Policy resolution of shared data in online social networks

Online social networks have practically a go-to source for information divulging, social exchanges and finding new friends. The popularity of such sites is so profound that they are widely used by people belonging to different age groups and various regions. Widespread use of such sites has given rise to privacy and security issues. This paper proposes a set of rules to be incorporated to safeguard the privacy policies of related users while sharing information and other forms of media online. The proposed access control network takes into account the content sensitivity and confidence level of the accessor to resolve the conflicting privacy policies of the co-owners

Sharenting: Internet addiction, self-control and online photos of underage children // Sharenting: Internet addiction, self-control and online photos of underage children

Sharenting is becoming a regular practice that compromises children’s safety and privacy. This phenomenon is related to the act of sharing images of underage children on the Internet by their relatives. At the same time, a concern arises about the levels of Internet addiction in the population. In turn, levels of Internet addiction are a current problem in modern societies that has been linked to low self-control. This paper aims to analyse the degree to which images are published and the reasons why the adult segment of the population practices sharenting, to determine the socio-demographic factors that have an impact on sharenting, Internet addiction and self-control, and to establish the correlations between these three variables. A total of 367 Spanish adults aged between 18 and 61 (M=28.98; SD=10.47) completed an online survey. Both the multiple regression analysis and the structural equation modelling revealed that: 1) Age emerges as a predictor of Internet addiction; 2) Age, gender and employment status are predictors of low self-control; 3) No socio-demographic factors were found to be predictors of sharenting; 4) The only significant correlation was observed between Internet addiction and self-control. Finally, practical implications of this paper on the protection of minors and adults’ need for information on Internet security are discussed

Privacy Intelligence: A Survey on Image Sharing on Online Social Networks

Image sharing on online social networks (OSNs) has become an indispensable part of daily social activities, but it has also led to an increased risk of privacy invasion. The recent image leaks from popular OSN services and the abuse of personal photos using advanced algorithms (e.g. DeepFake) have prompted the public to rethink individual privacy needs when sharing images on OSNs. However, OSN image sharing itself is relatively complicated, and systems currently in place to manage privacy in practice are labor-intensive yet fail to provide personalized, accurate and flexible privacy protection. As a result, an more intelligent environment for privacy-friendly OSN image sharing is in demand. To fill the gap, we contribute a systematic survey of 'privacy intelligence' solutions that target modern privacy issues related to OSN image sharing. Specifically, we present a high-level analysis framework based on the entire lifecycle of OSN image sharing to address the various privacy issues and solutions facing this interdisciplinary field. The framework is divided into three main stages: local management, online management and social experience. At each stage, we identify typical sharing-related user behaviors, the privacy issues generated by those behaviors, and review representative intelligent solutions. The resulting analysis describes an intelligent privacy-enhancing chain for closed-loop privacy management. We also discuss the challenges and future directions existing at each stage, as well as in publicly available datasets.Comment: 32 pages, 9 figures. Under revie