Towards a Collective Awareness Platform for Privacy Concerns and Expectations
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In an increasingly instrumented and inter-connected digital world, citizens generate vast amounts of data, much of it being valuable and a significant part of it being personal. However, controlling who can collect it, limiting what they can do with it, and determining how best to protect it, remain deeply undecided issues. This paper proposes CAPrice, a socio-technical solution based on collective awareness and informed consent, whereby data collection and use by digital products are driven by the expectations and needs of the consumers themselves, through a collaborative participatory process and the configuration of collective privacy norms. The proposed solution relies on a new innovation model that complements existing top-down approaches to data protection, which mainly rely on technical or legal provisions. Ultimately, the CAPrice ecosystem will strengthen the trust bond between service developers and users, encouraging innovation and empowering the individuals to promote their privacy expectations as a quantifiable, community-generated request.
KeywordsCollective Awareness Platforms Collaborative platforms Collaborative design Privacy Digital social innovation Crowdsourcing Terms of Service Privacy expectations
The authors thank the following individuals for contributions in earlier versions of this work: G. Baroutas, A. Dimitriadis, K. Doerr, G. Ioannidis, Y. Marketakis, N. Minadakis, G.M. Moen, F. Myrstad, A.K. Ravna, Y. Rousakis, M. Titorencu. The work of N. Nikolov and D. Roman was partly funded by the H2020 projects euBusinessGraph (#732003), EW-Shopp (#732590), and TheyBuyForYou (#780247).
- 1.Arniani, M., et al.: Collective Awareness Platform for Sustainability and Social Innovation: An Introduction, Brussels, EC, CAPS (2014)Google Scholar
- 2.Bagnoli, F., Guazzini, A., Pacini, G., Stavrakakis, I., Kokolaki, E., Theodorakopoulos, G.: Cognitive structure of collective awareness platforms. In: IEEE 8th International Conference on Self-Adaptive and Self-Organizing Systems Workshops (2014)Google Scholar
- 3.Carrascosa, J.M., Mikians, J., Cuevas, R., Erramilli, V., Laoutaris, N.: I always feel like somebody’s watching me: measuring online behavioural advertising. In: 11th International Conference on Emerging Networking Experiments and Technologies (2015)Google Scholar
- 7.Olurin, M., Adams, C., Logrippo, L.: Platform for privacy preferences (P3P): current status and future directions. In: 10th Conference on Privacy, Security and Trust (2012)Google Scholar
- 9.Pitt, J., Diaconescu, A.: Interactive self-governance and value-sensitive design for self-organising socio-technical systems. In: 1st International Workshop on Foundations and Applications of Self* Systems (2016)Google Scholar
- 10.Patkos, T., et al.: Privacy-by-norms privacy expectations in online interactions. In: 9th International Conference on Self-Adaptive and Self-Organizing Systems (2015)Google Scholar
- 11.Roman, D., Gatti, S.: Towards a reference architecture for trusted data marketplaces: the credit scoring perspective. In: 2nd International Conference on Open and Big Data (2016)Google Scholar