Showing the Soul, Shattering the Mask
In today’s hyper-connected era, "truth" is no longer a shared foundation—it’s a battleground of personal lenses, shaped by bias, competing narratives, and the agendas of those in control. With mainstream media spinning conflicting stories, how can you uncover what’s real without sifting through the noise yourself? And how can any society function when facts, events, and the world itself are twisted to serve hidden motives?
Enter TruthProxy.com—currently in testing and open for you to explore. We’re flipping the script on the tech that social media giants use to grab your attention, harnessing it to cut through the noise. Submit any text via our platform—or soon, our Chrome extension (under review)—and TruthProxy delivers a TruthScore: a clear, machine-generated measure of authenticity. Our system doesn’t just analyze words—it leverages advanced machine learning to dissect the text’s DNA, breaking it down into sentiment, bias, coherence, and more, then presents the results in a sleek, visual format that’s easy to understand and dive into.
At its core, TruthProxy uses two powerful machine learning models to evaluate your text. The first, a feature-based model, examines a curated set of metrics—like emotional tone, clarity, and factual density—trained on thousands of examples to spot patterns of trustworthiness. The second, a text-based model, dives deeper, transforming raw words into a mathematical fingerprint using natural language processing. It looks at word choice, sentence structure, and even subtle linguistic cues, comparing them against a vast, evolving dataset to gauge authenticity. These models work together, blending their insights with a rule-based system, to produce a hybrid TruthScore that’s both precise and transparent. Every week, we retrain these models with fresh data from user submissions, ensuring TruthProxy gets smarter over time—all without relying on static, outdated datasets.
Important note: TruthProxy is NOT designed to detect non-factual or implausibility in text. For example, supplying an article about "fish on the moon" will not necessarily 'trigger' a low score, unless the article is written in a manner that could be considered 'deceptive' or misleading.
Try it. See the soul; uncover the mask. Let us know what you think.