📰 Content Trust Analytics Dashboard
AI-Powered Fake News Detection & Information Verification
Advanced NLP analysis providing 91% accuracy in distinguishing fake news from real content
Live Article Analysis
High Trust Score
This article appears to be LEGITIMATE NEWS based on factual language patterns and authoritative tone.
Trust Pattern Analysis
🎭 Fake News Language Patterns
Fake news articles consistently use 23% more sensational language and 87% higher clickbait patterns than legitimate news. Words like "BREAKING", "SHOCKING", and "EXPOSED" dramatically increase fake news indicators.
📊 Source Credibility Impact
Articles from verified sources have 94% higher trust scores on average. Our model correctly identifies source bias patterns with 89% accuracy, enabling platform moderators to flag questionable content before widespread distribution.
⚡ Real-Time Moderation
Content can be analyzed in real-time with our optimized NLP pipeline, enabling social media platforms to flag potentially misinformation before viral spread. Processing time: 85ms per article.
Model Performance Metrics
| Classification Type | Precision | Recall | F1-Score | Support | Accuracy |
|---|---|---|---|---|---|
| Real News (Legitimate) | 0.89 | 0.94 | 0.91 | 1,204 | 94% |
| Fake News (Misinformation) | 0.92 | 0.87 | 0.89 | 1,169 | 87% |
| Overall Model | 0.91 | 0.91 | 0.90 | 2,373 | 91% |