SYSTEMATIC ANALYSIS OF THE LIFE CYCLE OF DISINFORMATION IN THE DIGITAL MEDIA ENVIRONMENT

Goryachkin Boris Sergeevich, Samoylov Dmitry Evgenievich

The article explores the phenomenon of disinformation in the digital media environment through the lens of its life cycle. It examines the key stages of disinformation from strategic intent and content creation to dissemination, entrenchment, detection, and neutralization. The mechanisms of fake news circulation across social media platforms are analyzed, with emphasis on personalization algorithms, emotional manipulation, and cognitive biases. The architecture of algorithmic disinformation detection is described, including the identification of anomalous patterns, content analysis, falsification identification, alert systems, and execution control. A structured model reflecting the cyclical and iterative nature of the process is presented. The study combines theoretical and applied approaches, integrating methods for analyzing digital content, network dynamics, and machine learning technologies. The findings may serve as a basis for the development of disinformation monitoring systems and the formation of information security strategies. The study examines disinformation as a systemic process with a defined life cycle, including creation, dissemination, entrenchment, detection, and neutralization. The findings show that its effectiveness depends on the interaction between platform algorithms and audience cognitive vulnerabilities. A multi-stage algorithmic model for disinformation detection is proposed, combining anomaly detection, content analysis, and network analysis. The results highlight the importance of integrating automated tools with expert oversight and institutional responses.

Keywords:Disinformation, digital environment, life cycle, detection algorithms, fake news, cognitive biases, information campaigns, social media, machine learning, media literacy.