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Vagle – Has Katz Become Quaint.docx
[…] political, professional, religious, and sexual associations. The Government can store such records and efficiently mine them for information years into the future. And because GPS monitoring is cheap in comparison to convent ional surveillance techniques and, by design, proceeds surreptitiously, it evades the ordinary checks that constrain abus ive law enforcement practices: ‘ limited […]
SOCIAL – Lerman – Big Data and Its Exclusions
[…] for email, social m e- dia, and searc hing; shopping with a credit, debit, or “customer lo yalty” card; banking or applying for credit; tra veling by plane; receiving medical treatment at a technologically advanced hospital; and receiving electricity through a “smart meter .” 3 II. Big data, for all its technological complexity, springs […]
LEGAL – Wu – Big Data Threats
[…] 7 See Neil M. Richards, Intellectual Privacy , 87 TEX . L. REV . 387 (2008). 8 See Jennifer Valentino -DeVries et al., Websites Var y Prices, Deals Based on Users’ Information , WALL ST. J., at A1, Dec. 24, 2012. 9 See Ryan Calo, Digital Market Manipulation (draft). product being sold, the advertiser […]
FRAMEWORK – Dwork & Mulligan – It's Not Privacy It's Not Fair
[…] narrowly focused on private lives, consumption, and infotainment . Equal ly importantly, they reflect the hopes and aspirations we ascribe to algorithms , despite our cynicism and reservations, ” we want them to be neutral, we want them to be reliable, we want them to be the effective ways in which we come to […]
Hirsch_In Search of the Holy Grail Global Privacy Rules
[…] from, and/or share data with , each of these individuals or entities . I nternational data transfers and economic globalization build on and reinforce one another. Fast, cheap and reliable international data transfers support the growth of global business. Increased economic globalization, in turn, widens t he demand for , and investment in , […]
Tene & Polonetsky – Privacy and Big Data Making Ends Meet
[…] -Management and the Consent Dilemma , 126 HARV . L. REV . 1880 (2013). 5 Jennifer Valentino -Devries, Jeremy Singer -Vine & Ashkan Soltani, Websites Vary Prices, Deals Based on Users’ Information, WSJ, December 24, 2012, http://online.wsj.com/article_email/SB10001424127887323777204578189391813881534 – lMyQjAxMTAyMDIwNDEyNDQyWj.html#12 . See discussion in Omer Tene & Jules Polonetsky , Judged by the Tin Man: […]
Dwork Mulligan – It's Not Privacy It's Not Fair
[…] narrowly focused on private lives, consumption, and infotainment . Equal ly importantly, they reflect the hopes and aspirations we ascribe to algorithms , despite our cynicism and reservations, ” we want them to be neutral, we want them to be reliable, we want them to be the effective ways in which we come to […]
Lerman – Big Data and Its Exclusions
[…] for email, social m e- dia, and searc hing; shopping with a credit, debit, or “customer lo yalty” card; banking or applying for credit; tra veling by plane; receiving medical treatment at a technologically advanced hospital; and receiving electricity through a “smart meter .” 3 II. Big data, for all its technological complexity, springs […]
Thierer_The Pursuit of Privacy in a World Where Information Control Is Failing
[…] use geolocation technologies to pinpoint the movement of themselves and others in real time. 88 Meanwhile, new digital translation tools and biometric tech‐ nologies are becoming widely available to consumers. Tools such as Google Goggles, available for many smartphones, let users snap pictures of anything they see and have it identified by Google’s search engine, with the results provided almost instantly to the user. 89 Eventually, these technologies will merge with “wearable computing” technologies that will, for example, let the buttons on our shirts feed live streams of our daily movements and interactions into social networking sites and databases. 90 Peo‐ 85. Id. 86. J ONATHAN ZITTRAIN , THE FUTURE OF THE INTERNET —A ND HOW TO STOP IT 221 (2008) (” Cheap sensors generatively wired to cheap networks with cheap pro‐ cessors are transforming the nature of privacy.”). 87. J OHN PALFREY & URS GASSER , BORN DIGITAL : UNDERSTANDING THE FIRST GENERATION OF DIGITAL NATIVES 62 (2008) (“Young people are turning to mobile devices in droves. They use them to post more information about themselves and their friends into the ether.”); Jennifer Valentino‐DeVries, The Economics of Surveil‐ lance, W ALL ST. J. D IGITS BLOG (Sept. 28, 2012, 10:30 PM), http://blogs.wsj.com/digits/2012/09/28/the‐economics‐of=surveillance/?mod=WSJBlog (quoting Col. Lisa Shay, a professor of electrical engineering at the U.S. Military Academy at West Point, who notes that “nowadays cellphones are sensors,” and […]
Thierer_A Framework for Benefit Cost Analysis in Digital Privacy Debates
[…] Consu mer Privacy Surveys Don’t Tell Us (June 2001) (unpublished manuscript), available at http://papers.ssrn.com/sol3/papers. cfm?abstract_id=299930 (“[P]rivacy surveys in particular . . . suffer from the ‘talk is cheap’ problem. It costs a consumer nothing to express a desire for federal law to protect privacy. But if such law became a 2013 ] BENEFIT -COST […]