Mathematical and algorithmic support for the early detection process automation of potentially dangerous content in Internet resources

Abstract

Abstract A mathematical formalization of procedures for the process of potentially dangerous content early detection by the degree of user responsiveness to the content is proposed. In this regard, a methodology for determining the list of resources scanned during monitoring and ranking them according to the degree of user involvement is recommended. The corresponding average daily metrics of commentability, approval and replication in terms of the content unit of the resource under study are proposed. Registration of potentially dangerous content is planned to be carried out in comparison with regular indicators of dynamics popularity acceleration for analyzed content unit. The proposed software can be successfully used in monitoring the Internet space in the context of struggling with destructive content.