USING NEURAL NETWORKS TECHNOLOGIES TO DETECT FALSE INFORMATION

Tyurnev Aleksandr S.

The article discusses various methods for identifying false information. One of the new directions in this area is the use of neural network technologies to detect false information. In the research presented in the article such methods like analysis and synthesis were applied, as well as a systematic approach were used to design the structure of a neural network and the system as a whole. Based on the results of the research, the structure of the future system was proposed. The system will allow identifying false information with high accuracy. To develop such a system, it will also be necessary to prepare a large dataset for training the proposed models. These datasets can be selected both on real crimes and by questioning students at a university to identify illegal actions. The results of the research may be of practical interest both for law enforcement agencies and for large organizations, including the administration of educational organizations.

Keywords:false information detection, handwriting expertise, neural networks.