Skip to main content
What can we help you with?
< All Topics
Print

Political Speech Analyzer

Posted
Updated
ByPeter Westerman

name: patriot-speech-analyzer

description: Political speech and text analysis using Claude to detect authoritarianism markers with severity assessment, evidence extraction, and confidence calibration against a structured marker taxonomy. Use when analyzing political rhetoric, detecting democratic erosion patterns, or classifying authoritarian markers in text.

Political Speech Analyzer

Instructions

Analyze political speech and text to detect markers of authoritarianism using Claude, producing structured severity assessments with evidence and confidence levels.

Marker Taxonomy

Evaluate each content item against these marker categories:

Category Markers
Executive overreach Unilateral action, bypassing legislature, emergency power expansion, norm violation
Judicial undermining Court-packing threats, ruling defiance, judicial independence attacks
Press hostility Media delegitimization, journalist targeting, information control
Electoral interference Voter suppression, election result denial, process manipulation
Rule of law erosion Selective prosecution, DOJ politicization, pardon abuse
Democratic norm violation Political violence tolerance, opposition criminalization, loyalty demands
Institutional capture Inspector general removal, civil service politicization, oversight evasion

Severity Scoring

Score each detected marker on a three-point scale:

Score Meaning Criteria
+1 Active threat Concrete action taken or specific policy announced
0 Rhetorical signal Language patterns consistent with the marker but no concrete action
-1 Counter-signal Actions or statements that strengthen democratic norms

Evidence Extraction

For each detected marker, extract:

  • Quote: The exact text passage triggering the detection (50–200 characters)
  • Context: Surrounding context explaining why this passage is significant (1–2 sentences)
  • Category: Which marker category from the taxonomy
  • Severity: +1, 0, or -1 with brief justification
  • Figure: The political figure associated with the statement or action

Confidence Calibration

Assign confidence: High (direct quote, unambiguous match), Medium (paraphrased/secondhand, requires interpretation), or Low (indirect inference, ambiguous). Discard low-confidence detections unless corroborated by a second source in the same scan cycle.

Analysis Protocol

When sending content to Claude: provide the normalized body and metadata, reference the marker taxonomy, request structured JSON output (markers, severity, evidence, confidence), instruct “no markers detected” for neutral content, and prohibit inference beyond what the text supports.

Output includes: content_hash, figure, markers array (each with category, severity, quote, context, confidence), overall_severity (weighted average), and analysis_timestamp.

Examples

Input: Presidential statement announcing executive order bypassing congressional authorization on spending. Output: Marker: executive overreach (severity +1, confidence high), quote extracted, context: “Bypasses congressional appropriations authority.” Overall severity: +1.

Input: Senator’s floor speech defending judicial independence after court ruling. Output: Marker: judicial undermining (severity -1, confidence high), quote extracted, context: “Affirms separation of powers and court authority.” Overall severity: -1.

Table of Contents
Privacy Policy Terms and Conditions Cookie Policy