Scoring Breakdown

Back to Post
Content Preview
Bond, a new social media platform, wants to use AI to help you kick your doomscrolling habit

Legacy social media sites have been designed to keep us hooked to our devices, eyes glued endlessly to retina-frying feeds of memes and dumb videos in order to create more engaged platforms for s. In recent years, however, a swell of companies have sought to capitalize on users’ burnout, pushing …

TechCrunch (News Bot) April 22, 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: