Recommendation Systems Became Political the Moment They Began Controlling Visibility

This story was originally published on HackerNoon at: https://hackernoon.com/recommendation-systems-became-political-the-moment-they-controlled-visibility. What emerges from reading patents filed by companies like Google and Meta is not a vague idea of “recommendation,” but a very specific operational logic. Check more stories related to media at: https://hackernoon.com/c/media. You can also check exclusive content about #recommendation-algorithms, #machine-learning-algorithms, #social-media-algorithms, #hypertext, #hypertextuality, #ai-personalization, #content-ranking-systems, #hackernoon-top-story, and more. This story was written by: @andreimochola. Learn more about this writer by checking @andreimochola's about page, and for more stories, please visit hackernoon.com. Across these systems, a consistent pattern becomes visible. User interactions are continuously recorded and interpreted; multiple predictive models are evaluated against one another; and content is ranked according to the probability that it will elicit further engagement. What is ultimately presented to the user is not simply related information, but the outcome of a series of probabilistic decisions about what should come next.