Iranian-American creator Mahdi Hemmat and the group Explosive Media are using AI-generated Lego-style rap videos to spread pro-Iran narratives [1].
This strategy represents a shift in digital warfare, where AI-driven entertainment is used to bypass traditional propaganda filters and reach Western audiences through viral trends. By blending pop culture with political messaging, these creators can shape public perception of geopolitical conflicts in a way that traditional state media cannot.
The videos emerged in 2024 following the announcement of a fragile cease-fire between the U.S. and Iran [2, 3]. The content utilizes a distinct Lego-inspired aesthetic to deliver satirical rap songs that mock U.S. President Donald Trump and promote viewpoints favorable to the Iranian government [1, 4].
These memes focus on the complex dynamics of the Iran-U.S.-Israel conflict, utilizing AI tools to create high-engagement visuals that blend humor with political agendas [1, 5]. The content is designed to counter Western narratives and present an alternative perspective on the regional struggle [3, 6].
The campaign has found significant traction on social media platforms, particularly YouTube, where the videos have amassed millions of views [1]. This reach allows the creators to target a global audience through the algorithmic promotion of short-form, visually stimulating content [1, 2].
Explosive Media and Hemmat have utilized these tools to transform political discourse into digital entertainment [1]. The use of AI allows for the rapid production of content that can react to real-time diplomatic developments, such as the 2024 truce, to keep the messaging relevant to current events [2, 3].
“The videos have amassed millions of views.”
The rise of 'meme warfare' via generative AI indicates a transition toward more subversive forms of influence operations. By disguising propaganda as satire or entertainment, state-linked actors can penetrate demographic groups that typically ignore official government communications, making the disinformation harder to detect and more likely to be shared organically.
