Dozens of channels on YouTube are mixing AI-generated images and videos with false claims about the trial of Sean “Diddy” Combs to attract millions of views and make quick profits from the misinformation industry.
Introduction: The digital lie-making industry
In a world eager for the latest celebrity news and scandals, a new and unsettling phenomenon has found its way onto YouTube. Dozens of channels are exploiting AI-generated images and videos, blended with false and sensational claims surrounding the high-profile trial of rapper and producer Sean “Diddy” Combs, to draw tens of millions of views and reap quick profits from spreading misinformation. An investigation by “Indicator” in collaboration with “The Guardian” uncovers a network of channels following a specific formula to manufacture what is known as “slop”—low-quality, AI-generated media.
According to data gathered from YouTube, 26 channels have garnered nearly 70 million views from roughly 900 Diddy-related, AI-saturated video clips over the past 12 months, illustrating the sheer scale of this troubling phenomenon.
The deception formula: Shocking titles and thumbnails
These channels follow a remarkably similar and dangerously effective formula. Each video typically features an AI-generated title and thumbnail linking a celebrity to “Diddy” through a false claim, such as that the celebrity just testified at the trial, was forced into a sexual act by “Diddy,” or revealed a shocking secret. The thumbnails frequently depict celebrities in a courtroom or in compromising situations, paired with provocative, sensational fake quotes like “He raped me for 16 hours” or “Diddy destroyed Bieber’s life.”
Among these channels, “Peeper” stands out, having racked up over 74 million views since its creation and focusing entirely on “Diddy” content over the past eight months. One of its most viral videos carries the false title: “Justin Bieber exposes Will Smith, Diddy, and Clive Davis for involvement in his exploitation,” garnering 2.3 million views.
From innocent content to misleading “slop”
What is particularly alarming is that many of these channels were not always dedicated to spreading falsehoods. The channel “Secret Story” pivoted to “Diddy” content after previously publishing health and lifestyle tips in Vietnamese. “Hero Story” shifted to “Diddy” after posting videos about Burkina Faso’s military junta. Additionally, a Brazilian channel that was pulling in millions of views from embroidery videos transitioned to “Diddy” content less than two weeks ago. This rapid turnaround highlights how easy and lucrative it is to exploit trending topics to manufacture misleading content.
Says Vanner Arts, who runs dozens of YouTube channels with AI-generated content: “If you ask me how I can make $50,000 as fast as possible? Option one might be drug dealing, but option two is probably starting a Diddy channel.”
“Faceless” automation and the impact of artificial intelligence
This phenomenon stems from two overlapping trends in the world of YouTube monetization: automation and “faceless” channels. The concept of YouTube automation dictates that anyone can build a successful business on the platform by finding an in-demand niche and a low-cost video production process. Thanks to artificial intelligence, the dream of automation has become easier than ever.
Arts explains that anyone can generate a script using ChatGPT, create thumbnails with Midjourney, produce video clips using Google Veo 3, and finish the process with a tool like ElevenLabs to create an AI voiceover. Freelancers from countries like the Philippines can then be hired to edit the video for next to nothing. Arts notes: “AI has opened the door for many people with low budgets to enter the world of YouTube automation,” pointing out that a video can be produced for under $10.
YouTube’s response and the ongoing battle
Faced with this phenomenon, YouTube has taken some action. Jack Malone, a YouTube spokesperson, stated that the company “terminated several channels shared by Indicator for violating terms of service and spam policies.” The company also demonetized several other channels. Nonetheless, the battle continues, with new channels popping up constantly and the phenomenon spilling over to other platforms like TikTok and into various languages.
This issue shines a light on a major challenge facing digital platforms and society as a whole: how can we combat a misinformation epidemic in an era where AI can manufacture lies faster, cheaper, and more convincingly than ever before? The answer demands joint efforts from tech companies, legislators, and users themselves to foster awareness and critical thinking.
