Social media algorithms determine content visibility by analyzing user interactions, such as likes, comments, and shares. They utilize machine learning to evaluate the relevance and engagement level of posts, tailoring what appears in users' feeds based on their preferences and behavior. Factors like post recency and the strength of connections also play significant roles. This personalization enhances user experience but can create filter bubbles, limiting exposure to diverse viewpoints. Consequently, content creators must constantly adapt to these algorithm changes to ensure that their messages reach the intended audience effectively.