Big Data and Privacy: Emerging Issues

Author

O´Leary, Daniel E.

Author_Institution

Univ. of Southern California, Los Angeles, CA, USA

Volume

30

Issue

6

fYear

2015

Firstpage

92

Lastpage

96

Abstract

The goals of big data and privacy are fundamentally opposed to each other. Big data and knowledge discovery are aimed reducing information asymmetries between organizations and the data sources, whereas privacy is aimed at maintaining information asymmetries of data sources. A number of different definitions of privacy are used to investigate some of the tensions between different characteristics of big data and potential privacy concerns. Specifically, the author examines the consequences of unevenness in big data, digital data going from local controlled settings to uncontrolled global settings, privacy effects of reputation monitoring systems, and inferring knowledge from social media. In addition, the author briefly analyzes two other emerging sources of big data: police cameras and stingray for location information.

Keywords

Big Data; data mining; data privacy; inference mechanisms; big data; information asymmetry reduction; knowledge discovery; knowledge inference; police cameras; privacy concerns; reputation monitoring systems; Big data; Blogs; Data privacy; Knowledge discovery; Monitoring; Organizations; Privacy; Twitter; Twitter; big data; global data; intelligent systems; local data; privacy; reputation; uneven data; variety; velocity; veracity; volume;

fLanguage

English

Journal_Title

Intelligent Systems, IEEE

Publisher

ieee

ISSN

1541-1672

Type

jour

DOI

10.1109/MIS.2015.110

Filename

7320921