Abstract
The search for reliable sources during the analysis, preparation and decision-making on the information publication has become resource-intensive with the evolution of the digital era. The proposed automated fact and partial distortion, forgery, falsification checking systems have low scores of accuracy and explain ability applied to social media. Involving people in the verification makes the process more accurate, but leads to delays. Automatic ranking framework of search engines is based on the parameters of reputation, image, information release time, consistency, without taking into account the role of the primary source and its attributes. In the course of the study, we show that work on AI is far from complete and human intervention is necessary at all levels of training, since automatically collected parameters and data are not enough at the current stage of AI development.