AI is helping turn the Iran conflict into a spectacle made to be watched and shared—but the performance is bigger than deepfakes. It includes synthetic scenes, cartoon characters, memes, recycled footage, parody and edited official videos. These formats compete to shape how audiences see the conflict. High view counts show reach, not that viewers believed a message or that it changed events on the ground.
What “theater” means in the Iran conflict
Here, “theater” describes conflict messaging designed for an audience: vivid, recognizable and easy to circulate online. AI can help produce images, videos, characters, scripts and campaign materials, but it is only one part of the spectacle. A real strike clip cut together with movie footage, an old joke recast as current news, or an obviously fictional animation can all carry a political narrative without being a convincing fake.
The Reuters Institute’s account of the conflict describes sharply different visual styles. White House accounts paired strike footage with references to Top Gun, Braveheart and Wii Sports, projecting military dominance and authority. Iranian messaging included Lego-style animations, stylized music videos, parody, fabricated deepfakes and old humorous clips. The contrast is about presentation and narrative; it does not establish how audiences responded.
Atlantic Council Digital Forensic Research Lab strategy director Emerson T. Brooking described the White House approach as “sizzle reels and supercuts that incorporate video game imagery and periodic uses of AI.” He contrasted that with the Lego videos, which he said were novel enough to keep people watching. He also warned that some of the U.S. clips presented a sequence of destruction without a story, with an implicit threat. Human Rights Watch’s Sam Dubberley cautioned that presenting combat through playful or entertaining lenses can “dehumanise and desensitise the public to civilian harm.”
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What kinds of content are circulating?
| Format | What it can do | What to check |
|---|---|---|
| Synthetic scenes or characters | Use AI-generated imagery, animation or familiar visual styles to make a narrative memorable and shareable. | Look for the original account and source, and check whether the scene is presented as fiction, commentary or documentary evidence. |
| Deepfakes or synthetic statements | Make a person appear to say or do something they did not. | Seek the full statement from an authentic channel and corroboration from independent reporting; a detector alone is not proof. |
| Memes, parody and cartoons | Mock opponents, communicate a political position or invite remixing. They may be openly fictional rather than intended to deceive about a specific event. | Separate the joke or opinion from any factual claim embedded in its caption or repost. |
| Recycled or miscaptioned footage | Give old, unrelated or game footage the appearance of current combat. | Check the earliest available upload, date, location and whether credible sources identify the same scene. |
| Edited official messaging | Combine genuine footage with music, entertainment references or dramatic cuts to frame events as spectacle. | Find the original video and consider what was omitted or added by the edit. |
The Associated Press reported an AI-generated video falsely showing a building in Bahrain as having been hit in an Iranian attack. It also described old footage passed off as current, video-game clips represented as real, and misleading material from opportunistic users with no established state affiliation. The common risk is not simply that an image is synthetic: genuine footage can also be stripped of its date, place or context.
Who is making the content—and what is known about attribution?
Attribution is specific to an operation, not a verdict on every account sharing a particular narrative. The cases reported by Global Affairs Canada, the Institute for Strategic Dialogue (ISD), Anthropic and the Associated Press involve different actors and different levels of evidence.
Rank #2
| Case | What the source reports | Attribution and limits |
|---|---|---|
| Explosive Media | Global Affairs Canada says the operation began on Telegram and Instagram on June 25, 2025, with one-minute Farsi videos about the then-ongoing “12 Day War.” Canada describes a later shift to youth-oriented visual formats and activity across mainstream platforms. | Canada describes Explosive Media as state-linked. It assesses that the videos were likely the most widely viewed foreign information operation since the start of 2026; that is Canada’s assessment, not an independently established ranking. |
| BRICS4CLICKS and Verified4War | ISD studied two coordinated but distinct networks on X, each with roughly 20 accounts; membership changed as accounts were removed and replacements appeared. ISD cites in-network reposting, metadata and similarities in account names and locations as evidence of coordination. | ISD says it found no further evidence that either network was state-backed, and that financial versus ideological motivation remained unclear. Coordination does not by itself establish government direction. |
| Three accounts using Claude | Anthropic’s September 2026 threat report says it identified and removed three Iranian state-aligned accounts that used Claude for influence-operation planning and content workflows. It reports assistance with manuals, personas, target databases, campaign plans and content in Farsi, Arabic, Urdu, Malay, Spanish and English, with a broader plan for 20 languages. | This is Anthropic’s account of its own investigation and enforcement, not an independent audit. The report says some content aimed to make state-backed narratives appear independent, with distribution on Iranian domestic services and major international platforms. |
| Misleading clips shared online | The Associated Press describes false or miscaptioned material, including the fabricated Bahrain video, and notes that some content came from opportunistic users. | Not every false post is attributable to a state. A clip’s political usefulness or the identity of an account sharing it is not, on its own, proof of who created or directed it. |
How far did the content reach?
ISD counted more than one billion views, about 16 million likes and 3.5 million reposts for posts from the two coordinated pro-Iran networks it studied on X during the first month of the war. The figures describe platform engagement, not verified belief change, political behavior or battlefield effect. ISD also reported that at least 80% of reposts originated within the same network, and that accounts bought X Premium subscriptions for verification while posts appeared in the For You feed. Diplomats and commentators shared some material, but ISD said it had no further evidence the networks were state-backed.
Global Affairs Canada, citing ISD’s broader assessment, also reported more than a billion views in the first month of the conflict for Iran’s AI-driven operations, including formats such as Minecraft and Pixar-style characters. That figure concerns a broader set of operations and should not be conflated with ISD’s count for the two specific X networks. In both cases, views measure exposure as reported by the cited source; they do not show whether people accepted the content or were persuaded by it.
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Why the spectacle matters—and what the evidence does not prove
Entertainment formats can make political messaging easier to notice, remember and share. Humor and parody can ridicule an opponent; dramatic edits can signal power; familiar characters can package a claim for audiences who might not engage with a conventional statement. These are plausible functions of the formats documented by the Reuters Institute and Global Affairs Canada, not proof that a particular campaign successfully changed public opinion.
The information environment also has gaps that make verification harder. The Associated Press reports censorship and limited access to information from people in Iran, alongside state-linked and opportunistic misinformation. When independent accounts from affected communities are difficult to obtain, fabricated or decontextualized material has more room to circulate. A viral clip may fill an information vacuum without being reliable evidence.
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The Centre for Emerging Technology and Security at The Alan Turing Institute places AI-generated content within a wider crisis-information threat, including manipulation of how chatbots and social platforms relay information. Its 2026 report drew on case studies, interviews with 25 cross-sector experts and a tabletop exercise, and included the 2025 Israel-Iran conflict among its cases. That work identifies risks; it does not establish that AI alone caused offline harm in this conflict.
Quick Recap
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How to check whether a viral Iran-war video is real
- Pause before sharing. A dramatic clip, familiar animation style or large view count is not evidence that the depicted event happened.
- Trace the post to its source. Find the earliest available upload rather than relying on a repost. Check who published it, whether the account identifies its source, and whether the clip is labeled as satire, animation or commentary.
- Check date and location. Look for landmarks, signs, weather, language and other contextual details, then compare them with credible reports. A real image can still be old or from somewhere else.
- Find corroboration independent of the viral post. Search for reporting or statements from sources with access to the event. If only copies of the same clip repeat the claim, that is not independent confirmation.
- Separate the footage from the caption. Ask whether the video itself shows the claimed event, and whether the caption adds a date, location, cause or attribution that the footage cannot establish.
- Treat AI detection as one clue, not a verdict. Synthetic-media detectors can inform an assessment, but the AP’s examples of recycled and miscaptioned clips show why source tracing and corroboration matter even when footage is not AI-generated.
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