By Arunesh Mathur, Arvind Narayanan and Marshini Chetty In a recent paper, we analyzed affiliate marketing on YouTube and Pinterest. We found that on both platforms, only about 10% of all content with affiliate links is disclosed to users as required by the FTC’s endorsement guidelines. One way to improve the situation is for affiliate […]
Refining the Concept of a Nutritional Label for Data and Models
May 3, 2018 by
By Julia Stoyanovich (Assistant Professor of Computer Science at Drexel University) and Bill Howe (Associate Professor in the Information School at the University of Washington) In August 2016, Julia Stoyanovich and Ellen P. Goodman spoke in this forum about the importance of bringing interpretability to the algorithmic transparency debate. They focused on algorithmic rankers, discussed the harms […]
Ethics Education in Data Science: Classroom Topics and Assignments
April 26, 2018 by
[This blog post is a continuation of a recap of a recent workshop on data science ethics education.] The creation of ethics modules that can be inserted into a variety of classes may help ensure that ethics as a subject is not marginalized and enable professors with little experience in philosophy or with fewer resources […]
Announcing IoT Inspector: Studying Smart Home IoT Device Behavior
April 23, 2018 by
By Noah Apthorpe, Danny Y. Huang, Gunes Acar, Frank Li, Arvind Narayanan, Nick Feamster An increasing number of home devices, from thermostats to light bulbs to garage door openers, are now Internet-connected. This “Internet of Things” (IoT) promises reduced energy consumption, more effective health management, and living spaces that react adaptively to users’ lifestyles. Unfortunately, […]
No boundaries for Facebook data: third-party trackers abuse Facebook Login
April 18, 2018 by
by Steven Englehardt [0], Gunes Acar, and Arvind Narayanan So far in the No boundaries series, we’ve uncovered how web trackers exfiltrate identifying information from web pages, browser password managers, and form inputs. Today we report yet another type of surreptitious data collection by third-party scripts that we discovered: the exfiltration of personal identifiers from […]
