Misinformation and How It Spreads

In 2016, researchers at MIT studied how true and false news stories spread on Twitter. Their finding was alarming: false stories spread faster, further, and to more people than true ones — by a large margin. A false story was 70 percent more likely to be retweeted than a true story. And the difference was not bots or automated accounts. It was mostly real people. Understanding why false information spreads so effectively — and how AI tools have dramatically accelerated that spread — is essential for navigating the modern information environment.

Misinformation vs. Disinformation

Two terms appear constantly in conversations about false information, and they mean different things. Misinformation is false information spread without the intent to deceive. Someone shares a wrong claim because they believe it, not because they are trying to manipulate anyone. They read something online, thought it was true, and passed it along. The harm is real, but the motivation was not malicious. Disinformation is false information spread deliberately to mislead. A government creates fake stories about an enemy country. A company spreads false claims about a competitor. An activist group fabricates evidence to advance a political cause. Disinformation is a weapon — the people spreading it know it is false. Much misinformation actually starts as disinformation: someone deliberately creates and plants a false story, and then ordinary people who believe it carry it forward without knowing its origin.

Why False Information Spreads Faster Than True Information

The MIT study did not just find that false news spreads faster — it found why. False stories tend to be more novel and emotionally arousing than true ones. They contain surprising information, dramatic claims, and strong emotional triggers — outrage, fear, disgust, and hope. True stories about real events are often more complex, more ambiguous, and less immediately satisfying. Social media platforms are built around engagement — likes, shares, comments, and reactions. Content that triggers strong emotions gets more of these responses. False or exaggerated content is often better at triggering engagement than nuanced, accurate reporting. This means the architecture of social media inadvertently rewards sensational claims over careful ones. There is also a psychological effect called the illusory truth effect: the more times you encounter a claim, the more familiar it feels — and familiarity is easily confused with truth. A false claim repeated often enough starts to feel true simply because it is familiar.

How AI Has Changed the Scale

Historically, spreading coordinated misinformation required significant human effort — writers to create content, networks of fake accounts, and resources to amplify. AI tools have dramatically lowered the cost of all of these. AI can now generate thousands of unique-sounding articles, social media posts, or comments on a topic in minutes. Instead of one false story, a bad actor can flood the internet with hundreds of variations on the same false claim, making it appear to have been independently discovered and reported everywhere. This is sometimes called an information flood: overwhelming a topic with so much content — true, false, and everything in between — that people cannot tell what to believe and eventually stop trying. The goal is not always to make people believe the false thing, but to exhaust and confuse them about what is real. AI-generated synthetic media (deepfakes, fake photos) also give misinformation campaigns convincing visual evidence they never had before. A claim that once would have seemed absurd can now come with what looks like a photograph.