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Empirical Legal Studies

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Articles 1 - 3 of 3

Full-Text Articles in Law

Understanding Chilling Effects, Jonathon Penney Jan 2022

Understanding Chilling Effects, Jonathon Penney

Articles, Book Chapters, & Popular Press

With digital surveillance and censorship on the rise, the amount of data available online unprecedented, and corporate and governmental actors increasingly employing emerging technologies like artificial intelligence (AI), machine learning, and facial recognition technology (FRT) for surveillance and data analytics, concerns about “chilling effects”, that is, the capacity for these activities “chill” or deter people from exercising their rights and freedoms have taken on greater urgency and importance. Yet, there remains a clear dearth in systematic theoretical and empirical work point. This has left significant gaps in understanding. This article has attempted to fill that void, synthesizing theoretical and empirical …


Privacy And Legal Automation: The Dmca As A Case Study, Jonathon Penney Jan 2019

Privacy And Legal Automation: The Dmca As A Case Study, Jonathon Penney

Articles, Book Chapters, & Popular Press

Advances in artificial intelligence, machine learning, computing capacity, and big data analytics are creating exciting new possibilities for legal automation. At the same time, these changes pose serious risks for civil liberties and other societal interests. Yet, existing scholarship is narrow, leaving uncertainty on a range of issues, including a glaring lack of systematic empirical work as to how legal automation may impact people’s privacy and freedom. This article addresses this gap with an original empirical analysis of the Digital Millennium Copyright Act (DMCA), which today sits at the forefront of algorithmic law due to its automated enforcement of copyright …


Chilling Effects: Online Surveillance And Wikipedia Use, Jonathon Penney Jan 2016

Chilling Effects: Online Surveillance And Wikipedia Use, Jonathon Penney

Articles, Book Chapters, & Popular Press

This article discusses the results of the first empirical study providing evidence of regulatory “chilling effects” of Wikipedia users associated with online government surveillance. The study explores how traffic to Wikipedia articles on topics that raise privacy concerns for Wikipedia users decreased after the widespread publicity about NSA/PRISM surveillance revelations in June 2013. Using an interdisciplinary research design, the study tests the hypothesis, based on chilling effects theory, that traffic to privacy-sensitive Wikipedia articles reduced after the mass surveillance revelations. The Article finds not only a statistically significant immediate decline in traffic for these Wikipedia articles after June 2013, but …