This study is an agent-based simulation:
The researchers used a type of math called “agent-based modeling” to simulate how people’s opinions change over time. They focused on a model where individuals can believe the truth, the fake information, or remain undecided. The researchers created a network of connections between these individuals, similar to how people are connected on social media.
They used the binary agreement model to understand the “tipping point” (the point where a small change can lead to significant effects) and how disinformation can spread.
Personally, I love agent-based models. I think agent modeling is a very, very powerful tool for systems insight, but I don't like this article's interpretation, nor am I convinced the author of this article really groks what agent-based modeling really is. It's a very different kind of "study" than what most people mean when they use that word, and interpreting the insights is its own can of worms.
Just a heads up, for those of you casually scrolling by.