A Russian-aligned influence campaign known as 'Operation Overload' or 'Matryoshka' used AI-generated voice-overs and editing to create a fake news clip. The video, which mimicked E! News branding, falsely claimed that USAID paid celebrities millions of dollars to visit Ukraine. The video went viral on X after being reposted by prominent figures, contributing to a broader disinformation campaign aimed at undermining support for Ukraine and USAID.
A video that reportedly went viral on X in early February 2025 claimed USAID paid celebrities to visit Ukraine. The clip mimicked E! News branding and included a narrator with a British accent. Individuals and organizations named denied any involvement. Researchers attributed the video to Matryoshka (AKA Operation Overload and Storm-1679), an influence campaign suspected of using AI-generated narration and editing, though tool use has not been independently confirmed.
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 AI system was used to generate a highly viral false video that misled prominent figures and millions of social media users.
The incident involved a coordinated, state-aligned influence campaign using AI-generated content to manipulate public opinion and political processes at scale.
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 incident was driven by human actors who intentionally used AI tools post-deployment to generate and spread false narratives to undermine USAID.
Added categories peak at 4: Severe (Epistemic Harm, Indirect)
A Russian-aligned influence campaign ('Operation Overload') used AI-generated voice-overs to create a fake news clip targeting USAID and US support for Ukraine. The incident represents a substantial information warfare and sovereignty threat, demonstrating how cheap AI tools can be leveraged by foreign actors to influence domestic political discourse and undermine public trust in government agencies.
The report describes the campaign pairing real images with AI-generated voice-overs to create false news clips. The AI functioned as a tool to generate synthetic audio based on direct inputs from the creators.
Limited Risk: The system generated deepfakes (AI-generated content mimicking real news and voices), which falls under transparency obligations for AI-generated content.
The AI system was used to generate synthetic voice-overs mimicking real news narrators to create deceptive video clips.
The reports from reputable sources provide clear, consistent details about the specific fake video, its origins, its reach, and the AI techniques used. The role of the AI as a tool in a broader disinformation campaign is well-documented.
None
Technology
AI-Generated Voice-Overs
AI voice-overs lowered production costs of credible-sounding fake news.
Impersonation of Trusted Brands
AI tools allowed pairing real logos with synthetic audio to deceive viewers.
Data Inputs
Lack of Content Provenance Data
Platforms lacked data to verify the origin of the E!News video clip.
Pre-seeded Influencer Networks
Disinformation was fed directly to receptive pro-Russian social accounts.
Human Factors
High-Profile Amplification
Elon Musk and others reposted the fake video, reaching millions.
Confirmation Bias of Users
Audiences hostile to USAID accepted the fake video without verifying.
Process and Methods
Inadequate Algorithmic Filtering
X failed to automatically flag or remove the synthetic media.
Delayed Fact-Checking Mitigation
Community Notes added context only after the video gained millions of views.
Management
Platform Research Tool Shutdown
Platforms disabled tools, hindering researchers from tracking disinformation.
Prioritizing Engagement Over Safety
Platform management allowed debunked fake videos to remain online.
Regulatory Environment
Defunding of Tracking Agencies
Disbanding the Global Engagement Center weakened foreign threat monitoring.
Pressure Against Content Moderation
Political pushback led platforms to scale back moderation of fake content.
AI system involved
An AI system was involved, but the reports do not identify it.
Identified by automated extraction; can differ from the alleged developers above.