Review misinformation claims before they become citations.
Use FactSentinel as a first-pass review layer for claims, source trails, article summaries, social captions, and AI-generated text. Keep evidence, confidence, model agreement, and caveats visible before a claim is shared, published, taught, or cited.
Misinformation review starts with the exact claim.
The fastest way to lose the source trail is to check a vague topic instead of the precise assertion people may repeat. FactSentinel helps reviewers isolate the claim, compare model reasoning, inspect source support, and decide what still needs human follow-up.
Claims with consequences
Prioritize health, legal, policy, election, finance, education, and crisis claims where bad context can change decisions.
Source-heavy summaries
Review citations, named sources, quotes, statistics, dates, links, and claims copied from reports, screenshots, or AI-written summaries.
Fast-moving posts
Check captions, quote cards, short threads, and article summaries before a rough claim becomes a newsroom note, classroom example, or public reply.
A repeatable first-pass review loop for uncertain claims.
- Paste the exact claim, headline, caption, summary, or source excerpt into the web checker.
- Review verdict, confidence, reasoning, model agreement, caveats, and cited source evidence together.
- Separate supported statements from claims that need better sourcing, tighter wording, or direct manual verification.
- Use the Chrome extension when the claim and source material are already open in the browser.
Route each misinformation check to the right workflow.
Single claims
Use the claim checker for standalone assertions, figures, quotes, named people, policy claims, and context-sensitive statements.
News articles
Use the article workflow when a claim depends on a headline, live story, report summary, or paragraph-level source context.
Social posts
Use the social post workflow when a claim appears as a caption, screenshot, quote card, short thread, or reposted summary.
AI-generated text
Use the AI content workflow when generated copy includes citations, source names, confident conclusions, or summaries that may hide uncertainty.
Full verification process
Use the workflow guide when a claim needs a repeatable review process across source quality, citations, model disagreement, and final human judgment.
Using FactSentinel as an AI misinformation checker.
Can an AI misinformation checker prove whether everything is true?
No. FactSentinel is a first-pass review workflow. It helps expose source evidence, reasoning, confidence, model agreement, and caveats so a human can decide what still needs manual verification.
What misinformation claims should I check first?
Prioritize claims with numbers, dates, names, quotes, locations, medical context, legal context, policy implications, source screenshots, or claims that may be repeated outside their original context.
How is this different from a general search?
A general search can find pages. FactSentinel keeps the claim, reasoning, cited evidence, model agreement, and caveats together so reviewers can see whether the evidence actually supports the claim.
Check the claim, not just the topic.
Paste a claim into the web checker, or install the extension to keep the review layer close while reading sources, posts, and articles.