM) method across these multiple SNS. It means that the proposed approach can protect user privacy, because only the public information (e.g., username and the social relationships of the users) is employed to find the best matches between social identities. As a result, we have shown by evaluation that the F-measure of the proposed SIM method is about 60%.     

More Network Conscious Than Ever? Challenges,Strategies, and Analytic Labor of Users in the Facebook Environment

As is widely observed, social network sites (SNS) constitute a new environment of interaction where users encounter various challenges that they usually do not encounter in other environments. This study aims to provide an in‐depth understanding of how users deal with the challenges in this unique environment, paying particular attention to the ways in which they examine and reflect on their social ties and networks. On the basis of 36 semistructured interviews with Facebook users, the article presents the hypothesis that participants of SNS develop a tendency to become highly observant and inquisitive about their networks and are frequently involved in an activity that the authors call analytic labor.     

Branding with social media: User gratifications,usage patterns,and brand message content strategies

The emergence of social media provides a new platform for developing brand–consumer relationships. The aim of the current study is to examine the differences in Chinese users’ gratifications of different social media and the impact of brand content strategies on the quality of brand–consumer communication via social media. In the first study, 209 SNS and 161 microblog users were surveyed. Five dimensions of social media gratifications emerged from the factor analysis. Significant differences in the strengths of gratifications were found between SNS and microblog users. Usage patterns of SNS and microblog are analyzed and compared. In the second study, we examined the impact of users’ gratification and the type of social media on the effectiveness of different brand content strategies through a two-week experiment involving 60 SNS users and 61 microblog users. Implications for developing branding strategies on different social media platforms are discussed.     

How behaviors on social network sites and online social capital influence social commerce intentions

Following the fast growth of social network sites (SNSs) such as Twitter, LinkedIn, and Facebook in the cyber world, social commerce has become an important emerging issue in these SNS. The study aims to comprehend the antecedents for SNS users’ social commerce intentions (SCI). This study applied SNS behavior and social capital theory to investigate how these factors influence SCI. Each of the three constructs was further decomposed into two first-order constructs, participating and browsing for SNS behavior, bonding and bridging social capital for social capital, and giving and receiving for SCI. The results, which were based on 970 effective samples of Facebook users, supported several findings. Both SNS behavior and social capital affect SCI, while the relationship between SNS behavior and SCI is partially mediated by the bonding and bridging social capital. In addition, browsing and participating behaviors have significantly positive relationships with bonding and bridging social capitals, respectively. All of the relationships between first-order constructs tested significant, with the single exception that browsing of SNS behavior did not lead to the giving of SCI. This study also applied post hoc analysis for better understanding SCI on SNSs. The results showed that browsing of SNS behavior has a stronger impact than participating of SNS behavior on either bonding or bridging social capital. In addition, bridging social capital has a stronger influence than bonding social capital on the giving intention of social commerce. Theoretical contributions and managerial implications are also discussed to provide several future research directions and suggestions for scholars and SNS operators, respectively.     

Multi-homing on SNSs: The role of optimum stimulation level and perceived complementarity in need gratification

Given the increasingly intense competition for social networking sites (SNSs), ensuring sustainable growth in user base has emerged as a critical issue for SNS operators. Contrary to the common belief that SNS users are committed to using one SNS, anecdotal evidence suggests that most users use multiple SNSs simultaneously. This study attempts to understand this phenomenon of users’ multi-homing on SNSs. Building upon optimum stimulation level (OSL) theory, uses and gratifications theory, and literature on choice complementarity, a theoretical model for investigating SNS users’ multi-homing intention is proposed. An analysis of survey data collected from 383 SNS users shows that OSL positively affects users’ perceived complementarity between different SNSs in gratifying their four facets of needs, namely, interpersonal communication, self-presentation, information, and entertainment. Among the four dimensions of perceived complementarity, only interpersonal communication and information aspects significantly affect users’ intention to multi-home on SNSs. The results from this study offer theoretical and practical implications for understanding and managing users’ multi-homing use of SNSs.     

The roles of media capabilities of smartphone-based SNS in developing social capital

Smartphone-based social networking service (SNS) is widely used as a key social platform that promotes users to build and maintain interpersonal relationships. However, little is known about the main characteristics of smartphone-based SNS that strengthen social relationships. By combining studies of mediated-communication namely, media richness and social presence with the social capital theory, this study proposes that the advanced media capabilities of smartphone-based SNS enable users to develop bridging and bonding social capital. Moreover, the study suggests that advanced media richness increases social presence referring to the feeling of being connected with others in virtual environments. As a key outcome of social capital in the context of smartphone-based SNS use, user satisfaction is considered. The results indicate that first, media richness and social presence, which represent media capabilities of smartphone-based SNS, greatly increase bridging and bonding social capital. Second, media richness enhances social presence in the context of smartphone-based SNS use. Finally, bridging and bonding social capital are key determinants of user satisfaction with smartphone-based SNS. Discussion and implications on the results are presented.     

Identifying valuable customers on social networking sites for profit maximization

With the tremendous popularity of social networking sites (SNS) in this era of Web 2.0, enterprises have begun to explore the feasibility of using SNS as platforms to conduct targeted marking and reputation management. Given huge number of users on SNS, how to choose appropriate users as the targets is the key for enterprises to conduct cost-effective targeted marketing and reputation management on SNS. This paper introduces a novel model for effectively identifying the most valuable users from SNS. Furthermore, we propose to use an optimization technique named semidefinite programming (SDP) to identify the most valuable customers that can generate the maximum of total profit. Our empirical evaluation on a real data set extracted from a popular SNS shows that the proposed model achieves much higher profits than benchmark methods. This study opens doors to more effective targeted marketing and reputation management on SNS.     

Die Rolle der Kultur in der Selbstoffenbarung und Privatsph?re in sozialen Onlinenetzwerken

Social Network Sites (SNSs) rely exclusively on user-generated content to offer engaging and rewarding experience to its members. As a result, stimulating user communication and self-disclosure is vital for the sustainability of SNSs. However, considering that the SNS users are increasingly culturally diverse, motivating this audience to self-disclose requires understanding of their cultural intricacies. Yet existing research offers only limited insights into the role of culture behind the motivation of SNS users to self-disclose. Building on the privacy calculus framework, this study explores the role of two cultural dimensions ?C individualism and uncertainty avoidance ?C in self-disclosure decisions of SNS users. Survey responses of US and German Facebook members are used as the basis for our analysis. Structural equation modeling and multi-group analysis results reveal the distinct role of culture in the cognitive patterns of SNS users. The authors find that trusting beliefs play a key role in the self-disclosure decisions of users from individualistic cultures. At the same time, uncertainty avoidance determines the impact of privacy concerns. This paper contributes to the theory by rejecting the universal nature of privacy calculus processes. The findings provide for an array of managerial implications for SNS providers as they strive to encourage content creation and sharing by their heterogeneous members.     

Personalized recommender system based on friendship strength in social network services

The rapid growth of social network services has produced a considerable amount of data, called big social data. Big social data are helpful for improving personalized recommender systems because these enormous data have various characteristics. Therefore, many personalized recommender systems based on big social data have been proposed, in particular models that use people relationship information. However, most existing studies have provided recommendations on special purpose and single-domain SNS that have a set of users with similar tastes, such as MovieLens and Last.fm; nonetheless, they have considered closeness relation. In this paper, we introduce an appropriate measure to calculate the closeness between users in a social circle, namely, the friendship strength. Further, we propose a friendship strength-based personalized recommender system that recommends topics or interests users might have in order to analyze big social data, using Twitter in particular. The proposed measure provides precise recommendations in multi-domain environments that have various topics. We evaluated the proposed system using one month's Twitter data based on various evaluation metrics. Our experimental results show that our personalized recommender system outperforms the baseline systems, and friendship strength is of great importance in personalized recommendation.     

Examining online citizenship behaviours in social network sites: a social capital perspective

As users have flocked to social network sites (SNSs), these sites have gained tremendous scale and concomitant social influence. This growth has come at the cost of social disruption caused by the posting of abusive comments and rumours that turn out to be false. To combat these negative phenomena, this study proposes SNS citizenship behaviour and examines it from the perspective of social capital theory. This study further examines how the key characteristics of SNS in terms of the concept of customer value affect social capital development in an SNS context. The test results explain that the structural, relational, and cognitive dimensions of social capital have significant direct and indirect effects on the SNS citizenship behaviour. These findings also explain that four key characteristics (exploration, communication support, playfulness, and responsiveness) of SNS affect the three dimensions of social capital. This study contributes to the literature in its establishment of the concept of SNS citizenship behaviour and examines it from the social capital theory perspective. Its findings have practical implications through its guidance on how to develop SNS features and manage these sites for the citizenship behaviour of their users, which are achievements for the harmonious and effective functioning of SNS.     

基于蓝牙技术的近距离移动SNS设计与实现

由于手机中GPS系统定位精度低和室内环境中卫星信号弱,造成移动SNS在室内和近距离环境中社交网络扩展性能差。针对这种情况,提出了基于蓝牙技术的近距离社交网络扩展算法。算法首先在服务器端保存SNS用户手机蓝牙地址与用户的对应信息,然后按照同一区域内"一台蓝牙手机搜索到另一台蓝牙手机"的蔓延模式找到直接相邻的周边用户列表,再在服务器端对周边用户列表按照深度优先算法进行社交网络的深度搜索,找到尽可能多的周边用户并建立社交网络。实验结果表明,移动SNS系统采用该算法比采用现有技术能更加有效、快速地扩展近距离范围内的社交网络。     

Assessing flow experience in social networking site based brand communities

The sustenance of the Social Networking Site (SNS)-based brand communities relies on user retention and their active participation. Therefore, understanding the intrinsic aspects of user behavior in such communities is important for devising strategies to ensure user retention and active participation. Especially, information about the elements that induce flow experiences—the intrinsically enjoyable and immersive experiences—of users in SNS has become important for organizations that host online communities. In our empirical study, we chose to focus especially on SNS-based brand communities, as they are increasingly interesting from an organization-community interaction perspective, but they lack the instruments needed for measuring user experience. The present study addresses this gap by developing an instrument aimed at measuring the user’s flow experience on SNS-based brand communities. A cross-sectional survey with 577 Facebook brand community users was carried out. The findings show that enjoyment, concentration, and social interaction are the components that constitute a user’s flow experience. In addition to providing a valuable tool for business practitioners, the developed instrument offers several theoretical and practical implications for improving user experience of social media.     

Understanding How People Select Social Networking Services: Media Trait,Social Influences and Situational Factors

Social networking services (SNSs) have become very popular, and many Internet users use two or more SNSs. However, little research has been done to understand how and when users select multiple SNSs in series. This study investigates Internet users’ SNS selection behavior in daily life. We adopt the notion of media repertoire to explore how Internet users select SNSs in combination, and we adopt uses and gratifications theory to identify the values that drive these users to choose specific SNSs. We interviewed 40 Taiwanese people to explore the media traits, situational factors and social influences that affect users’ SNS selection behavior. The findings of this study can help SNS companies to improve SNS functions, and help marketers devise marketing strategies for target audiences and find suitable SNS platforms on which to communicate with consumers.     

A study of social networking site use from a three-pronged security and privacy threat assessment perspective

This study focuses on how social networking site (SNS) users’ perceived risk is affected by perceptions of the duality of potentially harmful events (cyber-attacks and privacy breaches) on SNS and explores the potential threat sources that influence such perceptions. Further, it examines the effects of perceived risk on SNS members’ site use and the underlying mechanisms through which these effects are cast. The study finds that users’ perceived SNS risk affects site use behavior through attitude as an important mediator and users’ concern regarding cyber-attacks (security) casts a greater impact than the concern regarding privacy breaches in shaping perceived SNS risk.     

Examining the beneficial effects of individual's self-disclosure on the social network site

Today, individual's self-disclosure on the social network sites (SNS) have become a prevalent phenomenon. This study proposes a research model for investigating the beneficial effects of individual's self-disclosure on the social network sites (SNS). In this study, social support and online social well-being are seen as the beneficial effects of individual's self-disclosure on the SNS. Furthermore, this study examines whether self-disclosure increases social support and online social well-being. For developing a more parsimonious research model, this study chose self-disclosure and social support as second-order constructs. Self-disclosure is devised as a formative second-order construct that includes five components: amount, depth, honesty, intent, and valence. Social support is used as a reflective second-order construct comprising two factors: informational support and emotional support. In addition, this research also proposes that social support increase online social well-being. Further, online social well-being is hypothesized to positively affect the continuance intention in relation to the SNS. Data collected from 333 Facebook users provided support for all the hypotheses. Implications for theory and practice are discussed, and suggestions are made for future research.