The 20 Academic Papers On Privacy & Data Protection That Have Most Influenced My Ph.D. Research
So far, I've read 717 academic papers for my Ph.D. in fairness & data protection law at Tel Aviv University. In today's newsletter, I will share the list of the 20 papers that have most influenced my research - and they are all free.
These are the 20 academic papers that have most influenced my Ph.D. research so far. The list below is not in order of preference.
1- Taking Trust Seriously in Privacy Law by Neil Richards & Woodrow Hartzog:
2- What Privacy Is For by Julie Cohen:
3- Dismantling the “Black Opticon”: Privacy, Race Equity, and Online Data-Protection Reform by Anita L. Allen:
4- Privacy, Security and Data Protection in Smart Cities: a Critical EU Law Perspective by Lilian Edwards:
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6- Big Other: Surveillance Capitalism and the Prospects of an Information Civilization by Shoshana Zuboff:
7- Against Notice Skepticism in Privacy (and Elsewhere) by Ryan Calo:
8- Privacy Mindset, Technological Mindset by Michael Birnhack, Eran Toch & Irit Hadar:
9- Big Data for All: Privacy and User Control in the Age of Analytics by Omer Tene & Jules Polonetsky:
10- The Tradeoff Fallacy: How Marketers are Misrepresenting American Consumers and Opening Them Up to Exploitation by Joseph Turow, Michael Hennessy & Nora Draper:
11- 'I’ve Got Nothing to Hide' and Other Misunderstandings of Privacy by Daniel Solove:
12- Bringing Design to the Privacy Table by Richmond Wong & Deirdre K. Mulligan:
14- A Contextual Approach to Privacy Online by Hellen Nissenbaum:
15- Six Provocations for Big Data by Danah Boyd & Kate Crawford:
16- Engineering Privacy by Sarah Spiekermann & Lorrie Faith Cranor:
17- Privacy Harms by Danielle Citron & Daniel Solove:
18- The Subjects and Stages of AI Dataset Development: A Framework for Dataset Accountability by Mehtab Khan & Alex Hanna:
19- The Ethics of Facial Recognition Technology by Evan Selinger & Brenda Leong:
20- Against Predictive Optimization: On the Legitimacy of Decision-Making Algorithms that Optimize Predictive Accuracy by Angelina Wang, Sayash Kapoor, Solon Barocas & Arvind Narayanan:
Have you read some of these articles? What other privacy & data protection articles would you recommend? Privacy needs critical thinkers like you: share this article and start a conversation about the topic. For the list of most relevant books, see my Twitter thread & LinkedIn post on the topic.
See you next week. All the best, Luiza Jarovsky