About TruthSignal

We live in an era of hypergeneration where social media algorithms reward clicks over credibility, and the race for attention corrupts the very foundation of trustworthy information.

Generative AI has made this crisis exponentially worse. Anyone can now manufacture convincing content at scale, making it harder than ever to separate fact from fiction, authentic voices from synthetic noise.

The question isn't just "What's true?", it's "Who can I trust?" and "What should I believe?" These are increasingly difficult questions in a world drowning in information.

Most media presents the world in absolutes: true or false, right or wrong, credible or not credible. But in reality, complex claims exists in shades of gray and nuance.

Everything is probabilities. The truth is rarely 100% certain. A claim might be 70% likely to be accurate based on available evidence. A source might be credible on some topics but biased on others. Context matters. Nuance matters.

Traditional media's binary framing forces us to pick sides before we've even understood the full picture. We think that's backwards.

We leverage large language models (LLMs) that have read vast amounts of the internet to give us a primitive initial view. But we don't stop there.

We then research, verify, and update using real-time data, checking sources, cross-referencing claims, and applying Bayesian mathematics to calculate the probability of accuracy.

The result? You see credibility scores like 73% accurate instead of just "true" or "false", because that's what the evidence actually supports.

Here's the thing most fact-checkers miss: people don't just lie outright. They selectively share or omit facts to manipulate how you perceive reality. This is called framing.

A politician might cite a true statistic but leave out critical context that completely changes its meaning. A news article might emphasize one fact while burying another that tells a different story.

We analyze what's being said and what's being left unsaid. We flag logical fallacies, psychological manipulation, and framing violations. We help you understand not just what's factually accurate, but what the speaker's intent might be.

Because knowing why someone is saying something is just as important as knowing what they're saying.