An Ontological Approach to Detecting Fake News in Online Media

Abstract

An ontological approach to the detection of fake news on social media and the identification of networks for the dissemination of this news is proposed. The content distributed in social media is formalized and also created tools for analyzing networks in social media that distribute fake content. Scheme of analysis of news from web resources using indicators of fake assessment is shown. Detection of fake information, taking into account the peculiarities of its distribution through the relevant pages in social networks is implemented using methods of analyzing the structure of information in the process of their dissemination or duplication. Detection of fake information based on its distribution is formulated as a task of multitasking classification of information obtained from different data sources. The reliability of the information is determined based on its proximity to the root distribution node, taking into account the current time characteristics.