Google’s Research Paper Describe Content Algorithm Identifying Page Quality

In a recent groundbreaking research paper, Google describes an AI-based algorithm that identifies page quality akin to the helpful content signal. This algorithm has low-quality pages, spam content, and machine-generated content detection capabilities. The signal can handle web-scale analysis and uses only low resources. It is also said to be self-learning to identify low-quality content. Not a company to divulge the details of its popular algorithms, Google does not specify if this algorithm is the same as the helpful content signal. Speculations are rife in the tech community about the similarities between both. The company describes the signal as a series of improvements that are not spam action or manual action and can improve classifiers, rank content, and check if humans make the content.