About this episode

Kyle Polich discusses the impact of news recommendation algorithms with Andreea Iana, focusing on responsible AI and the balance between personalization and diversity.

News recommendation algorithms influence far more than what stories we click—they can shape our understanding of the world. In this episode, Kyle Polich speaks with Andreea Iana about responsible AI, filter bubbles, multilingual news recommendation, and her open-source NewsRecLib framework for evaluating recommender systems. They explore why bigger models aren't always better and how future recommendation systems can balance personalization with diversity and societal impact.

People in this episode

Host: Kyle Polich

Guest: Andreea Iana

Topics covered

• news recommendation
• responsible AI
• filter bubbles
• multilingual news
• recommender systems
• personalization
• societal impact

Mentioned in this episode

Organizations: NewsRecLib

More episodes of Data Skeptic

• Give Users the Wheel · June 23, 2026 · 35 min
• AutoLike · June 17, 2026 · 35 min

Explore listener stats, chart rankings, contacts and more on the Data Skeptic podcast page.