How It Works
Truth isn't binary. Neither is our analysis.
Facts + Framing + Context
Probabilistic, Not Binary
We don't say "TRUE" or "FALSE." We calculate Bayesian probabilities (0-100%) based on evidence strength, source quality, and context.
Framing Matters
Facts can be accurate yet misleading. We analyze both veracity AND presentation— what's said, what's omitted, and what you're meant to believe.
Full Transparency
Every analysis shows our work: evidence sources, Bayesian calculations, detected biases. No black box.
Seven-Stage Analysis
Powered by Grok-4 • Algorithm v4.0
Content Extraction
Extract and chunk content for analysis. Handles unlimited article length while maintaining context.
Claim Extraction
Identify verifiable claims. Classify as factual, predictive, opinion, or emotive.
Bayesian Evidence Analysis
Calculate probabilities using Bayes' theorem. Prior probability + evidence quality = posterior probability.
Framing Detection
Detect manipulation: temporal framing, omissions, causal claims, scale manipulation, and psychological exploitation.
Author Credibility Research
Research author background, expertise, track record, and historical accuracy patterns.
Dual Credibility Scoring
Two scores: Factual Credibility (claim accuracy) and Presentation Credibility (framing quality).
Truth-Seeking vs Tribe-Signaling
Bayesian analysis on the Truth-Seeking ↔ Tribe-Signaling spectrum. Does content expand discourse or inflame tribal identity?
Because truth is probabilistic
Traditional fact-checkers use binary labels (TRUE/FALSE). We use probabilities (0-100%). Why? Because most claims aren't absolutely certain—they're supported by evidence of varying quality.
❌ Traditional
- Binary labels (TRUE/FALSE)
- No uncertainty shown
- Ignores base rates
- Misses framing tactics
✅ TruthSignal
- Probability scores (0-100%)
- Shows confidence levels
- Uses priors and context
- Detects manipulation
The Hidden Manipulation
Most misinformation isn't false. It's true facts with deceptive framing.
Temporal Framing
Old events as breaking news
Omission Framing
Cherry-picked facts, hidden context
Causal Framing
Correlation as causation
Scale Manipulation
Misleading percentages and units
Psychological Tactics
Exploiting emotions over logic
False Balance
Fringe views as equally valid
Current Algorithm
October 18, 2025
Seven-stage analysis with Bayesian Truth-Seeking ↔ Tribe-Signaling spectrum. Includes historical framing across six decades, Overton window tracking, and intellectual interest assessment.
See it in action →