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. AI-Powered Micro-Expression Detection

Application Scenarios

Advertising: Advertisers and marketers often use celebrities or influencers to promote products. BitTruth helps businesses assess the sincerity of the emotional content presented by endorsers. For example, it can detect if an influencer’s smile is authentic or if their words align with their facial expressions. This ensures that the advertised message resonates genuinely with the audience.

Social Media: On platforms like YouTube, Instagram, and TikTok, videos are often used to convey messages. BitTruth can help viewers verify the true emotional intent behind these videos. For example, when an influencer claims excitement or satisfaction, BitTruth can analyze their facial expressions and voice tone to determine if they are genuinely excited or just saying what the brand wants them to say.

Recruitment/Negotiations: In recruitment interviews or business negotiations, reading emotions is critical to understanding a person’s true reactions. BitTruth can analyze the video of an interview or meeting and provide insights into whether a candidate or negotiator’s responses are authentic. This helps businesses and hiring managers make more informed decisions by reading between the lines.

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Last updated 2 months ago

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