Niche vs Mainstream

Data Skeptic by Kyle Polich

Feb 18, 202634:10Religion & Spirituality

Anas Buhayh discusses multi-stakeholder fairness in recommender systems and the S'mores framework—a simulation allowing users to choose between mainstream and niche algorithms. His research shows specialized recommenders...

Related Episodes

Continue listening to more episodes from Data Skeptic.

Implicit Interactions

Oct 5, 2026 - 44:34

How do we design robots and autonomous vehicles that understand the unwritten rules of human behavior? Ky...

The Lived Informatics Model

Sep 25, 2026 - 34:13

The data we collect about ourselves can tell us a lot—but only if the technology collecting it actually f...

Recommender Systems Today and Tomorrow

Sep 9, 2026 - 22:46

In the final episode of our Recommender Systems season, we explore the growing questions of trust, manipu...

Recommender Systems Optimization Goals

Sep 1, 2026 - 31:15

In part two of the Data Skeptic Recommender Systems season finale, Kyle asks a deceptively difficult ques...

Recommender Systems Origin Story

Aug 18, 2026 - 25:32

Where did recommender systems come from, and how do we know when they're actually working? In part one of...

Social Choice for Fair Recommendations

Jul 27, 2026 - 42:56

Recommender systems influence nearly every aspect of our digital lives—but what does it mean for those sy...

News Recommendations

Jul 2, 2026 - 46:06

News recommendation algorithms influence far more than what stories we click—they can shape our understan...

Give Users the Wheel

Jun 23, 2026 - 35:28

What if you could simply tell a recommendation system what you want instead of relying on likes, dislikes...