Abstract
After having shifted from Web 1.0 to Web 2.0, scientists welcome the advent of Web 3.0, an environment where meaning is added to data. While in the Semantic Web people are no longer users, but part of the emerging applications, producers, subjects and beneficiaries of the Big Data, however, opaque processing of personal data poses tremendous risks and dangers for individuals. Given the new era of Big Data this paper studies firms’ purposes and practices to detect some emerging privacy risks. Moreover, theories that deal with social networks are examined to conclude that, even if people state that they value their privacy, however, they often disclose a huge volume of personal information. Taking into account that today’s European concept of privacy is conceptualized in negative terms this paper also proposes the implementation of trust and loyalty into the privacy concept through flexible fiduciary laws. Furthermore, data portability is discussed to detect its potential as a strategic feature, a key tool that will enhance trust. Finally, further scenarios and proposals are submitted, in our attempt to answer the question whether the European concept of privacy could be re-shaped for the benefit of individuals.
Highlights
In 1983, Time magazine nominated the Personal Computer as ―the machine of the year‖ to announce the entry of the Informational Age into our homes[1]
Theories that deal with social networks are examined to conclude that, even if people state that they value their privacy, they often disclose a huge volume of personal information
Taking into account that today‘s European concept of privacy is conceptualized in negative terms this paper proposes the implementation of trust and loyalty into the privacy concept through flexible fiduciary laws
Summary
In 1983, Time magazine nominated the Personal Computer as ―the machine of the year‖ to announce the entry of the Informational Age into our homes[1]. Web 3.0 is based on two concepts: semantic tagging of resources, so that information can be understood by humans and computers, and the development of intelligent agents[6] that are capable of operating with those resources and inferring new knowledge from them[7]. Krasnova H., Spiekermann S., Koroleva K., & Hildebrand T., Online social networks: why we disclose, Journal of Information Technology, 25(2), 2010 109-125, DOI:10.1057/JIT.2010.6. For their effects on academic achievement, see Robert M. 19 See Danah Boyd, Friends, Friendsters, and MySpace Top 8: Writing Community Into Being on Social Network Sites, December 4, 2006, First Monday, Volume 11, Number 12, available at http://firstmonday.org/article/view/1418/1336. Further proposals are submitted to support that the European concept of privacy could, be re-shaped for the benefit of individuals
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
