2.9k citations · 5k across the 24 of their papers we have counts for
27 papers
Security policy audits: why and how
Arvind Narayanan, Kevin Lee
Information security isn't just about software and hardware -- it's at least as much about policies and processes. But the research community overwhelmingly focuses on the former o…
Leakage and the Reproducibility Crisis in ML-based Science
Sayash Kapoor, Arvind Narayanan
The use of machine learning (ML) methods for prediction and forecasting has become widespread across the quantitative sciences. However, there are many known methodological pitfall…
How Algorithms Shape the Distribution of Political Advertising: Case Studies of Facebook, Google, and TikTok
Orestis Papakyriakopoulos, Christelle Tessono, Arvind Narayanan +1
Online platforms play an increasingly important role in shaping democracy by influencing the distribution of political information to the electorate. In recent years, political cam…
The Impact of User Location on Cookie Notices (Inside and Outside of the European Union)
Rob van Eijk, Hadi Asghari, Philipp Winter +1
The web is global, but privacy laws differ by country. Which set of privacy rules do websites follow? We empirically study this question by detecting and analyzing cookie notices i…
Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers
Kenny Peng, Arunesh Mathur, Arvind Narayanan
Machine learning datasets have elicited concerns about privacy, bias, and unethical applications, leading to the retraction of prominent datasets such as DukeMTMC, MS-Celeb-1M, and…
Simulation as Experiment: An Empirical Critique of Simulation Research on Recommender Systems
Amy A. Winecoff, Matthew Sun, Eli Lucherini +1
Simulation can enable the study of recommender system (RS) evolution while circumventing many of the issues of empirical longitudinal studies; simulations are comparatively easier…