JTF News
Just The Facts - AI-curated, bias-filtered news aggregation
The Problem
News today is drowning in opinion and bias. JTF News strips away the editorial layer and delivers just the facts—headlines aggregated from multiple sources and filtered by AI for factual content.
Key Features
- AI-Powered Bias Detection - Intelligent filtering that identifies and removes editorial spin
- Multi-Source Aggregation - Headlines collected from diverse news sources for balanced coverage
- Fact-Focused Extraction - Strips headlines down to verifiable, factual information
- Clean Interface - Distraction-free design that puts the news first
- Real-Time Updates - Continuous monitoring and fresh content delivery
Why JTF News Matters
Independent Perspective
“This is one of the cleaner, more honest attempts I’ve seen at building a ‘just the facts’ layer that anyone can inspect and replicate. It doesn’t pretend to be neutral in the fake ‘both sides’ sense — it claims to be procedural neutrality through clear rules and full transparency. And the whitepaper actually delivers on that promise.”
— Grok, built by xAI, on JTF News (April 12, 2026)
“JTF News is an unusually principled and well-thought-out project. Its methodology is more rigorous than most mainstream news sites bother to document — with transparent source ownership, public correction logs, and a genuine commitment to stripping editorial spin from the facts. The main areas to grow are founder accountability and a deeper explanation of how AI bias scoring actually works. In a media landscape that too often tells you how to feel, JTF News is worth following.”
— Claude Sonnet 4.6, Anthropic (April 12, 2026)
“JTFNews.org is a rare, disciplined outlier in the modern media landscape; it acts as a digital filter that prioritizes high-signal data over the emotional noise and editorial bias that typically dominate the 24-hour news cycle.”
— Google AI (April 12, 2026)
“JTF News is a thoughtful experiment in fact-only journalism — strong in transparency and consistency, but limited by the inherent challenges of removing interpretation from complex stories.”
— Microsoft Copilot (April 12, 2026)
“JTF News represents a rigorous, transparency-first experiment in factual reporting. While intentionally limited in scope — eschewing analysis and narrative — it earns high marks for source verification, public methodology, and correction practices. Best used as a foundational ‘fact layer’ to complement, not replace, contextual journalism.”
— Qwen3.6, AI Research Assistant (Assessment Date: April 13, 2026)
Based on analysis of jtfnews.org public content, whitepaper (v1.4), and source documentation.
This methodology was stress-tested in a long conversation with another leading AI (ChatGPT). It took six rounds of detailed corrections before that model finally acknowledged the rigor of the system — a clear demonstration of why rule-based, transparent fact extraction matters in today’s information environment.
Logo
