The determinants of social capital on facebook

This paper investigates the effect of socioeconomic status, trust and privacy concerns, and socio psychological factors on building three structural measures of social capital, which are bridging, bonding and network size (degree). Using online survey data, I find the evidence that trust and privacy concerns, being a female, and the number of hours spent in Facebook are significant determinants of bridging social capital and degree. I show that females and respondents that have trust and privacy concerns are less likely to build bridging social capital. In addition to this, the number of hours spent on Facebook is positively related to the probability of engaging in bridging social capital. The results also suggest that females are less likely to increase their network size. On the other hand, respondents that spend more hours on Facebook and respondents that come from high-income class are more likely to increase their network size.Social capital, Facebook, trust and privacy concern, socio-economic status, socio-psychological factors

Empirical Study of Privacy Issues Among Social Networking Sites.

Social media networks are increasing their types of services and the numbers of users are rapidly growing. However, online consumers have expressed concerns about their personal privacy protection and recent news articles have shown many privacy breaches and unannounced changes to privacy policies. These events could adversely affect data protection and compromise user trust, thus it is vital that social sites contain explicit privacy policies stating a comprehensive list of protection methods. This study analyzes 60 worldwide social sites and finds that even if sites contain a privacy policy, the site pages may also possess technical elements that could be used to serendipitously collect personal information. The results show specific technical collection methods most common within several social network categories. Methods for improving online privacy practices are suggested

An Exploratory Study of Bloggers\u27 Information Sharing Behavior: The Role of Online Privacy Concerns

Social networking websites have become very popular with Internet users as one of the latest forms of online communication tools. Blogs, recurrently updated web pages with a series of archived postings in social network websites have been discussed as a useful information sharing platform for knowledge management in a collaborative work environment. However, blogs generate growing concerns regarding information privacy issues. This study, based on social capital theory, presents exploratory results about bloggers’ information sharing behavior. The survey results indicate that trust which has four second order factors: economy based trust, trust in reciprocity, trust in other bloggers and trust in social interaction positively affects bloggers’ information sharing behavior. However, online information privacy concerns have a negative impact on the relationship between trust and bloggers’ information sharing behavior

Antecedents to Consumer Peer Communication through Social Advertising: A Self-Disclosure Theory Perspective

© 2018, © 2018 American Academy of Advertising. The use of peer communication has become a primary method used by advertisers to disseminate their messages to relevant consumers on social media—with a significant return on investment. This study examines whether consumers\u27 privacy, trust, and perceived benefits are associated with their peer communication through social advertising within the lens of self-disclosure theory. The results of a survey of 393 social network users in Indonesia demonstrate that trust is a key factor promoting peer communication through social advertising, mediating privacy concerns and perceived privacy control. Of the three types of peer-communication benefits examined, social benefits appear to be the most significant antecedent, ahead of economic benefits and entertainment benefits. These findings have theoretical and managerial implications

An Examination of the Impact of Gender and Culture on Facebook Privacy and Trust in Guam

Facebook, the world’s largest social network, allows users to develop a profile containing personal information. Users may choose privacy settings to control information access, but improper settings risk personal exposure. Several US studies examining gender differences in privacy management found that females have more privacy concerns. This study investigates gender differences in Facebook privacy settings among college students in Guam, a US territory whose ethnicity and culture differ from mainland US. Results show that neither gender trusts Facebook nor feels Facebook protects them. Significant differences in number and type of privacy settings indicate females are more security conscious. Gender differences exist in three of Hofstede’s five cultural factors, but only Masculinity-Femininity significantly influences perceptions of Facebook Privacy and Facebook Trust. There is also evidence of “privacy paradox” phenomenon. Summarizing for the case in Guam, the findings indicate that culture, in particular Masculinity-Femininity, influences the formation of perceptions regarding both trust in social media and the privacy protection provided by social media, while gender can influence the protective measures actually taken by individuals

Social-Aware Clustered Federated Learning with Customized Privacy Preservation

A key feature of federated learning (FL) is to preserve the data privacy of end users. However, there still exist potential privacy leakage in exchanging gradients under FL. As a result, recent research often explores the differential privacy (DP) approaches to add noises to the computing results to address privacy concerns with low overheads, which however degrade the model performance. In this paper, we strike the balance of data privacy and efficiency by utilizing the pervasive social connections between users. Specifically, we propose SCFL, a novel Social-aware Clustered Federated Learning scheme, where mutually trusted individuals can freely form a social cluster and aggregate their raw model updates (e.g., gradients) inside each cluster before uploading to the cloud for global aggregation. By mixing model updates in a social group, adversaries can only eavesdrop the social-layer combined results, but not the privacy of individuals. We unfold the design of SCFL in three steps. \emph{i) Stable social cluster formation. Considering users' heterogeneous training samples and data distributions, we formulate the optimal social cluster formation problem as a federation game and devise a fair revenue allocation mechanism to resist free-riders. ii) Differentiated trust-privacy mapping}. For the clusters with low mutual trust, we design a customizable privacy preservation mechanism to adaptively sanitize participants' model updates depending on social trust degrees. iii) Distributed convergence}. A distributed two-sided matching algorithm is devised to attain an optimized disjoint partition with Nash-stable convergence. Experiments on Facebook network and MNIST/CIFAR-10 datasets validate that our SCFL can effectively enhance learning utility, improve user payoff, and enforce customizable privacy protection

Towards location privacy awareness on geo-social networks

With the current trend of embedding location services within social networks, an ever growing amount of users' spatiotemporal tracks are being collected and used to generate user profiles. Issues of personal privacy and especially those stemming from tracking user location become more important to address. In this work, it is argued that support of location privacy awareness within social networks is needed to maintain the users' trust in their services. Current practices of pre-configuring location disclosure settings have been shown to be limited, where users' sense of location privacy dynamically change with context. In this paper, location privacy awareness is considered within a composite view of place, time and social data recorded in user profiles. The paper examines the possible threats to personal privacy from exposure of this data and the design of feedback tools to allow users to control their privacy. A user study is used to examine the impact of the feedback provided on users' perception of privacy and the link between their privacy concerns and their attitude towards using the geo-social network. Findings confirm the strong need for more transparent access to and control over user location profiles, and guide the proposal of recommendations to the design of more privacy-sensitive geo-social networks

Privacy Considerations when Designing Social Network Systems to Support Successful Ageing

A number of interventions exist to support older adults in ageing well and these typically involve support for an active and sociable ageing process. We set out to examine the privacy implications of an intervention that would monitor mobility and share lifestyle and health data with a community of trusted others. We took a privacy-by-design approach to the system in the early stages of its development, working with older adults to firstly understand their networks of trust and secondly understand their privacy concerns should information be exchanged across that network. We used a Johari Windows framework in the thematic analysis of our data, concluding that the social sharing of information in later life carried significant risk. Our participants worried about the social signaling associated with data sharing and were cautious about a system that had the potential to disrupt established networks