Reputation System
The Reputation System in Hash Network evaluates the authenticity and provenance of digital content by assigning two key scores:
Trust Score – Measures the authenticity and integrity of content based on its on-chain provenance.
Verification Confidence – Indicates how confidently Hash Network can verify a piece of content using available provenance data.
These two metrics provide a transparent way to assess content trustworthiness before interacting with it.
Trust Score
Definition: The Trust Score is a percentage-based rating that determines how much a piece of content can be trusted based on its provenance records.
How It Works:
Content with a fully intact and verifiable provenance history receives a higher Trust Score.
Content that has been modified frequently or has missing provenance records will have a lower Trust Score.
Trust Score Breakdown:
Score (%)
Meaning
90% - 100%
Fully verified provenance, no detected alterations.
60% - 89%
Minor modifications recorded, but content is still verifiable.
20% - 59%
Significant changes detected, authenticity partially verifiable.
Below 20%
No provenance found or major inconsistencies detected.
A higher Trust Score indicates stronger content authenticity.
Verification Confidence
Definition
The Verification Confidence score is a percentage-based rating that represents how confidently Hash Network can verify content authenticity based on its available on-chain data.
How It Works
Content with strong provenance records and metadata integrity receives a higher Verification Confidence.
Content with incomplete, inconsistent, or unverifiable provenance data will have a lower Verification Confidence.
Verification Confidence Breakdown
Score (%)
Meaning
90% - 100%
Content verification is highly reliable with strong provenance data.
50% - 89%
Some provenance data exists, but verification has minor gaps.
20% - 49%
Limited provenance records, moderate confidence in verification.
Below 20%
Little or no provenance data available, confidence in verification is weak.
A higher Verification Confidence means that Hash Network can verify the content’s authenticity with greater certainty.
How Reputation System Works in Hash Network
Every piece of content registered on Hash Network is assigned both a Trust Score and Verification Confidence.
These scores are calculated based on on-chain metadata, provenance history, and content modifications.
Users can check these scores using:
Hash Network Verify Tool
Hash Network Playground
Smart Contract Queries & API
Why Reputation System Matters
Trust Assessment – Users can quickly determine how reliable a content piece is.
Tamper Detection – Detects unauthorized modifications and potential misinformation.
Fair Attribution – Ensures original creators receive proper recognition.
Strengthening Web3 Transparency – Provides a verifiable standard for digital content in AI-generated media, journalism, and NFTs.
The Reputation System in Hash Network is a foundational element in ensuring content authenticity, making trust verifiable rather than assumed.
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