Personal Data Gentrification
Juan Luis Herrera, Javier Berrocal, Jose Garcia-Alonso, Juan Manuel, Murillo, Hsiao-Yuan Chen, Christine Julien, Niko M\"akitalo, Tommi Mikkonen

TL;DR
This paper discusses the shift of personal data ownership from individuals to service providers, highlighting the risks of data gentrification and proposing a middle-ground approach called Personal Data Enfranchisement to empower individuals.
Contribution
It introduces the concept of Personal Data Enfranchisement as a novel framework to empower individuals to control their data sharing and proposes a model and roadmap for its implementation.
Findings
Current privacy tech limits individual control over data.
Uncontrolled data sharing leads to data gentrification and societal loss.
Proposed model aims for gradual transition towards data enfranchisement.
Abstract
We live in an era in which the most valued services are not paid for in money, but in personal data. Every day, service providers collect the personal information of billions of individuals, information that sustain their infrastructure by marketing profiles labeled with this information to personal data consumers, such as advertisers. Not all uses of this personal data are for marketing; data consumers can also include, for instance, public health authorities tracking pandemics. In either case, individuals have undergone a process of Personal Data Gentrification, as data ownership has shifted from individuals to service providers and data consumers, as if the data is worth nothing to the individuals; these new owners then harness the data to obtain large profits. Current privacy-enhancing technologies are beginning to allow individuals to control and share less information. However,…
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Taxonomy
TopicsPrivacy-Preserving Technologies in Data · Privacy, Security, and Data Protection · Recommender Systems and Techniques
