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 level. Drawing on the Communica...

Privacy in travel refers to the way people manage their personal travel information and their willingness to share this information with others. Travel privacy concerns affect the amount and type of information people are willing to share within social networks, before or after their trip. Our study focuses on privacy and sharing concerns regarding business travel in an enterprise setting. We b...

The recent breakthroughs in Artificial Intelligence (AI) have allowed individuals to rely on automated systems for a variety of reasons. Some of these systems are the currently popular voice-enabled systems like Echo by Amazon and Home by Google that are also called as Intelligent Personal Assistants (IPAs). Though there are raising concerns about privacy and ethical implications, users of thes...

User location data collected on Geo-Social Networking applications (GeoSNs) can be used to enhance the services provided by such applications. However, personal location information can potentially be utilised for undesirable purposes that can compromise users’ privacy. This paper presents a study of privacy implications of location-based information provision and collection on user awareness a...

Personalization of on-line content by on-line businesses can improve a user’s experience and increase a business’s chance of making a sale, but with stricter privacy legislation and Internet users’ increasing concerns about privacy, businesses need to ensure they do not violate laws or frighten away potential customers. This paper describes the design of the proposed Identity Management Archite...

Personalized services can cause privacy concerns, due to the acquisition, storage and application of sensitive personal information. This paper describes empirical research into the factors influencing the trade-off between the perceived benefits of personalization and the privacy ‘costs’ experienced by individuals. The experiment in question concerns a music recommender system accessed over th...

The advances in technology have enabled us to share information, process data transactions, and enhance collaborations with relevant entities effectively. Its unparalleled adoption in both the public and private sectors is raising heightened concerns, particularly in the areas of the collection and management of personal information. The use of personal information can provide great benefits, i...

Privacy concerns and practices, especially those dealing with the acquisition and use of consumer personal information, are at the forefront of global business and social issues associated with the information age. Our research examined the privacy policies of the Fortune 500 to assess the substance and content of their stated information practices and the degree to which they adhered to the fa...

In collaborative filtering approaches, recommendations are inferred from user data. A large volume and a high data quality is essential for an accurate and precise recommender system. As consequence, companies are collecting large amounts of personal user data. Such data is often highly sensitive and ignoring users’ privacy concerns is no option. Companies address these concerns with several ri...

Privacy has been frequently identified as a main concern for system developers while dealing with/managing personal information. Despite this, most existing work on privacy requirements deals with them as a special case of security requirements. Therefore, key aspects of privacy are, usually, overlooked. In this context, wrong design decisions might be made due to insufficient understanding of ...