Quarterly journal published in SPbPU
and edited by prof. Dmitry Zegzhda
Peter the Great St. Petersburg Polytechnic University
Institute of computer sciences and technologies
information security of computer systems
Information Security Problems. Computer Systems
Published since 1999.
ISSN 2071-8217
METHOD FOR DETECTING FALSE INFORMATION FROM SOCIAL INFORMATION SERVICES USING THE REALITY PARAMETER
V. A. Ilinykh, A. V. Desyatykh, V. V. Telbuh Military Space Academy A. F. Mozhaisky
Annotation: 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.
Keywords: open sources of information, social information services, false information, reality parameter.
Pages 17-25