Eli Lucherini (he/him)
Ph.D. student @ Princeton University
I am a fourth-year Ph.D. candidate at the Center for Information Technology Policy at Princeton University. My advisor is Arvind Narayanan. I study the effects of technology on society, with a focus on privacy and fairness in recommender systems.
I’m the 2021-22 Hamid Biglari *87 Behavioral Science Fellow and a 2021 Twitch Research Fellow. I spent summer 2020 at Apple as a WebKit privacy intern and summer 2021 at IBM Research as a research intern.
Ethical recommender systems – I am building T-RECS, a simulation framework for better theoretical reasoning about recommender systems. T-RECS enables research on multi-stakeholder problems, such as the long-term impact of the actions and interactions of content creators and content consumers with a recommendation algorithm. I am focusing on polarization (e.g., do recommender systems incentivize the creation of increasingly extreme content?), stereotype reinforcement (e.g., are creators motivated to publish content that reinforces viewers’ stereotypes?), and unfair treatment of minorities (e.g., do recommender systems steer users away from creators belonging to a minority?).
Privacy and ethical computing – I contributed to studying Facebook Ads privacy, dark patterns, privacy policies, and browser disinformation warnings.
I received my bachelor’s degree from the University of Pisa and my master’s from the University of Pisa and Sant’Anna School of Advanced Studies.
|Aug 16, 2021||T-RECS, our simulation software to study the impact of recommender systems on society, is out! Read the pre-print and check out the code. Thanks to Matthew, Amy, and Arvind for helping with this 3-year-long project!|
|Aug 15, 2021||We published a new blog post about our work on the impact of recommender systems on society.|
|Aug 15, 2021||I’m happy to announce I have been named the 2021-22 Hamid Biglari *87 Behavioral Science Fellow for my research on the effects of behavioral science research when applied to technology!|
|Jan 7, 2021||I’m proud to announce I’ve been selected as a 2021 Twitch Research Fellow for my research on the implications of recommender systems!|
|Dec 9, 2020||Our poster about T-RECS was accepted to WiML ‘20! 🎉|
|Sep 1, 2020||Our paper “Adapting Security Warnings to Counter Online Disinformation” was accepted to USENIX Sec ‘21!|
|Aug 12, 2020||Our Facebook and Dark Patterns papers were cited by the ACM as examples of automated scraping as “an Invaluable Tool for Information Technology Professionals”. They misspelled my name, but I’ll take it anyway :D|
|Mar 7, 2020||Announcing the Princeton-Leuven Longitudinal Corpus of Privacy Policies. Apply here for access.|
|Dec 5, 2019||Our paper “Dark Patterns at Scale” won the 2019 Privacy Papers for Policymakers Award (link)!|