For example, when a video receives a large number of views or likes, it often attracts even more attention. Users may watch it simply because many others already have. In this way, popularity itself becomes a guide for behaviour.
Recommendation systems can reinforce this effect. Algorithms often prioritise content that is already performing well, showing it to even more users. As a result, the actions of many users gradually shape what becomes visible across the platform. Certain types of content appear more frequently, while others become less visible.
Most users do not consciously decide to follow these patterns. They simply respond to what seems popular, interesting, or widely accepted.
In this way, digital behaviour is not shaped only by the design of the interface. It is also shaped by the visible actions of other users, creating powerful social cues that quietly guide how people participate online.