# Reputation System

The **Reputation System** in Hash Network evaluates the authenticity and provenance of digital content by assigning two key scores:

1. **Trust Score** – Measures the authenticity and integrity of content based on its on-chain provenance.
2. **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.

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#### **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.

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#### **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.

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#### **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**

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#### **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.