alt Hacker NewsThey seem to artificially create filter bubbles, echo chambers and rage. They do that just for the money. They divide societies.
For example:
(Trap of Social Media Algorithms: A Systematic Review of Research on Filter Bubbles, Echo Chambers, and Their Impact on Youth)
> First, there is a consistent observation across computational audits and simulation studies that platform curation systems amplify ideologically homogeneous content, reinforcing confirmation bias and limiting incidental exposure to diverse viewpoints [1,4,37]. These structural dynamics provide the “default” informational environment in which youth engagement unfolds. Simulation models highlight how small initial biases are magnified by recommender systems, producing polarization cascades at the network level [2,10,38]. Evidence from YouTube demonstrates how personalization drifts toward sensationalist and radical material [14,41,49]. Such findings underscore that algorithmic bias is not a marginal technical quirk but a structural driver shaping everyday media diets. For youth, this environment is especially influential: platforms such as TikTok, Instagram, and YouTube are central not only for entertainment but also for identity work and civic socialization [17]. The narrowing of exposure may thus have longer-term consequences for political learning and civic participation.