Privacy, dataveillance, and crime prevention

Palmer, Darren, Warren, Ian and Miller, Peter 2014, Privacy, dataveillance, and crime prevention. In Alhajj, R. and Rokne, J. (ed), Encyclopedia of social network analysis and mining, Springer, New York, N.Y., pp.1353-1362.

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Title Privacy, dataveillance, and crime prevention
Author(s) Palmer, DarrenORCID iD for Palmer, Darren orcid.org/0000-0001-6675-1155
Warren, IanORCID iD for Warren, Ian orcid.org/0000-0001-8355-118X
Miller, PeterORCID iD for Miller, Peter orcid.org/0000-0002-6896-5437
Title of book Encyclopedia of social network analysis and mining
Editor(s) Alhajj, R.
Rokne, J.
Publication date 2014
Start page 1353
End page 1362
Total pages 10
Publisher Springer
Place of Publication New York, N.Y.
Keyword(s) Crime
Crime Prevention
Dataveillance
Information Sharing
Prevention
Privacy
Policing
Safety
Surveillance
Summary Whether privacy is an adequate legal safeguard against intrusive government or private sector activity remains open for further exploration. The criminal law has always imposed limits on the ability of police to enter private premises and seize property associated with criminal activity, while preserving the rights of “mass private” property owners and their agents to selectively exclude people from entering or remaining on their premises. The appropriate balance between these issues and “the right to be let alone” is often determined by judicial rulings in individual cases. However, the balance between a claimant’s personal rights to be free from undue surveillance and the broader public interest in preventing crime or promoting safety is not always clear. New forms of personal data collection and dissemination through ICTs reconfigure the balance between private and public knowledge (Australian Law Reform Commission 2008), while social network analysis is increasingly deployed by law enforcement agencies to detect and prevent crime. Our ongoing research interrogates how the concept of privacy can be reconciled with the growing use of dataveillance, data mining, and social network analysis to prevent crime and antisocial behavior.
ISBN 9781461461692
Language eng
Field of Research 160204 Criminological Theories
160201 Causes and Prevention of Crime
Socio Economic Objective 940402 Crime Prevention
HERDC Research category D2.1 Reference work
ERA Research output type X Not reportable
Grant ID Criminology Research Council Grant 42/08-09
Copyright notice ©2014, Springer Science+Business Media New York
Persistent URL http://hdl.handle.net/10536/DRO/DU:30070596

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