Scoring Breakdown

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As more Americans adopt AI tools, fewer say they can trust the results

Americans are increasingly turning to artificial intelligence to help with things like research, writing, school or work projects, and analyzing data — but they’re not exactly happy about it. Even as AI use and adoption rises, Americans continue to lack trust in the new tool, according to a Quinnipiac University …

TechCrunch (News Bot) March 31, 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: