As the popularity of social networks expands, the information users expose to the public has potentially dangerous implications for individual privacy. While social networks allow users to restrict access to their personal data, there is currently no mechanism to enforce privacy concerns over content uploaded by other users. As group photos and stories are shared by friends and family, personal...

Big data allows widespread use and exchange of user data, this will lead to the possibility privacy breaches. Governments corporations incorporate personal from different sources learn a great deal about people in turn, raise concerns privacy. This paper provide conceptual understanding on antecedents towards online self-disclosure activities, which are knowledge perceived risks big data. In pa...

Ecommerce web sites are increasingly introducing personalized features in order to build and retain relationships with customers and increase the number of purchases made by each customer. While survey data, (Personalization Consortium, 2000; Personalization Consortium, 2001), user studies (Karat, et al, 2003), and experience (Manber, 2000) indicate that many individuals appreciate personalizat...

OBJECTIVE Increasing patient demand for convenient access to their own healthcare data has led to more personal use of the Electronic Health Record (EHR). With "consumer empowerment" being an important issue of EHR, we are seeing a more "patient-centric" approach of EHR from countries around the world. Researchers have reported on issues in EHR sharing including concerns on privacy and security...

Numerous studies have demonstrated the effectiveness of personalization using quality criteria both from machine learning / data mining and from user studies. However, a site requires more than a high-performance personalization algorithm: it needs to convince its users to input the data needed by the algorithm. Today’s Web users are becoming increasingly privacyconscious and less willing to di...

Individuals have to disclose personal information in order to utilize the manifold options of the Internet. Online users frequently trade data for benefits (privacy calculus). Trust in both the Internet and the vendor has been identified as an important antecedent to disclosing personal information online. The authors introduce the perceived risk of disclosing specific data types as an addition...

This paper explores how digitization and the associated use of customer data have affected the evolution of consumer privacy concerns. We measure privacy concerns by reluctance to disclose income in an online marketing research survey. Using over three million responses over eight years, our data show: (1) Refusals to reveal information have risen over time, (2) Older people are less likely to ...

The rapid adoption of machine learning has increased concerns about the privacy implications of machine learning models trained on sensitive data, such as medical records or other personal information. To address those concerns, one promising approach is Private Aggregation of Teacher Ensembles, or PATE, which transfers to a “student” model the knowledge of an ensemble of “teacher” models, with...

The right to privacy is not absolute and is often established by context and the need to know. The nature of the university environment sometimes distorts the sanctity of privacy because the "need to know" is so profuse. Although students are guaranteed the right to keep essential but confidential information private under the Family Educational Rights and Privacy Act of 1974, student data are ...