Check anything you read.
Instant AI fact-checking with evidence you can inspect, and a community of journalists, researchers, and readers verifying claims together. Paste it in. See where it came from.
Free to use. No account needed for your first analysis.
Fact-checking has always been too slow.
A false claim reaches millions in hours. A traditional fact-check arrives days later, if it arrives at all — and only for the handful of stories big enough to investigate.
BiasBreak works the other way. AI analyzes any content the moment you submit it. A growing community of experts and readers strengthens the record over time. Speed from machines. Judgment from people. Evidence from both.
How it works
From paste to proof in four steps.
1
Submit content
Paste text, a URL, or upload a document — direct input and web content both work.
2
AI analysis
The engine traces provenance, checks claims, and scores sourcing, accuracy, and framing in real time.
3
Read the evidence
A credibility score with an honest ± interval, a claim ledger, and every judgment linked to its evidence.
4
The community weighs in
COMMUNITYJournalists, researchers, and readers can review, dispute, and add evidence to any analysis. Scores are living documents — when better evidence arrives, the record improves.
Live analyses
Most analyzed · today
"Offshore wind farms are responsible for the East Coast whale deaths"
Analyzed 412 times in 24 hours across 6 languages. The claim traces to a single 2023 blog post; the three federal studies it cites conclude the opposite.
23
±9
Fresh reports
Heat-pump mandate "will triple heating bills"
Ultra-processed food linked to cognitive decline
Mayor's downtown crime statistics, verified against court records
"Measles cases tripled since 2024" — CDC data holds up
Most disputed this week
- EV battery fires vs. gas vehicles 48 ±14
- Screen time & teen anxiety meta-study 51 ±12
- "Insect protein in school lunches" rumor 9 ±4
Every score is computed from four dimensions, each traceable to specific evidence. Intervals widen when evidence is thin.
Open Community library →
Specialized tools
Fake News Detector
Is this story fabricated, mistaken, or real?
Bias Detector
Political and emotional leaning in any text.
Media Bias Checker
How an outlet leans across its coverage.
Clickbait Checker
Does the headline match what the article delivers?
Propaganda Detector
Persuasion techniques and loaded framing, named.
Every analysis includes
A score you can argue with.
72
±6
Trust Score
One credibility number, 0–100, with an honest confidence interval — computed from sourcing, factual accuracy, framing, and provenance. Never a black box.
Bias detection
Subtle political and emotional leanings, one-sided sourcing, and systematic omissions — each finding tied to the sentence that triggered it.
Tone analysis
Objective or provocative? Headline-body mismatch, emotional undercurrents, and clickbait pressure, measured rather than guessed.
Provenance trail
Where did this claim first appear, and how did it travel? See the original source, not just the latest repost.
The scoring system behind every analysis is peer-reviewed and publicly documented, so you never have to take our word for it.
Read the research →
The community
AI is fast. People are wise. BiasBreak is both.
Automated analysis catches what spreads. Human expertise catches what machines miss. The BiasBreak Community is where journalists, fact-checkers, researchers, experts, organizations, and everyday readers investigate claims together.
Publish investigations
Journalists and fact-checkers publish evidence-based analyses with a byline that builds a public track record.
Contribute evidence
Experts and researchers add sources, context, and corrections to open claims. Every contribution is logged.
Earn standing
Consistent, well-sourced work earns editor and auditor status: real editorial standing on a platform built for it.
Discuss what's contested
Disputed claims get structured discussion, not comment-section chaos. Disagreement with evidence is how records improve.
The long-term goal is simple: an open, collaborative ecosystem for information integrity, where verification work is visible, credited, and built to last.
Who it's for
Built for anyone who needs to know what's true.
Journalists & newsrooms
Verify claims before publication and trace viral stories to their origin in minutes, not days.
Students & educators
Media literacy taught with real examples, live scores, and evidence students can inspect themselves.
Researchers & universities
Study how misinformation spreads with reproducible scores and an open claim library.
NGOs, businesses & institutions
Verify public statements, monitor narratives, and respond to false claims with evidence in hand.
Everyday readers
No expertise required. Paste what you saw, read the evidence, decide for yourself.
Stories & case studies
All stories →
Who uses BiasBreak
"In legal research, verifying claims is essential. BiasBreak reduces manual effort and highlights red flags instantly."
Isabella Foster
Legal research assistant
"It sifts through tons of sources daily. Quick, intuitive — and the bias flagging often sparks deeper discussions on air."
William Thompson
Current-affairs podcast host
"I've introduced BiasBreak into my curriculum. Students love the real-world examples it provides."
Malik Evans
Media educator
Independent by design.
BiasBreak began as one person's university research project and grew into a peer-reviewed news verification system, self-funded and independently built. No media group behind it. No political funding. Just a methodology anyone can read and a record anyone can check.
Our story →Questions
Honest answers about an AI fact-checker
Is BiasBreak 100% accurate?
No — and no fact-checker is. That's why every score carries a confidence interval and links to its evidence, so you can check our work. Our methodology is peer-reviewed and public.
What can I analyze?
News articles, URLs, social posts, quotes, press releases, and pasted text.
Do I need an account?
No. Anyone can run an analysis. An account lets you save reports, follow claims, and join the Community.
How do I contribute?
Join the Community, submit your first analysis or counter-source, and an editor reviews it. Strong, well-sourced contributions earn auditor status over time.
How is my data handled?
Submitted content is used only to produce your analysis. See the privacy policy for retention details.
Can I report an inaccurate analysis?
Yes — every report has a feedback link, and disputed scores are re-reviewed against new evidence. Scores are living documents; corrections are logged.
Is BiasBreak affiliated with any media company or political group?
No. BiasBreak is independently built and self-funded, with a published, peer-reviewed methodology so its independence can be verified, not just claimed.
The next thing you read deserves a second look.
Verify online information in seconds. Join a community making the internet harder to lie to.