The Rage Engine: How Social Media Algorithms Turn Us into Outrage Machines A recent study published in the Proceedings of the National Academy of Sciences (PNAS) has shed light on the dark underbelly of social media algorithms, revealing that they prioritize content designed to incite rage and outrage.
This phenomenon disproportionately affects Democrats. The research found that the algorithm used by X favors posts that elicit strong emotions, particularly anger.
This is achieved through a complex feedback loop: users engage more with content that infuriates them, which in turn serves up even more provocative material.