NDLI: Big Data vs. Big Brother: The fine line of personalization and privacy

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Big Data vs. Big Brother: The fine line of personalization and privacy

Content Provider	Semantic Scholar
Author	Inthavong, Wanda Schibrowsky, John
Copyright Year	2014
Abstract	Purpose – To review privacy issues surrounding Big Data and creating recommendations to aid in resolving these issues. Approach Reviews current literature regarding Big Data and its implication on privacy. Findings – Regulation changes/additions not as beneficial as some researchers believe. Creating & streamlining one universal regulation to better protects consumer privacy information may gain back consumer confidence. INTRO/PURPOSE OF THIS STUDY Consumer privacy issues to public due to negative publicity: (Cannon 2002, Kroft 2014) • Corporation Big Data usage questionable • Data broker methods; collect, house, distribute Emergence of Internet increased collection with issues resulting from: • Lack of secure data storage result = data breaches • Use/share of data for marketing purposes • 9/11 USA PATRIOT ACT & FISA amendment • IRS tax profiling uproar • Expanded use and distribution of consumer data by database marketers Examples: (Duhigg 2012, Reuters 2014) • Target and Pregnant Teen • Google Lawsuit – co-mingling of data
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://digitalscholarship.unlv.edu/cgi/viewcontent.cgi?article=1061&context=mcnair_posters
Alternate Webpage(s)	https://digitalscholarship.unlv.edu/cgi/viewcontent.cgi?article=1061&context=mcnair_posters
Alternate Webpage(s)	https://digitalscholarship.unlv.edu/cgi/viewcontent.cgi?article=1061&context=mcnair_posters&httpsredir=1&referer=
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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