I show that online marketplaces, by algorithmically controlling consumers' attention, have the incentives and ability to either facilitate or prevent algorithmic collusion, depending on their business model. I also explore platforms' dual role.
I show that algorithms can learn reward-punishment schemes that are fully independent from the rival’s actions and I propose a model-free test for algorithmic collusion based on historical data.