Incident 832: Viral AI-Generated Song about "Diddy Party" Mimics Justin Bieber

Description: An AI-generated song imitating Justin Bieber’s voice, referencing a "Diddy party," spread widely across social media, reportedly leading fans to believe it was authentic. Experts identified the audio as likely AI-made, citing frequency mismatches and digital artifacts. The viral song misrepresented Bieber, posing potential brand and revenue impacts for the artist while misleading listeners.

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Alleged: Unknown deepfake technology creators developed an AI system deployed by Unknown YouTube user , Unknown X (Twitter) user , Unknown TikTok user and the_real_cool_dad, which harmed Justin Bieber fans , Justin Bieber and Sean Combs.

Incident Stats

Incident ID

832

Report Count

Incident Date

2024-04-06

Editors

Daniel Atherton

Incident Reports

Reports Timeline

Viral Justin Bieber song about "'Diddy' party" is likely AI-generated, researchers say

cbsnews.com

Justin Bieber song about 'Diddy party' raises questions about its origin

foxnews.com

cbsnews.com · 2024

A song that sounds like it was released by Justin Bieber, with lyrics saying the singer "lost myself at a 'Diddy' party," has racked up millions of views across social platforms including TikTok, X and YouTube. Researchers tell CBS News the…

foxnews.com · 2024

A new song that sounds like it was released by Justin Bieber, with lyrics mentioning being at a "Diddy party," has gone viral on social media, sparking questions about its authenticity.

It first appeared on social media platforms like TikTo…

Variants

A "variant" is an incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.