Our Vision

A trust layer for claims moving faster than corrections

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.

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Our Vision

DeepFactCheck is being built for the messy internet people actually use

Claim appears
Evidence checked
Judgment improves

The problem

The feed moves faster than corrections

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When people scroll a social media feed or watch a stream of short videos, they meet a huge amount of new information in very little time. It is hard to tell whether a claim is correct in the moment. Sometimes there is a source or two. Often there is not.

People are left judging claims by whether they sound logical, fit their worldview, or have been shared by enough people without obvious warning signs. None of those signals can verify whether the information is true.

That is how conspiracy theories, harmful misinformation, and disinformation can spread quickly. By the time a reliable correction appears, the original claim may already have shaped what people believe and share.

Why now

AI raises the volume of claims

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This problem is becoming more urgent. Major platforms are changing how they handle misinformation, and some are moving away from traditional third-party fact-checking toward community-driven systems.

Community review can help, but it cannot carry the full load alone. AI makes it easier to generate posts, screenshots, articles, comments, and videos at massive scale. That creates a greater need for tools that help people check claims directly, quickly, and transparently.

DeepFactCheck is being built for that moment.

What DeepFactCheck does

Evidence before opinion

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DeepFactCheck helps users evaluate the accuracy of claims they see online. Instead of asking a single AI model for a quick opinion, the product is designed around a multi-step fact-checking workflow.

Each claim can be broken down, searched, reviewed against evidence, and presented in a clear report that explains the likely accuracy of the claim and why that conclusion was reached.

Quick Check is designed for fast, everyday verification. Deep Check is designed for more careful analysis when a claim is complex, sensitive, or important.

Built for real claims

Misinformation rarely arrives as a clean question

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Misinformation usually appears as social media posts, viral screenshots, short videos, headlines, captions, forwarded messages, and emotional claims shared without context.

DeepFactCheck is being designed to support the way people actually encounter information online. Today, the product focuses on text-based claims. Next, we plan to support claims from URLs and images.

We also plan to expand language support, including Urdu and Hindi, so fact-checking becomes more useful for communities where misinformation often spreads quickly but reliable tools are limited.

Popular and viral claims

From one-off checks to shared knowledge

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DeepFactCheck will also highlight popular claims from users and from the wider internet. This can help people see which claims are checked most often, what verdicts they receive, and where uncertainty still exists.

Instead of treating fact-checking as a private one-time action, DeepFactCheck can become a shared knowledge layer around viral information.

Over time, this can help users understand not only whether one claim is accurate, but also what kinds of misinformation are spreading, which topics are trending, and where more careful review is needed.

Workflow testing

A system that can be measured and improved

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DeepFactCheck is not being built as a black-box chatbot. The workflow is being tested empirically at each stage, including claim handling, evidence retrieval, reasoning, verdict generation, and report presentation.

The goal is to create a system that can be measured, improved, and trusted over time.

Fact-checking is not just about producing an answer. It is about showing how that answer was reached, what evidence supports it, what limitations remain, and when human judgment is still needed.

Our long-term vision

An everyday trust layer for the internet

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Our long-term vision is for DeepFactCheck to become an everyday trust layer for the internet. We imagine a future where checking a post can feel as natural as checking grammar today.

A browser extension could let someone highlight a claim, inspect a social media post, or review a suspicious article without leaving the page. There may also be opportunities to collaborate with social networks.

Community feedback and professional fact-checkers both have a role to play as the platform grows.

Why it matters

Speed alone is not enough

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The internet needs faster fact-checking, but speed alone is not enough. People need tools that are clear, transparent, multilingual, easy to use, and grounded in evidence.

They need systems that can handle viral claims in the messy formats where misinformation actually appears, and a way to combine AI speed with human review.

DeepFactCheck is being built to meet that need. Our mission is to help people make better decisions about what they read, believe, and share online.

Product roadmap

What exists now, what comes next, and what stays long-term

Current product
Text-based claimsQuick CheckDeep CheckEvidence-based reportsSaved reportsFeedback
PlannedNot live
URL supportImage supportUrdu/Hindi expansionPopular and viral claim discovery
Long-termNot live
Browser extensionSocial collaborationCommunity votingProfessional fact-checker oversight

Mission statement

Faster checking, better judgment

“Our mission is to help people make better decisions about what they read, believe, and share online.”