INTELLIGENT METHOD OF DETECTING SOURCES OF MULTILINGUAL MISINFORMATION

Abstract

 In today's world, the issue of disinformation is becoming particularly relevant, as fake news can have a serious impact on public opinion and political processes. This paper introduces a developed Intellectual method of identifying sources of multilingual disinformation published on the internet. The method is based on the application of machine learning algorithms and natural language processing technologies for text analysis, vectorization, text similarity determination, and classification. A distinctive feature of the method is its ability to operate in real-time, adapt to new formats of disinformation, and analyze texts in different languages. The paper details the main stages of the developed method, its structure, and comparisons with existing analogs. The results of the work may be useful for scientists dealing with disinformation detection issues, as well as for developers of monitoring and content analysis systems on social networks and other platforms.