In the hours following the coordinated U.S. and Israeli military strikes on Iranian nuclear and military facilities, a parallel conflict erupted online — one fought not with missiles and munitions, but with fabricated videos, recycled war footage, and AI-generated imagery. The social media platform X, formerly Twitter, was inundated with a torrent of false and misleading content that spread faster than verified reporting, leaving millions of users struggling to distinguish fact from fiction during one of the most consequential geopolitical events in recent memory.
According to reporting by Wired, the platform was overwhelmed by disinformation almost immediately after the strikes began. Old footage from previous conflicts — including clips from the wars in Syria, Ukraine, and Gaza — was repurposed and presented as live coverage of the Iran operation. AI-generated images of explosions and burning buildings circulated alongside authentic posts, creating a chaotic information environment that even seasoned analysts found difficult to parse in real time.
A Platform Stripped of Its Guardrails
The scale of the disinformation problem on X during the Iran strikes did not emerge in a vacuum. Since Elon Musk’s acquisition of the platform in late 2022, X has undergone sweeping changes to its content moderation infrastructure. The company laid off or reassigned the vast majority of its trust and safety staff, dismantled its election integrity team, and rolled back policies designed to limit the spread of misleading content. The paid verification system, X Premium, replaced the legacy blue checkmark program, meaning that anyone willing to pay a monthly fee could obtain a verification badge — a marker that once signaled journalistic or institutional credibility.
The consequences of these structural changes were on full display during the Iran crisis. As Wired documented, accounts bearing blue verification checkmarks — many of them operated by partisan commentators, engagement-farming operations, or anonymous users — were among the most prolific spreaders of false content. Because X’s algorithm tends to amplify posts from verified accounts, these misleading claims received outsized visibility, often appearing in the “For You” feed of users who had no prior connection to the accounts posting them.
Recycled War Footage and AI Fabrications Flood the Feed
Among the most common forms of disinformation observed during the strikes were repurposed videos from unrelated conflicts. Footage of missile launches, anti-aircraft fire, and urban destruction — some of it years old — was uploaded with captions claiming to show real-time events in Iran. In several instances, videos originally recorded during Israeli operations in Gaza or Russian bombardments in Ukraine were repackaged with new text overlays and shared by accounts with hundreds of thousands of followers.
AI-generated content added another layer of confusion. Synthetic images depicting massive explosions over Tehran and Isfahan circulated widely, with some posts garnering millions of views before being flagged or debunked. The sophistication of some of this generated content made it difficult for ordinary users to identify it as fake, and the speed at which it spread outpaced the capacity of fact-checkers and community notes contributors to respond. Researchers at the Institute for Strategic Dialogue and other organizations tracking online disinformation noted that the volume and velocity of false content during the Iran strikes exceeded what they had observed during previous geopolitical crises on the platform.
The Collapse of Community Notes as a Corrective Mechanism
X has increasingly relied on its Community Notes feature — a crowdsourced fact-checking system — as its primary tool for addressing misinformation. Under this system, users can propose contextual notes on posts they believe to be misleading, and if enough contributors from diverse ideological perspectives rate a note as helpful, it is appended to the original post. In theory, this distributed model allows the platform to address false claims without relying on centralized editorial judgments.
In practice, however, Community Notes proved woefully inadequate during the Iran strikes. The system operates on a delay — notes must be written, reviewed, and approved before they appear — and during a fast-moving military operation, that delay meant that millions of users saw misleading content long before any corrective information was attached. As Wired reported, some of the most viral false posts accumulated tens of millions of impressions before notes were applied, and in many cases, the original posters had already moved on to new claims by the time corrections appeared.
State Actors and Influence Operations Exploit the Chaos
The disinformation environment on X during the strikes was not solely the product of individual bad actors or engagement-seeking accounts. Researchers have identified what appear to be coordinated influence operations by state-affiliated accounts — including those linked to Iranian, Russian, and Chinese information operations — that amplified specific narratives during the crisis. These accounts pushed claims that the strikes had caused catastrophic civilian casualties, that Iranian air defenses had successfully intercepted the majority of incoming missiles, and that the operation represented an unprovoked act of aggression rather than a response to Iran’s nuclear program.
The blending of state-sponsored propaganda with organic user-generated disinformation created an environment in which it was nearly impossible for the average user to assess the credibility of any given claim. Traditional media outlets, which in previous crises served as anchoring sources of verified information, found their content competing for attention with sensationalized and often fabricated posts that generated far more engagement. The algorithmic incentive structure of X — which rewards content that provokes strong emotional reactions — effectively penalized measured, factual reporting in favor of the most dramatic and alarming claims, regardless of their veracity.
The Monetization of Misinformation
A critical dimension of the disinformation problem on X is the platform’s revenue-sharing program, which pays verified users based on the engagement their posts generate. This financial incentive has created a cottage industry of accounts that specialize in posting sensational, often misleading content during breaking news events. During the Iran strikes, numerous accounts appeared to be deliberately posting false or unverified claims in order to maximize impressions and, by extension, their payouts from the platform.
This dynamic represents a fundamental structural problem. By directly compensating users for engagement rather than accuracy, X has created an economic model that actively incentivizes the production and distribution of disinformation. During a military crisis — when public anxiety is high and the demand for information is intense — this model becomes particularly dangerous, as users are most vulnerable to manipulation precisely when the financial rewards for manipulating them are greatest.
Broader Implications for Information Integrity During Conflict
The experience of the Iran strikes on X raises profound questions about the role of social media platforms during geopolitical crises. In previous conflicts — including the early stages of the Russian invasion of Ukraine in 2022 — Twitter served as a vital source of real-time information, with verified journalists, open-source intelligence analysts, and on-the-ground witnesses providing valuable reporting that complemented traditional media coverage. The platform’s content moderation systems, while imperfect, provided some degree of friction against the spread of the most egregious falsehoods.
That infrastructure has largely been dismantled. The platform that once served as a critical information utility during breaking news events has been transformed into one where the signal-to-noise ratio is so degraded that even experienced analysts express diminishing confidence in the reliability of what they encounter. Researchers at organizations including the Stanford Internet Observatory and the Atlantic Council’s Digital Forensic Research Lab have warned that the erosion of content moderation on X has created conditions ripe for exploitation by adversarial actors during moments of geopolitical tension.
What Comes Next for Real-Time Information in Crisis
The disinformation crisis on X during the Iran strikes is not an isolated incident but rather the latest and most dramatic manifestation of a trend that has been accelerating since Musk’s takeover. Each successive crisis — from the Israel-Hamas war to the 2024 U.S. presidential election to the current Iran conflict — has demonstrated the platform’s diminishing capacity to serve as a reliable source of real-time information.
For policymakers, journalists, and the public, the implications are stark. The social media platform that was once the default destination for breaking news has become a space where disinformation is not merely tolerated but structurally incentivized. As military and geopolitical crises continue to unfold, the absence of effective content moderation on one of the world’s largest information platforms represents a significant vulnerability — not just for individual users seeking accurate information, but for the broader information environment on which democratic decision-making depends. The Iran strikes have made one thing clear: the old model of relying on social media platforms to self-regulate during moments of crisis has failed, and no adequate replacement has yet emerged.
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