On April 23, 2013, financial markets reacted to breaking news that turned out to be completely false. A tweet from the official account of Associated Press claimed there had been explosions at the White House and that US President Barack Obama had been injured.
The message looked real. It came from a verified account. And it spread almost instantly.
Within seconds, trading systems and market participants picked it up. In modern markets, where speed matters, even a few moments can trigger large moves.
That’s exactly what happened.
The S&P 500 index fell drastically, losing about $130 billion in market value in just minutes. This did not happen in a slow process; rather, it was an automatic response to the news.
This happens through the use of algorithms
that scan headlines and social media posts for certain words. Terms like “explosion,” “White House,” and “injured” are exactly the kind of triggers that signal risk.
The response was immediate. But the recovery was just as fast.
Within about three minutes, the Associated Press confirmed that its account had been hacked and that the tweet was false. The White House also denied the claim.
Markets reversed quickly, with prices recovering almost to where they had been before the tweet.
What stood out was not just the speed of the fall, but the reason behind it.
There had been no economic event, no policy announcement, no actual crisis. The reaction was based entirely on a piece of misinformation that appeared credible for a short time.
The incident highlighted how closely markets are tied to information, and how quickly they can respond—even when that information is wrong.
It also showed how much influence automated trading had begun to have. Unlike human traders, machines don’t pause to verify. They react to signals.
In this case, one false message from a trusted source was enough to move one of the world’s largest stock indices.
The tweet was deleted. The account was secured. The markets stabilised.
But for a few minutes, a message that wasn’t real was enough to shake global markets—and erase billions on paper before anyone could stop it.





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