A detection method for mass-generated unnatural texts based on the topical structure analysis

Web spam is considered to be one of the greatest threats to modern search engines. Spammers use a wide range of algorithms to generate multiple unnatural texts. A new general model for texts generated from samples of natural texts is proposed. A new algorithm for detecting unnatural texts based on the topical structure analysis is also proposed. The proposed algorithm is evaluated on synthetic and real-world data.