SemanticTrustOracle

Domain: AI-based moderation, resonance protection, automated pre-flagging Used by: ModerationLog, FlagEscalator, GeoOracle, Boost Targeting AI

The SemanticTrustOracle is the real-time AI module responsible for parsing and analyzing user-generated content for moderation, regional restriction enforcement, fraud detection, and relevance signals. It leverages vector embeddings from the Content Similarity Embeddings layer to semantically understand posts and align them with platform rules and jurisdictional constraints.

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🔍 Core Responsibilities

The SemanticTrustOracle performs the following duties in real time:

1. Detect Semantically Harmful Content

   • Compare all new post embeddings with a database of banned, flagged, or semantically dangerous vectors.

   • Flag or escalate posts that fall within violation thresholds.

   • Provide signals to the ModerationLog.

2. Validate Boost Campaigns

   • Ensure boosted posts are semantically aligned with platform values and user history.

   • Prevent abuse of boosting (e.g. spam, manipulated content).

   • Return similarity scores to Boost Targeting AI for campaign diagnostics.

3. Enhance Country-Based Filtering

   • Works alongside GeoOracle to semantically test content against regional constraints.

   • Only constraints (not content bans) are public.

   • Decision logic is kept hidden within the region's oracle logic.

4. Resonance Integrity

   • Scores each post for how “resonant” or “authentic” it is to its author's historical style, behavior, and network expectations.

   • Helps catch AI-generated or outlier spam by flagging misaligned resonance signals.

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⚙️ Operational Flow

1. Post Submitted

   • Post enters the system with all metadata and media

   • Content Similarity Embeddings generate vector representations

2. Semantic Analysis

   • Vectors are compared against pre-trained violation datasets

   • Geo constraints and resonance scores are checked

3. Outcome Options

   • Pass silently

   • Flag content for review

   • Trigger escalation to FlagEscalator

   • Auto-burn in clear violation scenarios (e.g., hate speech or abuse triggers)

4. Post Distribution Influence

   • Affects whether content is shown on default feeds

   • Boost eligibility may be revoked

   • Retrns and earnings may be blocked if trust fails

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🔐 Hidden Flagging Logic

Unlike traditional moderation systems, the SemanticTrustOracle does not expose its decision thresholds publicly. However:

• Constraints are public

• Outcomes are logged privately

• Posts blocked in one country may appear in another (unless universally burned)

This structure allows regional governments (via CountryNFTs) to enforce custom rules while preserving content availability globally.

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🎯 Boost Targeting Integrity

Before a boost campaign is deployed:

• The SemanticTrustOracle ensures the content matches genuine resonance patterns

• Excessively manipulative or bot-generated content is blocked from boosting

• Viewers who burn ads impact the campaign score, which retroactively feeds into SemanticTrustOracle confidence weights

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🔄 Live Learning

The Oracle updates its vector models over time based on:

• Flag outcomes (manual + automated)

• Post engagement success/failure

• Brn/Bless distributions across cohorts

• Resolved moderation appeals

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🧩 Connected Modules

• ModerationLog

• FlagEscalator

• GeoOracle

• Boost Targeting AI

• Content Similarity Embeddings