

Sara Beykpour: The Next Chapter in News Aggregation
Aug 14, 2025
Sara Beykpour, co-founder and CEO of Particle News, brings a wealth of experience from her decade at Twitter. She dives into how Particle utilizes a 'Reality Check' process to craft accurate AI-generated news summaries while maintaining reader trust. The conversation highlights the innovative bias meter that reflects the political leanings of stories and the importance of personalized news feeds that avoid filter bubbles. Beykpour also discusses the crucial role of transparency and collaboration with publishers in shaping the future of trustworthy journalism.
AI Snips
Chapters
Transcript
Episode notes
Multi-Source Summaries As A News Map
- Particle summarizes multi-source reporting to give quick, multi-perspective news overviews grounded in reporting.
- The product personalizes by topic and acts as a map to go deeper into sources and quotes.
Reality Check To Reduce Hallucinations
- Particle runs a "reality check" pass that verifies every claim in a generated summary against source articles.
- That extra LLM step and quote extraction lowers hallucination risk and preserves nuance.
Bias Meter Shows Framing, Not AI Opinion
- Particle flags how a story is being covered across the political spectrum using human-labeled source leanings.
- The bias meter surfaces framing because summaries reflect the bias of their source material.