# News Recommendations

Page: https://stenobird.com/podcast/data-skeptic/news-recommendations
Text version: https://stenobird.com/podcast/data-skeptic/news-recommendations.md
Podcast: [Data Skeptic](https://stenobird.com/podcast/data-skeptic)
Published: 2026-07-02T15:00:00+00:00
Episode link: https://dataskeptic.com/blog/episodes/2026/news-recommendations
Audio file: https://pscrb.fm/rss/p/mgln.ai/e/35/traffic.libsyn.com/secure/dataskeptic/Andreea_No_Ads_V1.mp3?dest-id=201630
Processing state: not_requested
JSON: https://stenobird.com/v1/public/podcasts/data-skeptic/episodes/news-recommendations
Duration seconds: 2766

## Resource

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.

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## Transcript

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