METHOD FOR DETECTING FALSE INFORMATION FROM SOCIAL INFORMATION SERVICES USING THE REALITY PARAMETER

Currently, social information services (SIS) have become one of the important sources of
information and allow any user to distribute information without restrictions, which makes it difficult
to determine the degree of reliability of information. Revealing unreliable facts from the news
using artificial intelligence methods is a difficult problem. To solve this problem, it is necessary to
apply several existing models with the calculation of the reality parameter and recognition accuracy,
as well as to develop a new algorithm for detecting fake news. The use of effective tools for
identifying false information in the SIS and the corresponding algorithm is considered in support
and decision-making systems, when determining the degree of information reliability