Social media platforms utilize algorithms to curate content by analyzing user behavior and preferences. These algorithms process vast amounts of data, taking into account factors such as likes, shares, and comments. By ranking content based on relevance and engagement potential, they create personalized feeds tailored to individual users. This can enhance user experience but may also lead to filter bubbles, where users are exposed only to perspectives aligned with their interests, potentially limiting broader discourse.