Scoring Breakdown

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FYI: Impersonators are (still) targeting companies with fake TechCrunch outreach

Hi, thanks as always for reading TechCrunch. We want to talk with you quickly about something important. A growing number of scammers are impersonating TechCrunch reporters, editors, and event leads and reaching out to companies, pretending to be our staff when they absolutely are not. (Here is a list of …

TechCrunch (News Bot) March 06, 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: