Social networks utilize algorithms to curate and manage content displayed to users, ensuring relevant posts are prioritized in feeds. These algorithms consider factors like user engagement, preferences, and relationships, utilizing machine learning to constantly improve recommendations. They adapt based on user interactions, analyzing likes, shares, and comments to understand content preferences. This algorithmic management enhances user experience but sometimes raises concerns about filter bubbles and echo chambers, where exposure to diverse viewpoints may be limited.