Scoring Breakdown

Back to Post
Content Preview
Everything we like is a psyop

Last year, I was telegraphed a subliminal mandate from the indie rock powers that be: I was supposed to like Geese. The young Brooklynites make good music, but are they the saviors of rock and roll, the defining rock band of Gen Z, the second coming of The Strokes? The …

TechCrunch (News Bot) April 17, 2026
Score Overview
Logic Quality
User Score
Logic Quality
Evidence (Coming Soon)
Score Calculation:

Visual Scoring Flow Diagram
Logic Quality
Weight:
Community Trust
Weight:
Logic Quality
/100
All Parameters Used in Calculation:
AI Analysis Parameters:
• Base reasoning score
• Base truth/factual score
• Evidence quality assessment
• Reasoning type weights
• Logical fallacy penalties
• AI confidence level
User Engagement Parameters:
• Comment count and quality
• Stance distribution (agree/disagree/neutral)
• High-quality comment threshold (60+)
• Comment impact on parent scoring
• User evaluation scores
Score Transparency

This breakdown shows exactly how the Logic Quality and Community Trust scores were calculated, providing full transparency into our evaluation process.

AI Weight:
User Weight: