DocumentCode :
3447912
Title :
Measuring Surveillance in Online Advertising: A Big Data Approach
Author :
Herps, Aaron ; Watters, Paul A. ; Pineda-Villavicencio, Guillermo
Author_Institution :
Macquarie Univ., North Ryde, NSW, Australia
fYear :
2013
fDate :
21-22 Nov. 2013
Firstpage :
30
Lastpage :
35
Abstract :
There is an increasing public and policy awareness that tracking cookies are being used to support behavioral advertising, but the extent to which tracking is occurring is not clear. The extent of tracking could have implications for the enforceability of legislative responses to the sharing of personal data, including the Privacy Act 1988 (Cth). In this paper, we develop a methodology for determining the prevalence of tracking cookies, and report the results for a sample of the 50 most visited sites by Australians. We find that the use of tracking cookies is endemic, but that distinct clusters of tracking can be identified across categories including search, pornography and social networking. The implications of the work in relation to privacy are discussed.
Keywords :
Big Data; advertising data processing; data privacy; social networking (online); Australians; Privacy Act 1988; behavioral advertising; big data approach; online advertising; personal data sharing; policy awareness; pornography category; public awareness; search category; social networking; Advertising; Australia; Educational institutions; Facebook; Google; Media; Privacy; Behavioral Advertising.; Cookies; Privacy; Social Media; Tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cybercrime and Trustworthy Computing Workshop (CTC), 2013 Fourth
Conference_Location :
Sydney NSW
Print_ISBN :
978-1-4799-3075-3
Type :
conf
DOI :
10.1109/CTC.2013.12
Filename :
6754638
Link To Document :
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