Big data privacy: The datafication of personal information

Research output: Contribution to journalJournal articlepeer-review

In the age of big data we need to think differently about privacy. We need to shift our thinking from definitions of privacy (characteristics of privacy) to models of privacy (how privacy works). Moreover, in addition to the existing models of privacy—the surveillance model and capture model—we need to also consider a new model: the datafication model presented in this article, wherein new personal information is deduced by employing predictive analytics on already-gathered data. These three models of privacy supplement each other; they are not competing understandings of privacy. This broadened approach will take our thinking beyond current preoccupation with whether or not individuals’ consent was secured for data collection to privacy issues arising from the development of new information on individuals' likely behavior through analysis of already collected data—this new information can violate privacy but does not call for consent.
Original languageEnglish
JournalThe Information Society
Volume32
Issue number3
Pages (from-to)192-199
Number of pages8
ISSN0197-2243
DOIs
Publication statusPublished - 13 Apr 2016

ID: 160530286