Two Tales Privacy in Online Social Networks

Abstract

Privacy is one of the friction points that emerge when communications get mediated in Online Social Networks (OSNs). Different communities of computer science researchers have framed the ‘OSN privacy problem’ as one of surveillance, institutional or social privacy. Discuss the different privacy problems are entangled and that research on privacy in OSNs would benefit from a more holistic approach. In this paper provide an introduction to the surveillance and social privacy perspectives emphasizing the narratives that inform them, as well as their assumptions, goals and methods. Also we propose a ranking-based multi correlation tensor factorization model. Semantic space spanned by image tags can be approximated by a smaller subset of salient words from the original space. A novel method named ranking-based multi correlation tensor factorization (RMTF) to better leverage the observed tagging data for users’ annotation prediction.

Existing System

Privacy is one of the friction points that emerge when communications get mediated in Online Social Networks (OSNs). Different communities of computer science researchers have framed the ‘OSN privacy problem’ as one of surveillance, institutional or social privacy. In tackling these problems they have also treated them as if they were independent. OSN providers have access to all the user generated content and the power to decide who may have access to which information. This may lead to social privacy problems.

Proposed System

We distinguish three types of privacy problems that researchers in computer science tackle. The first approach addresses the “surveillance problem” that arises when the personal information and social interactions of OSN users are leveraged by governments and service providers. The second approach addresses those problems that emerge through the necessary renegotiation of boundaries as social interactions get mediated by OSN services, in short called “social privacy”. The third approach addresses problems related to users losing control and oversight over the collection and processing of their information in OSNs, also known as “institutional privacy”

Architecture