Program

Session 1 (14:00 – 15:30, GMT)

Beyond Our Behavior: The GDPR and Humanistic Personalized Recommendation
- Travis Greene and Galit Shmueli
- article
#TulsaFlop: A Case Study of Algorithmically-Influenced Collective Action on TikTok
- Jack Bandy and Nicholas Diakopoulos
- article
Investigating the impact of personalization on misinformation present in algorithmically curated content in YouTube
- Prerna Juneja and Tanushree Mitra
- article, code

Do Nudges Matter? Consumer Perception and Acceptance of Recommender Systems with Different Types of Nudges
- Irina Dolgopolova, Bingqing Li, and Jutta Roosen
- article
Respect for Human Autonomy in Recommender Systems
- Lav R. Varshney
- article

A General Framework for Fairness in Multistakeholder Recommendations
- Harshal Chaudhari, Sangdi Lin, and Ondrej Linda
- article
“And the Winner Is…”: Dynamic Lotteries for Multi-group Fairness-Aware Recommendation
- Nasim Sonboli, Robin Burke, Nicholas Mattei, Farzad Eskandanian, and Tian Gao
- article
Why should I not follow you? Reasons For and Reasons Against in Responsible Recommender Systems
- Gustavo Polleti, Douglas Luan de Souza, and Fabio Cozman
- article
On the Identification of Fair Auditors to Evaluate Recommender Systems based on a Novel Non-Comparative Fairness Notion
- Mukund Telukunta and Venkata Sriram Siddhardh Nadendla
- article
Comparing Fair Ranking Metrics
- Amifa Raj, Connor Wood, Ananda Montoly, and Michael Ekstrand
- article

HyperFair: A Soft Approach to Integrating Fairness Criteria
- Charles Dickens, Rishika Singh, and Lise Getoor
- article
Building Healthy Recommendation Sequences for Everyone: A Safe Reinforcement Learning Approach
- Ashudeep Singh, Yoni Halpern, Nithum Thain, Konstantina Christakopoulou, Ed H. Chi, Jilin Chen, and Alex Beutel
- article
Fairness-Aware Online Personalization
- G Roshan Lal, Sahin Geyik and Krishnaram Kenthapadi
- article, code