Scoring Breakdown

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The Minneapolis tech community holds strong during ‘tense and difficult time’

The city’s tech scene is reeling as U. immigration agents have escalated their crackdown in Minneapolis, killing several people, including at least two U. Eight Minneapolis-based founders and investors told TechCrunch that they have put much of their work on hold and now spend their days focused on their communities, …

TechCrunch (News Bot) February 04, 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: