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9780190905088

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No one else has conducted a substantive study on algorithmic personalization quite like this. The chapters provide the reader with a helpful, wide-ranging terrain from which to understand how partial subjectivity is enacted across varied fronts. This is an important primer for algorithmic studies as a whole. -- John Cheney-Lippold, University of Michigan Making it Personal eloquently brings into focus the murky world of personalization algorithms and data tracking in order to interrogate the complex ways users understand and negotiate these systems. It usefully moves us beyond discussions of privacy, surveillance, and authenticity to skillfully interrogate what it really means to be subject to these algorithmic logics. -- Kylie Jarrett, Maynooth University

Making it Personal eloquently brings into focus the murky world of personalization algorithms and data tracking in order to interrogate the complex ways users understand and negotiate these systems. It usefully moves us beyond discussions of privacy, surveillance, and authenticity to skillfully interrogate what it really means to be subject to these algorithmic logics. * Kylie Jarrett, Maynooth University * No one else has conducted a substantive study on algorithmic personalization quite like this. The chapters provide the reader with a helpful, wide-ranging terrain from which to understand how partial subjectivity is enacted across varied fronts. This is an important primer for algorithmic studies as a whole. * John Cheney-Lippold, University of Michigan *

No one else has conducted a substantive study on algorithmic personalization quite like this. The chapters provide the reader with a helpful, wide-ranging terrain from which to understand how partial subjectivity is enacted across varied fronts. This is an important primer for algorithmic studies as a whole. * John Cheney-Lippold, University of Michigan * Making it Personal eloquently brings into focus the murky world of personalization algorithms and data tracking in order to interrogate the complex ways users understand and negotiate these systems. It usefully moves us beyond discussions of privacy, surveillance, and authenticity to skillfully interrogate what it really means to be subject to these algorithmic logics. * Kylie Jarrett, Maynooth University *

Author Information

Tanya Kant is Lecturer in Media and Cultural Studies (Digital Media) at the University of Sussex, UK. She is Co-Managing Editor of the open access, multimedia publishing platform REFRAME.

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