Big data privacy: The datafication of personal information
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Big data privacy: The datafication of personal information. / Mai, Jens-Erik.
In: The Information Society, Vol. 32, No. 3, 13.04.2016, p. 192-199.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Big data privacy: The datafication of personal information
AU - Mai, Jens-Erik
PY - 2016/4/13
Y1 - 2016/4/13
N2 - 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.
AB - 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.
KW - Faculty of Humanities
KW - Big data
KW - Datafication
KW - Personal information
KW - Privacy
UR - http://jenserikmai.info/Papers/2016_BigDataPrivacy.pdf
U2 - 10.1080/01972243.2016.1153010
DO - 10.1080/01972243.2016.1153010
M3 - Journal article
VL - 32
SP - 192
EP - 199
JO - Information Society
JF - Information Society
SN - 0197-2243
IS - 3
ER -
ID: 160530286