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Article
Data analytics and consumer profiling: Finding appropriate privacy principles for discovered data
Computer Law & Security Review
  • Nancy King, Oregon State University
  • Jay Forder, Bond University
Date of this Version
1-1-2016
Document Type
Journal Article
Publication Details

Citation only

King, N. J., & Forder, J. (2016). Data analytics and consumer profiling: Finding appropriate privacy principles for discovered data. Computer Law and Security Review, doi:10.1016/j.clsr.2016.05.002

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© 2016 Nancy J. King & Jay Forder. Published by Elsevier Ltd. All rights reserved.

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Abstract
In Big Data, the application of sophisticated data analytics to very large datasets makes it possible to infer or derive (“to discover”) additional personal information about consumers that would otherwise not be known from examining the underlying data. The discovery and use of this type of personal information for consumer profiling raises significant information privacy concerns, challenging privacy regulators around the globe. This article finds appropriate privacy principles to protect consumers’ privacy in this context. It draws insights from a comparative law study of information privacy laws in the United States and Australia. It examines draft consumer privacy legislation from the United States to reveal its strengths and weaknesses in terms of addressing the significant privacy concerns that relate to Big Data’s discovery of personal data and subsequent profiling by businesses.
Citation Information
Nancy King and Jay Forder. "Data analytics and consumer profiling: Finding appropriate privacy principles for discovered data" Computer Law & Security Review (2016) p. 1 - 19 ISSN: 0267-3649, 2212-473X
Available at: http://works.bepress.com/jay_forder/35/