English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Contribution to Collected Edition

Hidden Personal Insights and Entangled in the Algorithmic Model – The Limits of the GDPR in the Personalisation

MPS-Authors
/persons/resource/persons209072

Finck,  Michele
MPI for Innovation and Competition, Max Planck Society;

External Resource
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Finck, M. (2021). Hidden Personal Insights and Entangled in the Algorithmic Model – The Limits of the GDPR in the Personalisation. In U. Kohl, & J. Eisler (Eds.), Data-Driven Personalisation in Markets Politics and Law (pp. 95-107). Cambridge: Cambridge University Press.


Cite as: https://hdl.handle.net/21.11116/0000-0005-91C9-4
Abstract
There is no abstract available