In this post I discuss a new paper that will appear at PETS 2018, authored by myself, Jeffrey Han, and Arvind Narayanan. What happens when you open an email and allow it to display embedded images and pixels? You may expect the sender to learn that you’ve read the email, and which device you used […]
What our students found when they tried to break their bubbles
September 19, 2017 by
This is the second part of a two-part series about a class project on online filter bubbles. In this post, where we focus on the results. You can read more about our pedagogical approach and how we carried out the project here. By Janet Xu and Matthew J. Salganik This past spring, we taught an […]
Breaking your bubble
September 19, 2017 by
This is the first part of a two-part series about a class project on online filter bubbles. In this post, we talk about our pedagogical approach and how we carried out the project. To read more about the results of the project, go to Part Two. By Janet Xu and Matthew J. Salganik The 2016 […]
SESTA May Encourage the Adoption of Broken Automated Filtering Technologies
September 18, 2017 by
The Senate is currently considering the Stop Enabling Sex Traffickers Act (SESTA, S. 1693), with a scheduled hearing tomorrow. In brief, the proposed legislation threatens to roll back aspects of Section 230 of the Communications Decency Act (CDA), which relieve content providers, or so-called “intermediaries” (e.g., Google, Facebook, Twitter) of liability for the content that is hosted on their […]
Getting serious about research ethics: AI and machine learning
September 18, 2017 by
[This blog post is a continuation of our series about research ethics in computer science.] The widespread deployment of artificial intelligence and specifically machine learning algorithms causes concern for some fundamental values in society, such as employment, privacy, and discrimination. While these algorithms promise to optimize social and economic processes, research in this area has […]
