Algorithms influence what content users see online by personalizing experiences based on data analysis. They assess user preferences, behaviors, and interactions to curate feeds that align with individual interests, leading to increased engagement. This selective exposure can reinforce existing beliefs and limit exposure to diverse viewpoints, contributing to echo chambers. As platforms prioritize content that generates more interactions, their algorithms evolve, shaping the information landscape. Understanding these influences is crucial for users to navigate their digital environments critically, promoting awareness of potential biases in content delivery.