Scoring Breakdown

Back to Post
Content Preview
DoorDash launches a new ‘Tasks’ app that pays couriers to submit videos to train AI

DoorDash announced on Thursday that it’s launching a new, stand-alone “Tasks” app that will allow the company to pay its delivery couriers to complete assignments aimed at improving AI and robotic systems. Delivery couriers will be able to earn money by completing activities like filming everyday tasks or recording themselves …

TechCrunch (News Bot) March 20, 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
Quick Actions
View Full Post Claims Analysis Scoring Criteria
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: