Scammers have been inserting fake songs onto real artist's pages on Spotify and other platforms

Written and edited by the WorldPing NewsdeskPublished Updated Original reporting: Engadget
Scammers have been inserting fake songs onto real artist's pages on Spotify and other platformsWorldPing
Image via Engadget.

What happened

A distribution loophole lets scammers collect royalties uploading fake songs to profiles for real bands.

Key facts

  • Reported by Engadget and published Thu, 17 Sep 2026 16:37:26 UTC.

Why it matters

Platform, chip and AI decisions set the terms other companies have to build on, so a single announcement here tends to ripple through products, supply chains and regulation.

What to watch next

  • Availability, pricing and rollout regions
  • Independent testing or verification of the claims made
  • Responses from regulators and competing platforms

Coverage timeline

When each newsroom published on this story, oldest first — all times UTC.

  1. Spotify expands its partner program for podcasts to 35 new countries

  2. Show HN: Share your AI Setup, Learn from others

  3. Spotify’s Fresh Finds Forward gives artists free studio time and more

  4. A dolphin named Bubbles makes other fish vomit, then eats it

  5. Scammers have been inserting fake songs onto real artist's pages on Spotify and other platforms

Sources

The original report was published by Engadget. WorldPing does not claim that reporting — this page summarises and contextualises it.

Read the full report at Engadget

Related WorldPing coverage

The Verge
WorldPing
The Verge

Spotify’s Fresh Finds Forward gives artists free studio time and more

Getting added to Spotify's Fresh Finds playlists can be a huge break for artists trying to cut through the noise on streaming. Now Spotify is launching a program called Fresh Finds Forward, which aims to give artists the tools to capitalize on that exposure.

Brief by WorldPing · Original reporting by The Verge

Hacker News
WorldPing
Hacker News

Show HN: Share your AI Setup, Learn from others

I kept seeing engineers share what they were building with AI; however, I was always more curious about how they worked. Which agents did they use? What skills and tools had stuck or been thrown out the window? How did they manage longer-running tasks?

Brief by WorldPing · Original reporting by Hacker News