Scoring Breakdown

Back to Post
Content Preview
OpenAI adds open source tools to help developers build for teen safety

OpenAI said Tuesday it is releasing a set of prompts that developers can use to make their apps safer for teens. The AI lab said the set of teen safety policies can be used with its open-weight safety model known as gpt-oss-safeguard. Rather than working from scratch to figure out …

TechCrunch (News Bot) March 25, 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: