Social network site use,mobile personal talk and social capital among teenagers

Social network sites (SNSs) and mobile phones are becoming increasingly important in teenagers’ lives. Using data collected from a nationally representative survey (N = 800), this study explores the variation of social capital by SNS adoption, different SNS activities, and mobile personal talk among teenagers. The results indicate that SNS adoption and mobile personal talk can not only enhance teenagers’ close ties with friends, but also jointly promote teenagers’ civic engagement. Among SNS users, mobile personal talk also increase teens’ network capital. Different SNS activities such as commenting on friend’s Facebook pictures and joining Facebook groups have different relationships with social capital, and such relationships are moderated by mobile personal talk.     

Who wants to be “friend-rich”? Social compensatory friending on Facebook and the moderating role of public self-consciousness

The present research aims to provide insight into social compensatory friending on social network sites by investigating the effects of self-esteem and self-consciousness on number of friends in the context of Facebook use. It was hypothesized that Facebook users low in self-esteem, when compared with high-self-esteem individuals, would engage in friending more actively and thereby accumulate a large number of friends as a way to compensate for the deficiency in self-esteem. We also hypothesized that the relationship between self-esteem and number of Facebook friends would vary depending on the levels of public self-consciousness. Data were collected from a college student sample in the United States (N = 234) based on an online cross-sectional survey. The results supported the hypothesis on social compensatory friending, demonstrating a negative association between self-esteem and number of Facebook friends. Furthermore, the data yielded support for the hypothesized moderating role of public self-consciousness in social compensatory friending: the negative association between self-esteem and number of Facebook friends was significant only for Facebook users who are high in public self-consciousness but not for those who are low in public self-consciousness. Implications for understanding social network site users’ friending behavior in light of social compensation motives are discussed.     

All the news that’s fit to post: A profile of news use on social networking sites

Facebook and other social networking sites (SNSs)¹ are altering the way individuals communicate. These online environments allow users to keep up with friends, network with colleagues, and share their personal views and observations with others. Previous work describes typical social networking site users as young, extroverted, and technologically savvy. Little research exists, however, on the emerging role of news in the social network environment. With over 500 million global Facebook users, both print and television based media outlets are making concerted efforts to become part of this important and increasingly ubiquitous virtual world. The present study uses a sample of students, faculty, and staff from a large university to investigate the factors that are related to news use on Facebook. Findings indicate that while news use is still a minor component of overall social network site activity, certain key variables, such as gender and life satisfaction, have a significant impact on how Facebook is used for news-related purposes. Future implications for news in the social networking world are presented and discussed.     

Cultural differences,experience with social networks and the nature of “true commitment” in Facebook

Formed on an analysis of design practices, the behaviour chain model stipulates that social network designer’s ultimate aim is to encourage users to adopt the social network site by entering a phase of true commitment. During this phase, social network users are driven to connect to known or unknown others by engaging in instrumental uses that create value and content and involve others, while staying active and loyal by investing time in the site. This paper investigates how designer’s intentions, as captured by the behaviour chain model, materialise through users’ reported practices in the social network site Facebook. A total of 423 Facebook users from 5 countries answered a questionnaire that allowed us to examine how 2 user characteristics, experience with the site, and culture, shape the nature of true commitment. Our findings show that experience with the site and even more so, culture, have an effect on users’ motivations for using Facebook, as well as their instrumental uses and the time they invest on the site. This analysis reifies the behaviour chain model by allowing designers to understand how the features they design are embodied in users’ practices.     

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.     

Face-to-face or Facebook: Can social connectedness be derived online?

Previous research has identified the importance of social connectedness in facilitating a number of positive outcomes, however, investigation of connectedness in online contexts is relatively novel. This research aimed to investigate for the first time social connectedness derived from the use of Facebook. Study 1 investigated whether offline social connectedness and Facebook connectedness were separate constructs. Participants were Facebook users (N = 344) who completed measures of offline social connectedness and Facebook social connectedness. Factor analysis (Maximum Likelihood analysis with Oblimin rotation) revealed Facebook connectedness to be distinct from offline social connectedness. Study 2 examined the relationship between Facebook social connectedness and anxiety, depression, and subjective well-being in a second sample of Facebook users (N = 274) in a cross-sectional design. Results suggest that Facebook use may provide the opportunity to develop and maintain social connectedness in the online environment, and that Facebook connectedness is associated with lower depression and anxiety and greater satisfaction with life. Limitations and future directions are considered. It is concluded that Facebook may act as a separate social medium in which to develop and maintain relationships, providing an alternative social outlet associated with a range of positive psychological outcomes.     

Mining User Knowledge for Investigating the Facebook Business Model: The Case of Taiwan Users

Social network sites (SNS), as web-based services, allow users to make open or semi-open profiles within the systems they are part of, to see lists of other people in the group and to see the relations of people within different groups. Facebook is essentially an online social network site in which individuals can share photographs, personal information, and join groups of friends. This study investigates the experiences on Facebook of various users in Taiwan. Their degrees of confidence were often demonstrated by word-of-mouth disseminations about the social network site. Further, this research looks at how the reputations of Facebook proprietors and their affiliates were disseminated through relationship marketing for formulated social network marketing in its business model concerns. Therefore, this study uses the a priori algorithm as an association rules approach, and cluster analysis for data mining. We divide Facebook users into two groups of contributors and lurkers by their profiles and then find each group’s social network community information utilization and online purchase behaviors for investigating the Facebook business models.     

Strength matters: Self-presentation to the strongest audience rather than lowest common denominator when faced with multiple audiences in social network sites

On social network sites (e.g. Facebook), individuals self-present to multiple audiences simultaneously 24 h a day. Prior research has inferred this results in a lowest common denominator effect (LCDE) whereby people constrain their online presentation to the standards of their strictest audience. However, this existing work neglects to address differences in the ‘value’ (social/economic) of the audience. Through the lens of self-presentation theory, we argue that it is not the strictest audience that constrains behavior but the strongest (i.e. that which has the highest score for standards and value combined). We call this the strongest audience effect (SAE). The aim of this research is to examine and contrast the LCDE and SAE. A survey of young Facebook users (n = 379) provides support for the SAE when compared to LCDE, with the strength of the strongest audience predicting behavioral constraint and also social anxiety. Additional insights are generated into which audiences are perceived as the strongest. This study contributes a novel and more holistic lens to understand self-presentation in the presence of multiple audiences in social network sites.     

Mosco: a privacy-aware middleware for mobile social computing

The proliferation of mobile devices coupled with Internet access is generating a tremendous amount of highly personal and sensitive data. Applications such as location-based services and quantified self harness such data to bring meaningful context to users’ behavior. As social applications are becoming prevalent, there is a trend for users to share their mobile data. The nature of online social networking poses new challenges for controlling access to private data, as compared to traditional enterprise systems. First, the user may have a large number of friends, each associated with a unique access policy. Second, the access control policies must be dynamic and fine-grained, i.e. they are content-based, as opposed to all-or-nothing. In this paper, we investigate the challenges in sharing of mobile data in social applications. We design and evaluate a middleware running on Google App Engine, named Mosco, that manages and facilitates sharing of mobile data in a privacy-preserving manner. We use Mosco to develop a location sharing and a health monitoring application. Mosco helps shorten the development process. Finally, we perform benchmarking experiments with Mosco, the results of which indicate small overhead and high scalability.     

Incremental face recognition for large-scale social network services

Due to the rapid growth of social network services such as Facebook and Twitter, incorporation of face recognition in these large-scale web services is attracting much attention in both academia and industry. The major problem in such applications is to deal efficiently with the growing number of samples as well as local appearance variations caused by diverse environments for the millions of users over time. In this paper, we focus on developing an incremental face recognition method for Twitter application. Particularly, a data-independent feature extraction method is proposed via binarization of a Gabor filter. Subsequently, the dimension of our Gabor representation is reduced considering various orientations at different grid positions. Finally, an incremental neural network is applied to learn the reduced Gabor features. We apply our method to a novel application which notifies new photograph uploading to related users without having their ID being identified. Our extensive experiments show that the proposed algorithm significantly outperforms several incremental face recognition methods with a dramatic reduction in computational speed. This shows the suitability of the proposed method for a large-scale web service with millions of users.     

Emotional disclosure on social networking sites: The role of network structure and psychological needs

We conducted three studies to understand how online emotional disclosure is influenced by social network structure on Facebook. Results showed that emotional disclosure was associated with both the density and size of users’ personal networks. Facebook users with denser networks disclosed more positive and negative emotions, and the relation between network density and emotional disclosure was mediated by stronger need for emotional expression. Facebook users with larger networks on Facebook disclosed more positive emotions, and the relation between network size and emotional disclosure was mediated by a stronger need for impression management. Our study extends past research by revealing the psychological mechanisms through which personal social network structure influences emotional disclosure. It suggests that social network size and density are associated with different psychological needs, which in turn lead to different patterns of emotional disclosure.     

Habitual Facebook Use and its Impact on Getting Deceived on Social Media

There are a billion Facebook users worldwide with some individuals spending 8 hours each day on the platform. Limited research has, however, explored the consequences of such overuse. Even less research has examined the misuse of social media by criminals who are increasingly using social media to defraud individuals through phishing‐type attacks. The current study focuses on Facebook habits and its determinants and the extent to which they ultimately influence individual susceptibility to social media phishing attacks. The results suggest that habitual Facebook use, founded on the individual frequently using Facebook, maintaining a large social network, and being deficient in their ability to regulate such behaviors, is the single biggest predictor of individual victimization in social media attacks.     

How lonely people use and perceive Facebook

This study examined the relationship between loneliness and various aspects of Facebook use including use activity, self-disclosure, attitudes, and satisfaction. Data were collected through an online survey among adult Facebook users (N = 536). Results revealed that loneliness was associated with a fewer number of Facebook friends and a less overlapping between Facebook and offline friends. Loneliness was inversely related to communicating activities but not significantly to presenting activities. Also, lonely people tended to engage in positive self-disclosure less but negative self-disclosure more. Although lonely people viewed Facebook as more useful for self-disclosure and social connection, their satisfaction of Facebook use was lower than their counterparts.     

Some of these things are not like the others: Examining motivations and political predispositions among political Facebook activity

Political engagement via social media has evolved, and web sites including Facebook continue to be a place for individuals, especially young ones, to engage politically. Because politics on social media is diverse, it makes sense that the reasons for participating in it vary. In addition, because current events information and political news is accessible via social media, the role of attention to traditional news sources in this type of political engagement is debatable. The study takes up the opportunity to address these questions by examining young people’s attention to television, print, and online news, their engagement with four Facebook political activities, and their psychological motivations for using the website politically just prior to the 2012 U.S. Presidential election. The results suggest that the primary motivations for using Facebook politically are not universal, and indeed vary by activity. They revolve around connecting with others socially, sharing information with others, and presenting oneself to others. In addition, attention to offline and online news largely do not matter. The study moves research forward by describing the variety of psychological predispositions some Facebook users bring to their political engagement with the web site, and how these predispositions vary across different Facebook political behavior.     

Reactions to other-generated face threats on Facebook and their relational consequences

Impression management refers to an individual's deliberate efforts to cultivate a particular image. Sometimes impression management occurs in reaction to a face threat—an incident or behavior that could create an impression inconsistent with one's desired self-image. On social network sites (SNSs) such as Facebook, where content can be shared widely and is often persistent, studies have repeatedly shown that people are vulnerable to face threats resulting from other-generated content. While there has been much documentation of face threats occurring in the context of SNSs and how people react to them, we know very little about the relational consequences of carrying out a particular reaction. This paper reports on a survey (N = 150) of adult Facebook users examining how certain reactive strategies and the severity of the face threat affect perceived changes in closeness between the victim and offender.     

Control your Facebook: An analysis of online privacy literacy

For an effective and responsible communication on social network sites (SNSs) users must decide between withholding and disclosing personal information. For this so-called privacy regulation, users need to have the respective skills—in other words, they need to have online privacy literacy. In this study, we discuss factors that potentially contribute to and result from online privacy literacy. In an online questionnaire with 630 Facebook users, we found that people who spend more time on Facebook and who have changed their privacy settings more frequently reported to have more online privacy literacy. People with more online privacy literacy, in turn, felt more secure on Facebook and implemented more social privacy settings. A mediation analysis showed that time spend on Facebook and experience with privacy regulation did not per se increase safety and privacy behavior directly, stressing the importance of online privacy literacy as a mediator to a safe and privacy-enhancing online behavior. We conclude that Internet experience leads to more online privacy literacy, which fosters a more cautious privacy behavior on SNSs.     

Examining social adjustment to college in the age of social media: Factors influencing successful transitions and persistence

Social adjustment plays a critical role in student persistence at college. Social media such as Facebook, used widely by this population, have the potential to positively enhance students' transition to college by encouraging connection and interaction among peers. The present study examines the role Facebook plays in students' social adjustment during their first year of college using survey data (N = 338) collected from students at a private, liberal arts college in the Midwest. We develop and test a model that includes both traditional and Facebook-specific predictors of social support and social adjustment, as well as explore the role that these factors play in predicting students' enrollment status the following year. Results indicate positive relationships between two Facebook variables—the number of Facebook Friends students have at the college and their engagement in collaborative behaviors with classmates through the site—and measures of social support and social adjustment, as well as a positive relationship between social adjustment and persistence at the university.     

Leveraging social networks in the adoption of mobile technologies for collaboration

Mobile devices such as tablets, smart phones, and portable computers are connecting users in a myriad of contexts. Social networks can be a benefit for individuals in the knowledge acquisition process, and group dynamics disclosed by Social Network Analysis provides a good basis for studying how mobile collaboration is affected by social networks. This study focuses on two aspects of social network mechanism, namely eigenvector centrality and network reciprocity. The assumption is that social networks influence mobile technology use behaviors, and can be optimized to leverage mobile collaboration. A series of controlled field experiments involving 327 groups were conducted to evaluate the differences between two modes of mobile collaborative settings: individual non-collaborative vs. group collaborative. Results indicate that by leveraging social networks in a mobile platform, study participants were able to positively heighten their collaborative knowledge acquisition process through enhanced group interactions and enjoyment.     

LotusNet: Tunable privacy for distributed online social network services

The evolution of the role of online social networks in the Web has led to a collision between private, public and commercial spheres that have been inevitably connected together in social networking services since their beginning. The growing awareness on the opaque data management operated by many providers reveals that a privacy-aware service that protects user information from privacy leaks would be very attractive for a consistent portion of users. In order to meet this need we propose LotusNet, a framework for the development of social network services relying on a peer-to-peer paradigm which supports strong user authentication. We tackle the trade-off problem between security, privacy and services in distributed social networks by providing the users the possibility to tune their privacy settings through a very flexible and fine-grained access control system. Moreover, our architecture is provided with a powerful suite of high-level services that greatly facilitates custom application development and mash up.