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Full-Text Articles in Law
Responding To Deficiencies In The Architecture Of Privacy: Co-Regulation As The Path Forward For Data Protection On Social Networking Sites, Laurent Cre ́Peau
Responding To Deficiencies In The Architecture Of Privacy: Co-Regulation As The Path Forward For Data Protection On Social Networking Sites, Laurent Cre ́Peau
Canadian Journal of Law and Technology
Social Networking Sites like Facebook, Twitter and the like are a ubiquitous part of contemporary culture. Yet, as exemplified on numerous occasions, most recently in the Cambridge Analytica scandal that shook Facebook in 2018, these sites pose major concerns for personal data protection. Whereas self-regulation has characterized the general regulatory mindset since the early days of the Internet, it is no longer viable given the threat social media poses to user privacy. This article notes the deficiencies of self-regulatory models of privacy and contends jurisdictions like Canada should ensure they have strong data protection regulations to adequately protect the public. …
Trimming The Fat: The Gdpr As A Model For Cleaning Up Our Data Usage, Kassandra Polanco
Trimming The Fat: The Gdpr As A Model For Cleaning Up Our Data Usage, Kassandra Polanco
Touro Law Review
No abstract provided.
Pii In Context: Video Privacy And A Factor-Based Test For Assessing Personal Information, Daniel L. Macioce Jr.
Pii In Context: Video Privacy And A Factor-Based Test For Assessing Personal Information, Daniel L. Macioce Jr.
Pepperdine Law Review
As a central concept in American information privacy law, personally identifiable information (PII) plays a critical role in determining whether a privacy violation has occurred. Under the Video Privacy Protection Act of 1988 (VPPA), PII “includes information which identifies a person as having requested or obtained specific video materials or services.” Despite the clarity that these words may have when the Statute was enacted, the line separating PII from non-PII in the context of streaming video is not easily drawn, in part due to the prevalence of behavior tracking technologies and the emergence of “big data” analytics. The First Circuit, …
Reshaping Ability Grouping Through Big Data, Yoni H. Carmel, Tammy H. Ben-Shahar
Reshaping Ability Grouping Through Big Data, Yoni H. Carmel, Tammy H. Ben-Shahar
Vanderbilt Journal of Entertainment & Technology Law
This Article examines whether incorporating data mining technologies in education can promote equality. Following many other spheres in life, big data technologies that include creating, collecting, and analyzing vast amounts of data about individuals are increasingly being used in schools. This process has already elicited widespread interest among scholars, parents, and the public at large. However, this attention has largely focused on aspects of student privacy and data protection and has overlooked the profound effects data mining may have on educational equality. This Article analyzes the effects of data mining on education equality by focusing on one educational practice--ability grouping--that …
Small Data Surveillance V. Big Data Cybersurveillance, Margaret Hu
Small Data Surveillance V. Big Data Cybersurveillance, Margaret Hu
Pepperdine Law Review
This Article highlights some of the critical distinctions between small data surveillance and big data cybersurveillance as methods of intelligence gathering. Specifically, in the intelligence context, it appears that “collect-it-all” tools in a big data world can now potentially facilitate the construction, by the intelligence community, of other individuals' digital avatars. The digital avatar can be understood as a virtual representation of our digital selves and may serve as a potential proxy for an actual person. This construction may be enabled through processes such as the data fusion of biometric and biographic data, or the digital data fusion of the …
Who Is Reading Whom Now: Privacy In Education From Books To Moocs, Jules Polonetsky, Omer Tene
Who Is Reading Whom Now: Privacy In Education From Books To Moocs, Jules Polonetsky, Omer Tene
Vanderbilt Journal of Entertainment & Technology Law
This Article is the most comprehensive study to date of the policy issues and privacy concerns arising from the surge of ed tech innovation. It surveys the burgeoning market of ed tech solutions, which range from free Android and iPhone apps to comprehensive learning management systems and digitized curricula delivered via the Internet. It discusses the deployment of big data analytics by education institutions to enhance student performance, evaluate teachers, improve education techniques, customize programs, and better leverage scarce resources to optimize education results.
This Article seeks to untangle ed tech privacy concerns from the broader policy debates surrounding standardization, …
Big Data Distortions: Exploring The Limits Of The Aba Leatpr Standards, Andrew G. Ferguson
Big Data Distortions: Exploring The Limits Of The Aba Leatpr Standards, Andrew G. Ferguson
Oklahoma Law Review
Before moving on to my contribution about how the growing reliance on big data analytics may necessitate a slight modification to the ABA Standards on Law Enforcement Access to Third Party Records (LEATPR Standards), I would like first to pay a few compliments to the drafters of the LEATPR Standards for producing such a systematic, thoughtful, and elegant framework for considering Fourth Amendment freedoms. As anyone who writes about or teaches the Fourth Amendment knows, the doctrine remains a theoretical muddle. Yet, despite a minefield of conflicting precedent, the drafters of the LEATPR Standards have managed to construct a defensible …