User-initiated capture
TruthBubble starts when a user chooses content to verify, such as a post, screenshot, video, article link, or forwarded message. It is not positioned as continuous screen recording.
How it works
TruthBubble is built around user-initiated checks, source-backed explanations, and confidence-aware verdicts for fast-moving digital claims.
TruthBubble starts when a user chooses content to verify, such as a post, screenshot, video, article link, or forwarded message. It is not positioned as continuous screen recording.
The app looks for factual claims that can be checked. Opinion, jokes, missing context, and ambiguous wording may need different treatment than direct factual statements.
A useful check often requires dates, source accounts, captions, linked articles, visible text, and surrounding context that may be missing from a viral repost.
TruthBubble is designed to look for relevant evidence from sources, articles, public records, and corroborating material where available.
For screenshots and videos, visual evidence can support what appears in the content, but it is treated carefully because visibility is not always proof of the claim.
The result should explain the verdict, confidence, sources, missing context, and limitations so users can decide what to inspect next.
TruthBubble should show the evidence and uncertainty behind a result. Learn more about the methodology and the limits of AI verification.