Voluntary sharing and mandatory provision: Private information disclosure on social networking sites

This paper explores the use of social networking sites amongst the student population of a Welsh university, with particular respect to information-sharing and privacy behaviours, and the potential impact of social networking site checks by employers on future use of these sites. A mixed-methods research design incorporating both quantitative and qualitative approaches was employed to investigate the research question. Results demonstrated that participants were concerned with maintaining privacy online, and were careful with regards to posting and protecting information on social networking sites; however, protective measures were imperfect due to human and system errors. Most respondents were aware of social networking site surveillance, with many noting that this would have an impact on their future use; however, users are active in protecting their privacy through a combination of use of privacy settings and varied levels of information disclosure dependent on context.

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Information disclosure on social networking sites: An intrinsic–extrinsic motivation perspective

Computers in Human Behavior ◽

10.1016/j.chb.2014.10.059 ◽

2015 ◽

Vol 44 ◽

pp. 103-117 ◽

Cited By ~ 35

Author(s):

Joshana Shibchurn ◽

Xiangbin Yan

Keyword(s):

Social Networking ◽

Social Networking Sites ◽

Information Disclosure ◽

Extrinsic Motivation

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Information Disclosure on Social Networking Sites

Censorship, Surveillance, and Privacy ◽

10.4018/978-1-5225-7113-1.ch006 ◽

2019 ◽

pp. 91-110 ◽

Cited By ~ 1

Author(s):

Clare Doherty ◽

Michael Lang ◽

James Deane ◽

Regina Connor

Keyword(s):

Social Networking ◽

Social Networking Sites ◽

Perceived Risk ◽

Information Disclosure ◽

Strong Support ◽

Legal Protection ◽

Social Networking Site ◽

Risk Propensity ◽

Proposed Model ◽

The Social

This chapter explores how six constructs—control, trust, perceived risk, risk propensity, perceived legal protection, and privacy disposition—affect information disclosure on the Social Networking Site (SNS) Facebook. Building upon previous related work, an extended causal model of disclosure behaviour is proposed. The hypothesised relationships in this model were tested using survey data collected from 278 social networking site users in Ireland. The results of the analysis provide strong support for the proposed model.

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Decentralized Private Information Sharing Protocol on Social Networks

Security and Communication Networks ◽

10.1155/2020/7137480 ◽

2020 ◽

Vol 2020 ◽

pp. 1-12

Author(s):

Shu-Chuan Chu ◽

Lili Chen ◽

Sachin Kumar ◽

Saru Kumari ◽

Joel J. P. C. Rodrigues ◽

...

Keyword(s):

Social Networks ◽

Social Networking ◽

Information Sharing ◽

Mass Distribution ◽

Private Information ◽

Social Networking Sites ◽

Control Protocol ◽

Shared Information ◽

Community Finding ◽

Target Community

Social networks are becoming popular, with people sharing information with their friends on social networking sites. On many of these sites, shared information can be read by all of the friends; however, not all information is suitable for mass distribution and access. Although people can form communities on some sites, this feature is not yet available on all sites. Additionally, it is inconvenient to set receivers for a message when the target community is large. One characteristic of social networks is that people who know each other tend to form densely connected clusters, and connections between clusters are relatively rare. Based on this feature, community-finding algorithms have been proposed to detect communities on social networks. However, it is difficult to apply community-finding algorithms to distributed social networks. In this paper, we propose a distributed privacy control protocol for distributed social networks. By selecting only a small portion of people from a community, our protocol can transmit information to the target community.

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Measuring individuals’ concerns over collective privacy on social networking sites

Cyberpsychology Journal of Psychosocial Research on Cyberspace ◽

10.5817/cp2016-1-4 ◽

2016 ◽

Vol 10 (1) ◽

Cited By ~ 9

Author(s):

Haiyan Jia ◽

Heng Xu

Keyword(s):

Social Networking ◽

Private Information ◽

Social Networking Sites ◽

Structural Model ◽

Personal Information ◽

Information Access ◽

Three Dimensions ◽

Online Information ◽

Privacy Concerns ◽

Starting Point

With the rise of social networking sites (SNSs), individuals not only disclose personal information but also share private information concerning others online. While shared information is co-constructed by self and others, personal and collective privacy boundaries become blurred. Thus there is an increasing concern over information privacy beyond the individual perspective. However, limited research has empirically examined if individuals are concerned about privacy loss not only of their own but their social ties’; nor is there an established instrument for measuring the collective aspect of individuals’ privacy concerns. In order to address this gap in existing literature, we propose a conceptual framework of individuals’ collective privacy concerns in the context of SNSs. Drawing on the Communication Privacy Management (CPM) theory (Petronio, 2002), we suggest three dimensions of collective privacy concerns, namely, collective information access, control and diffusion. This is followed by the development and empirical validation of a preliminary scale of SNS collective privacy concerns (SNSCPC). Structural model analyses confirm the three-dimensional conceptualization of SNSCPC and reveal antecedents of SNS users’ concerns over violations of the collective privacy boundaries. This paper serves as a starting point for theorizing privacy as a collective notion and for understanding online information disclosure as a result of social interaction and group influence.

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Social Networking

Advances in Social Networking and Online Communities - Implications of Social Media Use in Personal and Professional Settings ◽

10.4018/978-1-4666-7401-1.ch006 ◽

2015 ◽

pp. 118-130

Author(s):

Vladlena Benson

Keyword(s):

Social Media ◽

Social Networking ◽

Social Networking Sites ◽

Information Disclosure ◽

Personal Information ◽

Social Technology ◽

Research Directions ◽

Social Networking Services ◽

Social Settings ◽

The Social

As the social technology matured in recent years, so did the threat landscape of the online medium. Fears about breaches of privacy and personal information security seem to dominate the list of concerns of social media users described in literature. Popular press continually reports cases of inadvertent and malicious information disclosure and breaches, cyberbullying, and stalking. Yet, social networking sites proliferated into all areas of human activity. The factor causing this phenomenon lies in the trusted nature of networks and the sense of trustworthiness of this easy-to-use technology. The formation of trust into social technology has attracted much attention, and this chapter offers an overview of the trust predictors in social settings. It continues with a retrospective into the threat landscape and the use of personalisation by social networking services to counter some of these threats. Further research directions are discussed.

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