Once compromised, these accounts posted or shared manipulated videos and fabricated news reports designed to appear credible because they came from real, established profiles.
This tactic can make detection harder: audiences often assume a known account is trustworthy, allowing disinformation to spread before moderation systems or users recognize the manipulation.
Researchers use the name Matryoshka—a reference to Russian nesting dolls—to describe a layered influence operation that disguises propaganda inside seemingly credible media formats.
Also known as Operation Overload or Storm‑1679, the campaign has been observed impersonating news organizations, academics, and government institutions in order to sow confusion and distrust in democratic societies.
The strategy typically combines several techniques:
These tactics are designed to make propaganda look organic and credible rather than obviously state‑linked.
A distinctive element of the campaign is its use of synthetic or manipulated media. Analysts have identified videos and images created to resemble broadcasts or reports from Western outlets, sometimes featuring AI‑generated visuals or altered footage.
These videos often mimic the style and branding of real media organizations, making them more likely to be believed and shared before fact‑checkers can debunk them. Researchers say this approach is increasingly common in influence operations because generative AI allows convincing media to be produced quickly and at scale.
Several groups have investigated the campaign’s activity on Bluesky and other platforms.
Reporting citing these investigations has also linked the activity to the Moscow‑based Social Design Agency, though such attribution is presented as a researcher assessment rather than a confirmed legal finding.
The Matryoshka operation did not originate on Bluesky. Researchers first documented similar campaigns spreading across multiple networks, including X (formerly Twitter), Telegram, TikTok, and other platforms.
As moderation policies and user migrations change where audiences gather, influence networks often adapt by moving their operations to new platforms. Analysts say this pattern explains why Matryoshka activity has appeared on Bluesky as the network grows.
The campaign has also been connected to influence efforts around major geopolitical events and elections.
Researchers and monitoring organizations have linked related disinformation campaigns to narratives targeting:
These campaigns aim to shape political discourse, deepen polarization, and weaken trust in democratic institutions.
Bluesky has acknowledged the presence of coordinated influence activity on its platform.
The company says it has identified and removed thousands of posts tied to the operation and is developing stronger tools to detect coordinated manipulation campaigns.
According to the platform’s transparency reporting, Bluesky has also expanded monitoring systems and investigative workflows dedicated to identifying networks attempting to manipulate public discourse.
The most notable shift in the Bluesky case is the move from obvious bot networks to compromised real accounts with existing reputations. That approach can make propaganda more persuasive and harder for both users and moderation systems to detect.
As generative AI lowers the cost of producing convincing fake media, researchers expect influence operations like Matryoshka to continue evolving—moving across platforms and combining identity theft, synthetic media, and coordinated amplification to shape online narratives.
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