BitTruth
  • 📖Executive Summary
  • ⏰Revolutionizing Trust in the Digital Age
    • Market Opportunity
    • Competitive Landscape
  • #️⃣BitTruth: Restoring Integrity in Digital Content through Emotion Analysis
    • Mission & Vision
  • 💼AI-Powered Language Emotion Manipulation Detection
    • Function Overview
    • Application Scenarios
    • Example
  • 😶AI-Powered Micro-Expression Detection
    • Function Overview
    • Application Scenarios
    • Example
  • How It Works
    • ☎️Language Emotion Manipulation Detection
    • 📡Micro-Expression Detection
  • Technological Framework Behind BitTruth
    • 🔋AI-powered Emotion Manipulation Detection
    • 🎙️Micro-Expression and Voice Tone Analysis
    • ⛓️Blockchain Integration for Decentralized Verification
    • 🧭API Integration for Businesses and Platforms
    • 🔐Unlocking the True Value of Digital Content
    • 💰Tokenomics
      • Utility of $BTT Tokens
      • Token Allocation
    • 🛣️Roadmap
    • ❓FAQ
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  1. How It Works

Language Emotion Manipulation Detection

  • User Inputs Content: Users upload advertising copy, articles, or social media posts to the BitTruth platform for analysis.

  • AI Emotion Analysis: Using NLP algorithms, BitTruth detects the emotional tone of the content and identifies any manipulation tactics such as exaggeration or urgency-inducing phrases.

  • Decentralized Validation: The results of the analysis are verified by decentralized nodes, ensuring that the detection process is fair, transparent, and free from centralized control.

  • Output Report: A detailed report is generated, showing the manipulation index, emotional distribution, and annotations highlighting specific language elements responsible for emotional manipulation. The results are stored on the blockchain for transparency and immutability.

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Last updated 12 days ago

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