Session 1 (14:00 – 15:30, GMT)

Opening (10 min)

Long Papers (15 + 5 min per presentation)

  • HyperFair: A Soft Approach to Integrating Fairness Criteria
    • Charles Dickens, Rishika Singh, and Lise Getoor
    • 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

Short Papers (9 min per presentation)

  • 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

Discussion & Break (15:30 – 16:30, GMT)

Session 2 (16:30 – 18:00, GMT)

Keynote (45 min)

Short Papers (9 min per presentation)

  • 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

Discussion & Break (18:00 – 19:00, GMT)

Session 3 (19:00 – 20:30, GMT)

Long Papers (15 + 5 min per presentation)

  • Beyond Our Behavior: The GDPR and Humanistic Personalized Recommendation
    • Travis Greene and Galit Shmueli
    • 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

Discussion & Closing (30 min)