Popular and viral claims
From one-off checks to shared knowledge
Popular-claim discovery can reveal what people are checking, which findings appear, and where uncertainty remains.
Our Vision
Online claims are often judged by familiarity, worldview, and social agreement. DeepFactCheck is being built for a different habit: checking evidence before a claim shapes what people believe or share.
The problem
Misinformation rarely arrives as a clean question. It appears during everyday scrolling, sharing, and conversation.
A headline, post, screenshot, or forwarded message reaches people without enough context.
Familiarity, emotion, and repetition can influence judgment before evidence is checked.
By the time reliable context appears, the original claim may already shape what people believe.
Why now · What DeepFactCheck does
DeepFactCheck helps users evaluate the accuracy of online claims through a transparent, multi-step fact-checking workflow rather than relying on a single AI opinion. Each claim is analyzed against evidence and presented in a clear report explaining the likely accuracy and supporting findings.
Identify the specific statement that needs verification.
Find relevant information from available sources.
Compare support, contradictions, source quality, and context.
Present a clear conclusion with reasoning and limitations.
Beyond individual checks
The vision connects useful knowledge from repeated checks with a workflow that can be evaluated over time.
Popular and viral claims
Popular-claim discovery can reveal what people are checking, which findings appear, and where uncertainty remains.
Workflow testing
Claim handling, retrieval, reasoning, findings, and presentation can be tested—not hidden inside a black box.
Why it matters
People need fact-checking that combines AI speed with transparent evidence and human judgment when it matters.
Product direction
The working product and future direction are separated clearly so ambition never reads as availability.
Now
LiveThe live product supports text-based checking and report follow-through.
Next
These inputs and languages are planned, but are not currently available.
Planned — not currently live
Future
Long-term ideas could bring claim checking closer to where information appears.
Future direction — not current functionality
Mission statement
“Our mission is to help people make better decisions about what they read, believe, and share online.”