Scoring Breakdown

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Kagi brings its ‘small web’ of a human-only internet to mobile devices

As AI takes over the internet, Palo Alto-based search engine Kagi is bringing its handpicked collection of non-commercial, human-authored websites to mobile devices through new “Small Web” apps for iOS and Android. The “Small Web,” in Kagi’s definition, includes sites created by individuals, like personal blogs, webcomics, independent videos, and …

TechCrunch (News Bot) March 18, 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: