This is a research prototype. The data and analyses are preliminary and not yet validated — we'd welcome your .
A Russian-linked disinformation network, operated by John Mark Dougan, utilized AI tools including ChatGPT and deepfake generation to create and spread false claims about Olena Zelenska purchasing a luxury Bugatti car. The campaign, which included fabricated invoices and fake news websites, aimed to erode Western political support for Ukraine by targeting voters in the US and UK. The deepfake video reached millions of views on social media platforms before being debunked by Bugatti and cybersecurity researchers.
A purported deepfake video falsely suggesting that Olena Zelenska, wife of Ukrainian President Volodymyr Zelenskyy, purchased a luxury car, reportedly circulated widely online. The video is reportedly part of a Russian-linked disinformation campaign aimed at undermining Ukraine and its supporters.
Domain classification, causal taxonomy, severity scores, and national security assessments were LLM-classified and may contain errors.
Using AI systems to conduct large-scale disinformation campaigns, malicious surveillance, or targeted and sophisticated automated censorship and propaganda, with the aim of manipulating political processes, public opinion, and behavior.
Also classified as
The campaign generated highly specific false narratives, including a fabricated invoice and a deepfake video, to mislead the public.
The incident involves a coordinated Russian-linked network using AI to conduct a large-scale disinformation campaign aimed at manipulating public opinion and political processes in the US and UK.
Human
Due to a decision or action made by humans
Intentional
Due to an expected outcome from pursuing a goal
Post-deployment
Occurring after the AI model has been trained and deployed
The disinformation campaign was intentionally orchestrated by human actors (John Mark Dougan and Russian networks) using deployed AI systems to generate and spread fake news.
Added categories peak at 4: Severe (Epistemic Harm, Direct)
A coordinated Russian-linked disinformation campaign used ChatGPT and deepfakes to fabricate a story about the Ukrainian President's wife, aiming to erode Western political support. Reaching millions, it highlights the growing threat of AI-scaled foreign influence operations targeting democratic processes and international alliances.
The AI systems (ChatGPT and deepfake generators) were used as tools by a human operator (John Mark Dougan) to generate specific text and video content based on direct prompts and inputs, without exhibiting independent goal-directed planning or autonomy.
Limited Risk: The incident involves 'AI-generated content such as deepfakes' and chatbots (ChatGPT used to generate articles), which fall under Limited Risk requiring transparency obligations so users know they are interacting with AI or viewing synthetic media.
The campaign relied heavily on an AI-generated deepfake video of a fake Bugatti employee to provide 'proof' of the purchase, alongside ChatGPT-generated articles published across fake news websites.
The reports provide highly detailed, consistent, and cross-verified accounts from multiple credible sources (BBC Verify, NewsGuard, Recorded Future, CNN, CBS). The role of AI (ChatGPT and deepfakes) is explicitly documented, and the perpetrator's identity and methods are well-established.
None. The consensus across all reports is that this was a coordinated Russian-linked disinformation campaign.
Technology
AI Deepfake Video Generation
Deepfake video of fake Bugatti employee created to deceive viewers.
LLM Mass Article Generation
ChatGPT used to rapidly generate thousands of politically biased articles.
SEO Manipulation Algorithms
Digital strategies pushed AI-generated fake news to top search results.
Data Inputs
Scraped Media Content
Real media articles scraped to provide context for AI-rewritten propaganda.
Biased System Prompts
Instructions told LLMs to favor Russia and Republicans while attacking allies.
Stolen Identity Photos
Real photos used to create fake author profiles for AI-generated articles.
Human Factors
Confirmation Bias in Audience
Voters readily shared the fake story because it aligned with their beliefs.
Poor Digital Literacy
Users failed to notice telltale signs of AI manipulation in the video.
Malicious Intent of Operator
John Dougan weaponized AI to run elaborate Russian disinformation campaigns.
Process and Methods
Ineffective Platform Moderation
X and Telegram failed to quickly detect and remove viral deepfake content.
No Human in the Loop
Automated publishing allowed raw AI content to go live with prompt leaks.
Flawed Search Indexing
Microsoft MSN aggregated and indexed the fake story as a top search result.
Management
Lack of Aggregator Oversight
MSN lacked proper vetting processes for source sites in its news feed.
No Editorial Standards
The copy-site network intentionally omitted editorial safety reviews.
Regulatory Environment
Weak Platform Regulations
Lack of strict regulatory enforcement on social platforms hosting deepfakes.
Absence of Deepfake Laws
No robust legal frameworks to prevent or prosecute cross-border AI fakes.
AI system involved
Identified by automated extraction; can differ from the alleged developers above.
