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How It Works

Overview

The Worldnet Trust Tool runs a 6-layer verification pipeline to measure how much verifiable human creative network exists behind a piece of music. It searches public databases, press archives, tour listings, and social platforms to build a transparent picture of who made the music.

The 6 Layers

L1

Credits

15% weight

Measures the breadth of the artist's discography across music databases. How many releases, what types, and how far back does their catalog go?

L2

Digital Footprint

15% weight

Internet archaeology: how far back can we trace this person? Can we verify their alias belongs to a real person with a real name? Checks MusicBrainz aliases, Wikidata birth names, and activity history.

L3

Tour/Performance History

15% weight

Evidence of real-world live performances via Setlist.fm and MusicBrainz events. Physical world evidence is difficult to fabricate.

L4

Collaborators

30% weight

Who worked on this artist's music? Producers, musicians, engineers, songwriters. Each collaborator is verified through 5 independent checks for their own credit history and connections. The hardest signal to fake.

L5

Editorial/Press

15% weight

Searches music publications, YouTube interviews, and podcast appearances. Personal interviews score highest. Human-to-human interaction documented by third parties.

L6

Social Presence

10% weight

Detects social media accounts linked to the project. Surfaces links and metadata for user evaluation. Low weight because social accounts are easy to fabricate.

Verification Cascade

Each collaborator found on the artist's releases is verified through 5 independent checks:

  1. Music database existence (MusicBrainz/Discogs)
  2. Credits on other projects by different artists
  3. Web presence predating the current project
  4. Social accounts with activity history
  5. Connection to other independently verified humans

Trust Tiers

Unverified0.0 - 1.0
Low Trust1.0 - 2.5
Trusted2.5 - 4.0
Deep Trust4.0 - 5.0

What We Intentionally Exclude

These signals are excluded because they can be trivially achieved by AI-generated projects:

  • - Spotify verified artist badge
  • - Follower count on any platform
  • - Monthly listener count
  • - Playlist placements
  • - Stream count

AI Context

When articles discuss AI involvement with an artist, they are surfaced as context alongside the trust score. The AI context does not override the score. A real artist who uses AI tools will still score high because their human network exists independently. The score does the heavy lifting. The AI context adds clarity.