Fake Anti-Labour Videos on YouTube: 1.2bn Views in 2025

by mark.thompson business editor

AI-Generated Disinformation Campaign Targets UK Labor party, Amassing Billions of Views

A network of YouTube channels spreading false and inflammatory content about the UK Labour Party and its leader, Keir Starmer, has garnered nearly 1.2 billion views in 2025, raising serious concerns about the weaponization of artificial intelligence for political manipulation. The findings,detailed in a study reviewed by The Guardian,reveal a coordinated effort to exploit political divisions and profit from the spread of misinformation.

Surge in Synthetic Propaganda

More than 150 channels detected over the past year have actively promoted anti-Labour narratives, often featuring outright fabrications and alarmist rhetoric. These channels have collectively amassed 5.3 million subscribers and published over 56,000 videos. The proliferation of inexpensive AI tools is cited as a key driver, enabling the rapid creation of synthetic propaganda at scale.

“malicious actors are permitted by YouTube to spread synthetic ‘news’ that disrupts political debate in the UK, while also earning revenue from it,” stated Dylan Sparks, UK director of Reset Tech, the non-profit group behind the research.”This AI-generated, low cost content spreads across the platform undetected, revealing clear weaknesses in youtube’s monetisation and content moderation systems.”

Targeted Attacks on Keir Starmer

The Labour leader, Keir Starmer, was a frequent target of the disinformation campaign, with his name appearing in video titles or descriptions over 15,600 times. Examples of fabricated stories included claims of starmer and Shadow Chancellor Rachel Reeves facing arrest, disseminated by a channel called Britain News-night. Another channel, TheUKPoliticalBrief, promoted videos alleging an “explosive truth” about immigrant crime and planned marches on Westminster.

Further fueling the narrative, The UK NewsCore channel falsely claimed Nigel Farage was ousting Starmer and that the labour leader had been “sacked live” and removed from parliament. Other channels spread bizarre rumors, such as a dispute between the royal family and the government, with Gold Up! reporting the situation had left Starmer “melting down on live TV.”

Global Network of Disinformation

The problem extends beyond the UK, with Reset Tech identifying 420 problematic channels operating across Europe – in German, French, Spanish, and Polish – targeting various politicians and political issues. The institution noted that some channels are operated by Russian-speaking creators. While the UK-focused channels appear to be driven by creators seeking to capitalize on divisive issues like immigration, the potential for foreign interference remains a significant concern.

Labour Party and Government Response

The findings have prompted alarm within the Labour Party. “The rise of fake news online is a serious threat to our democracy,” a party spokesperson said.”The public will be rightly alarmed that democratically elected leaders and institutions are being undermined by bad faith foreign state actors and those seeking to profit from misinformation.”

The government is reportedly increasing its efforts to collaborate with online platforms to combat the spread of disinformation. Though, officials emphasize the need for tech companies to take greater duty for removing harmful content.

YouTube’s Response and Ongoing Concerns

Following inquiries from The Guardian, YouTube removed all 150 identified channels. A YouTube spokesperson stated that “spam and deceptive practices that try to take advantage of the YouTube community are not allowed on the platform,” and that the company enforces its policies consistently. the platform has removed over 2.1 million channels for violating its community guidelines and is now collaborating with Reset Tech on its findings.

Despite YouTube’s actions, Reset Tech points out that some channels had already created hundreds of similar videos before being removed, highlighting the limitations of current content moderation systems. The basic tension between platform revenue models – which prioritize engagement – and the need to curb the spread of malicious content remains a critical challenge. The rapid advancement of AI technology further exacerbates these risks, demanding faster and more considerable investment in content moderation and detection technologies.

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