Social networks utilize machine learning algorithms to deliver tailored content to users based on their preferences and behaviors. Through analyzing user interactions, such as likes, shares, and comments, these platforms can identify trends and predict what content will engage users. Algorithms prioritize relevant posts in a user’s feed, enhancing their experience and driving engagement. Additionally, machine learning helps in detecting spam or offensive content, ensuring a safer environment. This personalized approach not only fosters a more engaging user experience but also increases the time users spend on the platform.