Digital Socio-Political Communication and its Transformation in the Technological Evolution of Artificial Intelligence and Neural Network Algorithms

The study aims to analyze the specifics of determining the subjects of digital social and political communication in the context of the development of artificial intelligence technologies and neural network algorithms. The work uses a case-study design. As a research methodology, the method of critical analysis of the digital communications practice in the socio-political sphere, as well as discourse analysis of modern scientific research in the field of the development of artificial intelligence and neural network algorithms, are used. It is concluded that the implementation of technological solutions based on artificial intelligence and neural network algorithms into the processes of socio-political communications creates a problem of defining the subject of communication acts in the socio-political sphere. Society may face such communication practices in which hybrid subjectness is realized. In the conditions of hybrid subjectness, both real subjects and programmed neural network algorithms acting as real subjects (but only imitating own subjectivity) interact in common communication space. The originality of the work lies in the formulation of the author's hypothesis about the emergence of the phenomenon of hybrid subjectness in the space of modern socio-political communications and its potential in the aspect of influencing the mass consciousness of citizens.