The Misinformation Crisis Is Mostly a Myth

The Misinformation Crisis Is Mostly a Myth

In 2018, a team of MIT researchers published a study that seemed to confirm every parent's worst fear about the internet. False news, they announced, travels faster, farther, and deeper than the truth. The finding made headlines around the world. Politicians cited it. Journalists built entire narratives around it. It became the founding myth of the misinformation crisis.

There was just one problem. The study defined "false news" as anything fact-checkers had flagged as false. But most of what people share on social media isn't news at all. It's memes, jokes, personal updates, and videos of cats doing backflips. When Sacha Altay, Manon Berriche, and Alberto Acerbi reexamined the evidence in their 2023 paper, they found something the original study missed: people don't actually believe most of what they see online. They just share it. And sharing isn't believing.

This is the central paradox of the misinformation panic. We have spent five years treating the internet like a giant brainwashing machine, when the evidence suggests something far less dramatic is happening. People are mostly sharing dumb stuff. They know it's dumb. They don't care.

What Are We Actually Measuring When We Measure Misinformation?

The first problem is that researchers have been measuring the wrong thing. Altay et al. (2023) point out that scientists overwhelmingly focus on social media because it is methodologically convenient, not because it is the primary vector of misinformation. If you want to study how falsehoods spread, you go where the data is. That means Twitter, Facebook, and YouTube. But this creates a massive blind spot.

Think about how you actually encounter bad information. Is it through a viral tweet? Or is it through a family group chat, a YouTube video recommended by the algorithm, a podcast, a cable news segment, a conversation with a coworker? The answer is almost certainly the latter. But researchers rarely study those channels because they are harder to track.

The authors found that the internet is not rife with misinformation or news, but with memes and entertaining content (Altay et al., 2023). When you scroll through your feed, what do you actually see? Probably a photo of your cousin's new baby, a clip from a TV show you like, an ad for a mattress, and maybe one political post. That political post might be misleading. But it is surrounded by so much noise that its impact is likely small.

This is the first misconception: we have treated misinformation as a fire raging across the digital landscape when it is more like a few sparks in a wet forest.

The Great Falsehood Speed Myth

The claim that falsehoods spread faster than the truth deserves special attention, because it has become the central article of faith in the misinformation field. The MIT study that produced this finding was published in Science, one of the most prestigious journals in the world. It seemed definitive.

But Altay et al. (2023) identified a critical flaw. The study defined misinformation as anything fact-checkers had flagged as false. This definition is problematic for several reasons. First, fact-checkers focus on political content. They do not fact-check cat memes, even though cat memes are far more common. Second, the study compared false political news to true political news. But most of what people share is not political news at all. It is entertainment.

When you compare apples to oranges, you get a misleading result. The authors found that how we define misinformation influences our results and their practical implications (Altay et al., 2023). If you define misinformation as "political falsehoods," it looks like a crisis. If you define it as "anything false," it looks like background noise.

This matters because definitions shape policy. If you believe falsehoods spread faster than truth, you might support censorship, algorithmic changes, or even government regulation of speech. But if the premise is wrong, those interventions could cause more harm than good.

The Belief Fallacy

Here is where the logic gets uncomfortable. Even if we accept that misinformation spreads widely, does that mean people believe it? Altay et al. (2023) argue that the sheer volume of engagement should not be conflated with belief.

Consider your own behavior. Have you ever shared a headline without reading the article? Have you ever retweeted something because it was funny, even though you knew it wasn't true? Have you ever sent a friend a screenshot of an obviously fake story just to laugh at it? Of course you have. Everyone has.

The authors point out that people do not believe everything they see on the internet (Altay et al., 2023). This seems obvious, but the entire field of misinformation research has operated as if it were not true. Studies measure exposure to false content and assume that exposure equals belief. But exposure is not belief. Sharing is not belief. Even clicking is not belief.

Think of it this way. If I show you a photo of a shark swimming down a flooded highway after a hurricane, you might share it because it is hilarious. You know it is fake. I know it is fake. But the data shows up as "misinformation engagement." The researchers count it as evidence of a crisis. In reality, it is evidence that people enjoy absurdity.

The Uninformed vs. The Misinformed

This leads to a distinction that the authors argue is critical: people are more likely to be uninformed than misinformed (Altay et al., 2023). There is a difference between not knowing something and knowing something false.

Think about the last election. How many people believed that the election was stolen? Probably a lot. But how many people simply did not know basic facts about how elections work? Probably even more. Surveys consistently show that most people cannot name their congressional representative, do not know how many justices sit on the Supreme Court, and cannot explain the difference between a primary and a general election.

Altay et al. (2023) argue that surveys overestimate misperceptions and say little about the causal influence of misinformation. When you ask someone "Do you believe X?" they might say yes because they want to appear informed, or because they are angry, or because they think the question is testing their loyalty to a group. They might not actually believe X. They might just be performing belief.

This is not a minor methodological quibble. It is a fundamental challenge to the entire enterprise of measuring misinformation. If surveys cannot distinguish between genuine belief and performative belief, then the scale of the problem is unknown.

The Preaching to the Choir Problem

Even when people do believe false things, does that belief change their behavior? Altay et al. (2023) found that the influence of misinformation on people's behavior is overblown because misinformation often "preaches to the choir."

Think about who is most likely to share political misinformation. It is not undecided voters. It is partisans who already agree with the message. A false story about a politician you already hate does not change your mind. It confirms what you already believe. You share it to signal your identity, not to persuade anyone.

This is the opposite of how we usually think about misinformation. We imagine it as a poison that seeps into the brains of innocent people and corrupts them. But the evidence suggests it is more like a mirror. People see what they already believe reflected back at them. They nod. They share. They move on.

The authors found that misinformation has limited persuasive power because it targets people who already agree (Altay et al., 2023). This is not to say it has zero effect. But the effect is concentrated among people who are already predisposed to believe. It is not converting anyone.

What the Research Actually Shows

So what is the truth about misinformation? Let me be precise about what Altay et al. (2023) actually found, because this is where the nuance matters.

The Six Misconceptions

The authors identified six specific misconceptions about misinformation:

• ▸Misconception 1: Misinformation is primarily a social media problem. Reality: Social media is convenient to study, but misinformation exists across all channels, including traditional media, conversations, and political speeches.
• ▸Misconception 2: The internet is full of misinformation. Reality: The internet is full of memes and entertainment. News and misinformation are a small fraction of total content.
• ▸Misconception 3: Falsehoods spread faster than truth. Reality: This depends entirely on how you define falsehood. If you count only political falsehoods, the claim holds. If you count all false content, it does not.
• ▸Misconception 4: People believe what they see online. Reality: Sharing is not believing. Most engagement with misinformation is not motivated by belief.
• ▸Misconception 5: Misinformation is the main cause of misperceptions. Reality: People are more often uninformed than misinformed. Surveys overestimate belief.
• ▸Misconception 6: Misinformation changes behavior. Reality: Misinformation mostly reaches people who already agree with it. Its persuasive power is limited.

These are not small corrections. They are a systematic dismantling of the dominant narrative.

What This Does Not Prove

Before I get accused of being a misinformation apologist, let me be clear about what this research does not say.

It does not say that misinformation is harmless. It does not say that we should stop caring about false information online. It does not say that no one ever believes false things or that belief never leads to harmful behavior. The January 6th insurrection was real. Vaccine hesitancy is real. Election denial is real.

What the research says is that the scale and mechanism of the problem have been mischaracterized. The panic has outpaced the evidence. We have built a multi billion dollar industry of misinformation research, fact checking, and media literacy programs on a foundation that is shakier than most people realize.

The interesting question is not "Is misinformation a problem?" It is "How big is the problem, and what actually causes it?"

Altay et al. (2023) suggest that the causes of misperception are more complex than a simple model of "bad information enters brain, brain believes bad information." People hold false beliefs for many reasons: identity, tribalism, distrust of institutions, lack of education, cognitive biases, and yes, sometimes exposure to misinformation. But isolating the causal role of misinformation is extremely difficult, and the research that claims to do so often fails to account for confounders.

The Methodological Challenge

This is where the paper gets technical, but it is worth understanding. The authors argue that most misinformation research suffers from a fundamental methodological problem: it cannot distinguish between correlation and causation.

Consider a typical study. Researchers identify a set of false claims circulating online. They survey people about whether they believe those claims. They find that people who saw the false claims are more likely to believe them. Conclusion: misinformation causes belief.

But there is an alternative explanation. People who already hold false beliefs are more likely to seek out and engage with content that confirms those beliefs. The direction of causality is reversed. The false belief came first, and the misinformation consumption followed.

This is not a trivial problem. It is the central challenge of the entire field. And most studies do not address it adequately.

The authors found that surveys overestimate misperceptions and say little about the causal influence of misinformation (Altay et al., 2023). This is not a critique of individual studies. It is a critique of the entire research paradigm.

What This Actually Means

If the alarmist narrative is wrong, what should we do instead? Here is what the research implies for policy, journalism, and everyday life.

• ▸Stop treating social media as the primary problem. If misinformation is a symptom of deeper issues like political polarization and institutional distrust, then regulating social media will not fix it. Focus on the root causes, not the convenient scapegoat.
• ▸Distinguish between sharing and believing. When you see someone share something false, do not assume they believe it. They might be trolling, signaling, or just being lazy. The response should be different depending on the motivation.
• ▸Invest in education, not just fact checking. The research suggests people are more often uninformed than misinformed. Teaching critical thinking, media literacy, and basic civics might have a bigger impact than debunking individual false claims.
• ▸Be skeptical of crisis narratives. The misinformation panic has been good for researchers, journalists, and tech companies. It brings funding, clicks, and regulation. But it has also distorted public understanding of the problem. Ask who benefits from the alarm.
• ▸Accept that some false beliefs are not caused by misinformation. People believe things for reasons that have nothing to do with what they see online. Identity, community, and ideology are powerful forces. Misinformation is often a symptom, not a cause.

The truth about misinformation is less dramatic than the panic suggests. It is also harder to fix. There is no algorithm tweak or fact check that will solve political polarization or institutional distrust. Those are old problems, and they require old solutions: better education, stronger institutions, and a public that is skeptical of easy answers.

Including this one.