Analytical Principles
Forensic, not editorial
We score what is structurally present in a text — framing, evidence quality, omissions, emotional load — not whether we agree with the conclusion.
Multi-axis, not left/right
A single ideology label flattens complex argumentation. Our framework decomposes a piece into independent rhetorical dimensions that can be reasoned about separately.
Cross-source triangulation
For event-level questions, no single article is sufficient. We synthesize signals across news, social, video, web, and institutional sources before drawing inferences.
Reproducible & auditable
Every analysis returns a structured report you can compare across articles, time, and topics. Outputs are designed to be defensible — not just persuasive.
Two Analytical Surfaces
Rhetorical analysis
A specific article — submitted by URL, raw text, or via the Chrome extension — is evaluated against the FME framework. The output is a structured rhetorical profile of that single piece.
Intelligence Brief
For an event, topic, or entity, the platform collects normalized signals across news, social, video, web, and institutional sources, then synthesizes a brief covering narratives, authenticity, emotion, and risk.
Analysis Pipeline
Source acquisition
An article URL, raw text, or a topic + selected source set is captured. For multi-source briefs, normalized signals are gathered across news, social, video, web, and institutional channels.
Signal extraction
The text is decomposed into rhetorical features: claims, framing devices, evidence patterns, emotional cues, omitted context, and narrative structure.
Forensic evaluation
An LLM-driven analytical layer applies the FME framework to score each dimension and surface specific, evidence-anchored observations.
Synthesis & dissonance check
For multi-source briefs, the system compares social narratives against institutional reality to identify divergence — where public sentiment and verifiable evidence disagree.
Structured report
Outputs are rendered as a comparable, exportable report — usable across editorial review, research workflows, policy briefings, and UAT-style auditing.