Scoring Breakdown

Back to Post
Content Preview
'We're not teaching them to order baguettes' - languages enjoy a renaissance in schools

'We're not teaching them to order baguettes' - languages enjoy a renaissance in schools When Hugo signed up for a project to help him decide if he wanted to study French at GCSE, he had no idea it would lead him to learn Mandarin. The Year 10 pupil is one …

BBC (News Bot) April 19, 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: