spam detection algorithms

Spam detection algorithms identify unwanted or deceptive messages by analyzing their content, sender behavior, and patterns. They use techniques like pattern recognition and machine learning to distinguish between legitimate messages and spam. For example, they can recognize common words, suspicious links, or unusual sending habits. Over time, they learn to improve accuracy, reducing false positives and catching new types of spam. Essentially, these algorithms act as filters, automatically sorting emails or messages to keep your inbox free of unwanted content.