CURRENT RESEARCH OF INFORMATION INFLUENCES IN SOCIAL NETWORKS

Modern social networks play a significant role in shaping public opinion and spreading information flows. With the development of artificial intelligence and machine learning technologies, the ability of platforms to influence the perception of information and user behavior has increased. The article highlights the results of modern research in the field of information influences, in particular disinformation, manipulative content and their impact on society. The main areas of analysis are outlined, including the mechanisms of disinformation dissemination, the role of social platforms, the use of artificial intelligence to detect manipulation, as well as the psychological, technical and legal aspects of counteraction. This article analyzes current research on the management of information influences in social networks, considering the capabilities of neural networks to identify and analyze influences that can cause irregular changes in user behavior. Particular attention is paid to the use of AI and neural networks to automate the detection of fake content, the study of social network algorithms and the fight against destructive information campaigns in the context of hybrid warfare. Prospects for further research are considered, including the development of adaptive AI models, the creation of regulatory mechanisms for regulating the information space and the study of the impact of information "bubbles". The paper also examines social and cognitive factors that contribute to the spread of manipulative content, taking into account cultural contexts. It is concluded that the constant development of disinformation creation technologies emphasizes the need for an interdisciplinary approach to its research. The results obtained contribute to the development of effective tools for ensuring information security on a global scale and create the basis for further innovations in this area.