Understanding personal privacy in the age of big online data
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The document discusses the challenges of privacy in the age of big online data. It reviews experts' definitions of privacy as control over personal information. Regulations like the EU Data Protection Directive establish principles of transparency, legitimate purpose, and consent in data collection and processing. The concept of "social translucence" is introduced as making information flows and activities visible. Technological challenges in ensuring privacy include data fragmentation, user identification across systems, and limitations of data analysis at large scales. Semantic web technologies and reasoning approaches show promise in addressing some challenges through interoperability, collection proxies, and modeling access policies.
Understanding personal privacy in the age of big online data
- 1. Understanding personal privacy in the age of big online data Mathieu d'Aquin @mdaquin - slideshare.net/mdaquin Keerthi Thomas Knowledge Media Institute, The Open University
- 2. Privacy?
- 3. Privacy? ...
- 4. Privacy?
- 5. Privacy?
- 6. What the experts say? Understanding Privacy by Daniel Solove starts with a long and detailed review of the many definitions of privacy that could be found in various types of literature (research, regulation, policies, etc.)
- 7. What the experts say? Privacy is not simply an absence of information about us in the minds of others, rather it is the control we have over information about ourselves -- Charles Fried - 1968
- 8. What the experts say? Privacy is not simply an absence of information about us in the minds of others, rather it is the controlwe have over information about ourselves -- Charles Fried - 1968
- 9. : The right to "private and family life, his home and his correspondence" What regulation says? EU Directive 95/46/EC (Data Protection) Transparency: Right to be informed of data collection and processing. Processing should apply with consent, and only for legitimate purposes. Amounts: Personal data should be collected and processed only in proportions adequate to the explicite purpose. Transfer: Personal data can only be transfered to countries outside the EU if these countries possess adequate levels of protection
- 10. : The right to "private and family life, his home and his correspondence" What regulation says? EU Directive 95/46/EC (Data Protection) Transparency: Right to be informedof data collection and processing. Processing should apply with consent, and only for legitimate purposes. Amounts: Personal data should be collected and processed only in proportions adequate to the explicite purpose. Transfer: Personal data can only be transfered to countries outside the EU if these countries possess adequate levels of protection
- 11. Informed Consent, Control, Explicite Purpose... Visibility, Awareness and Accountability The three principles of social transluscence
- 12. Social Transluscence A “socially translucent system” is a system that “support coherent behaviour by making participants and their activities visible to one another” -- Erickson and Kellogg, 2000.
- 13. Social Transluscence A “socially translucent system” is a system that “support coherent behaviour by making participants and their activities visible to one another” -- Erickson and Kellogg, 2000.
- 18. Some technical options and examples... (Technological) Challenges: Fragmentation and heterogeneity of location, format, ownership, access, systems holding data User identification across various, connected or not, systems Data analysis and scale which large organisation barely cope with, and are out of reach of web users d'Aquin, Thomas @ PrivOn ISWC workshop 2013, Semantic Web Technologies for Social Translucence and Privacy Mirrors on the Web
- 19. Fragmentation and heterogeneity: Interoperability and data integration in the system d'Aquin, Elahi, Motta @ SDoW ISWC workshop 2011, Semantic Technologies to Support the User-Centric Analysis of Activity Data
- 20. Fragmentation and heterogeneity: Interoperability and data integration in the system d'Aquin, Thomas, KMi-TR 2012, Consumer Activity Data:Usages and Challenges
- 21. User identification: Collection at the source Through a personal, logging proxy... d'Aquin, Elahi, Motta, @ Web Science 2010, Personal Monitoring of Web Information Exchange: Towards Web Lifelogging
- 22. User identification: Collection at the source Through Web browser history.... moluti.com
- 23. Imagine Bruce wayne on facebook posting pictures of his hollidays with Poison Ivy... Data Analysis and Scale: Needs advanced reasoning...
- 24. Data Analysis and Scale: Needs advanced reasoning... Using epistemic reasoning to know what others might know... d'Aquin, Thomas, ISWC demo 2013, Modeling and Reasoning Upon Facebook Privacy Settings
- 26. Ownership, licences, policies... ... and so who sets the policies for reuse, redistribution and sharing?