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.

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

25. Ownership, licences, policies...

26. Ownership, licences, policies...
... and so who sets the policies for reuse, redistribution and sharing?

27. xkcd.com/1539
Conclusion

28. Thank you
mdaquin.net
@mdaquin
slideshare.net/mdaquin
mksmart.org/data/