Verify news articles automatically, then review the receipts.
FactSentinel gives article claims a first-pass AI review with the exact claim, source support, caveats, confidence, reasoning, and model disagreement visible before a human makes the call.
Automated article checks should preserve the evidence trail.
The fastest way to review a story is not to ask a model for a final answer. It is to isolate the claims that matter, expose the source trail, and make uncertainty visible enough for a reviewer to inspect.
Exact claim
Review the specific sentence, number, quote, date, or attribution that changes what evidence is required.
Source support
Check whether sources support the wording of the claim, not just the general topic or a nearby assertion.
Uncertainty signals
Treat caveats, low confidence, thin sourcing, or model disagreement as a prompt for slower manual verification.
Prioritize the claims readers are likely to repeat.
Use automated triage for the claims that create the most editorial, research, or classroom risk if they move without context.
Article details
- Numbers, dates, and named figures
- Quotes and paraphrased attributions
- Policy, legal, medical, or scientific claims
Source claims
- Reports, studies, and official records
- Source names that may be misattributed
- Links that need exact-wording support
AI-assisted copy
- Draft summaries and rewrites
- Generated backgrounders
- Confident claims from research notes
Use automation to triage the article, not to skip verification.
FactSentinel is built to shorten the first pass: extract the claim, show source evidence, expose caveats, and compare model reads. A reviewer still decides what is publishable, what needs context, and what should be corrected.
Checking live pages in Chrome?
Use the Chrome guide when you want to verify selected text from the article page you are reading and keep the browser workflow intact.
Checking sources behind the article?
Use the source checker when the story depends on a cited report, agency release, dataset, public record, or source page.
Checking formal references?
Use the citation checker when an article, draft, or AI-assisted summary includes official-looking titles, journal names, reports, or policy documents.
Checking AI-generated drafts before they become articles?
Use the AI content review page when generated summaries, outlines, or research notes need claim-level review before they are shaped into a publishable article.
Common questions
Can news articles be verified automatically?
FactSentinel can automate a first-pass review of article claims, source support, confidence, caveats, reasoning, and model agreement. The final call still belongs to a human reviewer.
Should I verify a full article or individual claims?
Start with individual claims. Numbers, quotes, dates, named sources, policy references, medical context, legal context, and citations usually carry the heaviest evidence burden.
Does this replace editorial verification?
No. It is a triage layer. Use it to expose what needs source checking, correction, added context, or escalation.
Can I use it without the Chrome extension?
Yes. Use the web checker for pasted claims. Use the Chrome extension when you want to check selected text from a live page without changing workflows.
Verify the claim trail before the article travels.
Run a first-pass check when a news article needs speed, but the evidence still needs to stay visible for review.