Algorithms influence online content recommendations by analyzing user behavior, preferences, and interaction patterns. These algorithms utilize machine learning techniques to process large volumes of data, identifying trends and predicting what content is likely to engage users next. By constantly refining their models based on user feedback, algorithms can provide personalized recommendations that enhance user experience and increase content consumption. This personalization not only improves user satisfaction but also drives higher engagement rates, thereby benefiting content creators and platforms through increased visibility and audience retention.