Identifying Online Spam Using Artificial Intelligence

Abstract

Preventing spam is becoming increasingly crucial as online commerce and communication grow quickly because it helps to keep people secure and websites reliable. Finding and lowering internet spam increasingly depends critically on artificial intelligence (AI). This paper describes how artificial intelligence detects spam now by use of methods like machine learning, language interpretation, and pattern recognition. AI can combine unsupervised approaches to identify odd behavior with supervised learning using labeled data. Among the difficulties include spotting fresh spam compositions and keeping precise real-time detection. By means of improved spam detection capability of artificial intelligence, researchers want to increase online platform security and thereby influence people's internet use.