Unmasking Search Engine Spam: Machine Learning Techniques for Detecting Algorithmically Generated Content

Abstract

We propose a new way to spot search engine spam created by computer programs. Our method looks at how often certain writing styles and genres appear in a text. We use machine learning to automatically identify spam based on these patterns. Experiments show that our method can successfully detect spam created by a common type of text generator called a Markov chain.