EPISODE · Jul 2, 2026 · 46 MIN
News Recommendations
from Data Skeptic
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.
Embed this episode
Ready to play
News Recommendations
0:00
46:06
1×
No transcript for this episode yet
Similar Episodes
No similar episodes found.
Similar Podcasts
AI Daily News Podcast
Really Easy AI
AI Daily News: Your premier source for cutting-edge artificial intelligence updates! Dive into the world of machine learning, deep learning, and data science with our daily tech briefings. From neural networks to natural language processing, we cover groundbreaking AI research, innovative applications, and industry trends. Explore the latest in computer vision, robotics, autonomous systems, and the Internet of Things. Stay informed on AI ethics, machine learning algorithms, and the transformative impact of AI on business, healthcare, and society. https://www.youtube.com/@AINewsFresh
Gytis Tech Podcast
Inretio
Data professional and tech enthusiast from Lithuania, covering tech topics including open source software, smart home automation, web development, automotive diagnostics and more.
Frequently Asked Questions
How long is this episode of Data Skeptic?
This episode is 46 minutes long.
When was this Data Skeptic episode published?
This episode was published on July 2, 2026.
Can I download this Data Skeptic episode?
Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!