Scientists Find a Math Trick to Make Anyone More Influential Online
Your posts could reach millions — but so could a skilled manipulator's.
A team of researchers has published a new mathematical method for making one particular person more influential inside a social network — not by writing better posts, but by quietly changing who is connected to whom. Their paper models how opinions spread through a group, where some people are "stubborn" (they hold their view no matter what) and everyone else gradually drifts toward the views of the people around them. The goal: figure out how to make a chosen person's opinion win out.
The trick is what they call "edge modification," which is basically a fancy word for editing the links between people. Think of it like a recommendation system: if a platform suggests you follow someone, that new link nudges your opinion toward theirs. The researchers found a rule that identifies which new links always increase a chosen person's influence, and it holds up even when people's stubbornness or the strength of their connections changes. They then built a step-by-step recipe for picking the best set of links to add, with a fast approximate solution, and tested it on simulated networks.
Here's the honest catch. This is pure theory and simulation — no real platform, no real users, no field test. The networks they used are randomly generated, not Facebook or TikTok. And the method is essentially a blueprint for influence manipulation, which cuts both ways: it could help a small charity get heard, or help a propaganda campaign quietly reshape what millions believe. There's no built-in ethical guardrail in the math itself.
So why should you care? Because the machinery that decides what you see — follow suggestions, "people you may know," recommended accounts — is already doing a crude version of this. This paper just shows how precisely it could be done, and how resilient the effect is. You probably won't notice it happening. That's exactly what makes it powerful, and worth watching as platforms and regulators argue over how much control algorithms should have.
- The paper describes a way to boost one person's influence by changing network connections — like controlling who gets recommended to follow whom.
- The effect survives changes in how stubborn people are, making it a fairly reliable recipe rather than a fragile trick.
- It's only been tested in computer simulations, and the same technique could be used to spread misinformation, not just good ideas.
Why It Matters
The feeds deciding what you see already shape your opinions — this shows how deliberately that could be engineered.