Polymarket built its reputation on a simple premise: crowds are smart, and money makes them honest. Bettors stake real dollars on the outcomes of elections, geopolitical crises, and cultural events, and the resulting odds often prove more accurate than polls or punditry. The platform became a darling of Silicon Valley and Wall Street alike during the 2024 U.S. presidential election, when its markets called the race for Donald Trump well before traditional forecasters. It was, for a moment, the rare crypto-adjacent venture that seemed to deliver on its promises.
That moment may be over.
In recent months, Polymarket has bolted a social media feed onto its prediction markets — a feature that lets users post commentary, share links, and argue about the events they’re betting on. The result, as The New York Times reported, has been a torrent of misinformation, conspiracy theories, and partisan rage that is corroding the very thing that made the platform valuable in the first place: its signal.
The social feeds, which Polymarket introduced in stages beginning in late 2025, appear beneath each market. Users can post text and images, reply to one another, and upvote or downvote contributions. The design is familiar to anyone who has scrolled through Reddit or the comment sections of financial platforms like Stocktwits. But the content has taken on a character all its own — one that blends the speculative fervor of meme-stock communities with the ideological intensity of political Twitter.
According to the Times investigation, the feeds have become vectors for false claims about election fraud, fabricated government statistics, doctored screenshots of news articles, and coordinated campaigns to move market prices through disinformation rather than genuine analysis. In one documented case, a group of users flooded the comments section of a market on U.S. inflation data with fabricated Bureau of Labor Statistics releases, apparently in an attempt to panic other bettors into selling their positions. In another, a market tracking whether a particular world leader would survive a no-confidence vote was overtaken by posts sharing AI-generated images purporting to show the leader fleeing the country.
These aren’t edge cases. The Times reviewed thousands of posts across dozens of active markets and found that misleading or outright false content appeared in the majority of high-traffic feeds. Polymarket’s moderation infrastructure, the paper reported, consists of a small team supplemented by automated filters — a setup that has proven wholly inadequate for the volume and sophistication of the content flowing through the platform.
The company’s CEO, Shayne Coplan, did not respond to the Times’ requests for comment. A Polymarket spokesperson told the paper that the company is “committed to maintaining the integrity of our markets” and is “actively investing in moderation tools and community standards.” The statement did not address specific instances of misinformation documented in the reporting.
So how did a platform built on the wisdom of crowds become a breeding ground for the opposite?
The answer lies in a fundamental tension that Polymarket — and, frankly, the broader prediction market industry — has never fully resolved. Prediction markets work because participants have skin in the game. The theory, rooted in decades of academic research, holds that when people must wager real money on their beliefs, they’re incentivized to be accurate rather than tribal. Ideology gets expensive fast when you’re on the wrong side of a bet.
But social feeds introduce a second set of incentives entirely. On a social platform, the currency isn’t accuracy. It’s attention. Provocative claims get upvotes. Conspiracy theories generate engagement. And on a platform where users are already primed to think in terms of probabilities and edge, a well-crafted piece of disinformation doesn’t just attract eyeballs — it can move money. The social layer, in other words, doesn’t complement the market mechanism. It undermines it.
This is a pattern the technology industry has seen before. Every platform that has grafted social features onto a transactional core — from eBay’s community forums in the early 2000s to Robinhood’s social trading experiments — has discovered that conversation and commerce obey different logics. The conversations tend to degrade. The commerce tends to follow.
What makes Polymarket’s case particularly concerning is the nature of the markets themselves. Many of the platform’s most active contracts involve politically sensitive topics: elections, government policy, geopolitical conflicts, criminal investigations. These are precisely the subjects most susceptible to organized disinformation campaigns, and precisely the subjects where bad information can do the most damage — not just to bettors’ wallets, but to public understanding of real-world events.
The platform’s growing influence makes this more than an academic concern. Polymarket’s odds are now routinely cited by major news organizations, including this one, as a barometer of informed opinion on breaking events. Bloomberg terminals display Polymarket data. Political campaigns monitor the platform’s election markets. When Polymarket’s social feeds fill with false claims and those claims influence market prices, the distortion doesn’t stay contained within the platform. It leaks into the broader information environment.
And the leakage is already happening. The Times documented several instances in which false narratives that originated or gained traction in Polymarket’s social feeds were subsequently amplified on X (formerly Twitter) and other social platforms, often with screenshots of the Polymarket odds attached as supposed evidence of the claims’ credibility. The circular logic is elegant in its destructiveness: fabricate a claim, use it to move a prediction market, then cite the market movement as proof the claim is true.
This dynamic has drawn the attention of researchers who study information manipulation. Renée DiResta, a scholar who has written extensively on computational propaganda, noted in a recent post on X that prediction markets with social features create “a novel attack surface for information operations.” The combination of financial incentives and social amplification, she argued, makes these platforms uniquely attractive targets for actors seeking to manipulate public perception — whether for profit, ideology, or both.
Polymarket is not unaware of the problem. The company has taken some steps to address it, including introducing a reporting mechanism for false content, hiring additional moderators, and experimenting with algorithmic ranking systems that prioritize posts from users with strong track records of accurate predictions. But these measures have been incremental, and critics say they amount to playing whack-a-mole against a structurally embedded problem.
The structural issue is this: Polymarket’s business model depends on engagement. More users, more bets, more trading volume — that’s what drives revenue and justifies the company’s valuation, which reached an estimated $2 billion after a funding round led by Peter Thiel’s Founders Fund in 2024. Social feeds are an engagement machine. They keep users on the platform longer, encourage repeat visits, and create the kind of community stickiness that venture capitalists love to see in growth metrics. Removing or significantly restricting the feeds would mean sacrificing engagement. And in the current funding environment, that’s a sacrifice few startups are willing to make.
There’s a deeper philosophical question here, too. Prediction markets have long been championed by a particular strain of techno-libertarian thought that holds markets as the ultimate information-processing mechanism — superior to experts, institutions, and democratic deliberation. Robin Hanson, the economist who has done more than anyone to popularize prediction markets, has argued for decades that “betting markets” should replace much of the apparatus of government decision-making. The idea is seductive in its simplicity: let people bet, and the truth will emerge.
But Polymarket’s social feed debacle suggests the picture is more complicated. Markets can be manipulated. Participants can be deceived. And when you add a social layer that rewards deception with attention and attention with profit, the self-correcting mechanism that prediction market advocates rely on can break down. The wisdom of crowds depends on the independence of the crowd’s members. Social feeds, by their very nature, destroy that independence. They create herding, groupthink, and information cascades — exactly the dynamics that make crowds stupid rather than smart.
None of this means prediction markets are worthless. They remain, in many contexts, a genuinely useful tool for aggregating dispersed information. The problem is specific to the hybrid model Polymarket has chosen: a prediction market that also wants to be a social network. It’s trying to be two things at once, and the two things are working at cross purposes.
Regulators are watching. The Commodity Futures Trading Commission, which has jurisdiction over prediction markets in the United States, has already taken action against Polymarket once — the company paid a $1.4 million fine in 2022 for operating without proper registration. The CFTC has since allowed certain prediction markets to operate under limited frameworks, but the agency has signaled that it’s monitoring platforms for market manipulation. Social-media-driven disinformation campaigns that move contract prices could easily fall within the CFTC’s enforcement mandate.
Internationally, the picture is even more fraught. Polymarket is technically domiciled outside the United States and restricts U.S. users from trading on certain markets, though enforcement of these restrictions has been inconsistent. European regulators, who have taken an increasingly aggressive stance toward both crypto platforms and social media companies, have not yet moved against prediction markets specifically — but the combination of financial trading, social media, and misinformation is precisely the kind of cocktail that tends to attract regulatory attention in Brussels.
For Polymarket, the path forward is unclear. The company could strip out the social features and return to its roots as a pure prediction market. That would likely solve the misinformation problem but would also eliminate a key driver of user growth and engagement. It could invest heavily in moderation — hiring hundreds of content reviewers, building sophisticated detection systems, imposing strict community standards. But that’s expensive, and it transforms a lean crypto startup into something that looks a lot more like Meta or X, with all the content-moderation headaches those companies face.
Or it could do nothing and hope the problem resolves itself. That’s the most likely outcome in the short term. And it’s the most dangerous one.
The prediction market industry is at an inflection point. Kalshi, Polymarket’s main U.S.-regulated competitor, has so far avoided adding social features to its platform, a decision that looks increasingly prescient. But the competitive pressure to add engagement-driving features is real, and if Polymarket’s user numbers continue to grow despite — or because of — the chaos in its feeds, other platforms will face pressure to follow suit.
The stakes extend beyond any single platform. Prediction markets have the potential to become a genuinely important part of the information infrastructure — a way for society to aggregate beliefs about uncertain events in a rigorous, quantifiable way. But that potential depends entirely on the integrity of the signal those markets produce. If the signal gets corrupted by the very social features designed to make the platforms more engaging, then prediction markets will become just another noisy channel in an already deafening information environment. Another place where the loudest voices win, regardless of whether they’re right.
That would be a loss. Not just for Polymarket’s investors or its users, but for anyone who believed that better tools for collective intelligence might help us make sense of an increasingly complex world.
The crowd can be wise. But only if it’s allowed to think.
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