Information Filtering is the process of selecting and presenting relevant information to users while excluding unnecessary data. This technique helps individuals manage the overwhelming amount of information available, especially in digital environments like social media and news platforms. By using algorithms and user preferences, information filtering systems can tailor content to match a person's interests and needs. Common applications include recommendation systems on streaming services and email filters that sort messages into categories, ensuring users receive the most pertinent information efficiently.