Digital actors and computational propaganda as tools for influencing mass consciousness in the context of global technological transformations
Abstract
The main goal of this article was to identify the potential and features of the use of digital actants and computational propaganda technologies in contemporary processes of digital socio-political communication. Current digital technological transformations and the rapid evolution of artificial intelligence technologies are powerful factors and drivers of the development of digital actants — software and hardware systems operating on the basis of the use of neural network algorithms and taking an active part in the processes of digital socio-political communication. In this regard, such new type of actants require careful study by specialists and scientists. In the framework of this work, the methodological basis of the study was the methods of discourse analysis, case study, and expert survey, which made it possible to confirm the results we obtained. The work demonstrates that digital actants have a substantial potential to impact mass consciousness and behavior. It is determined by the high efficiency of algorithmically adapted information and communication influence from “smart” communicative actants on the target audiences’ consciousness. Such potential is based on the algorithmic analysis of users’ digital traces and the identification of subjective features and characteristics of the latter. Based on the results of the work, it is concluded that contemporary digital technological transformations create a significant potential for computational and propaganda wars in the digital environment between global political actors. This circumstance leads us to the thesis about the need to ensure state technological sovereignty in the digital space.References
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Keywords: mass consciousness; global technological transformations; artificial intelligence; digital actants; computational propaganda; neural network algorithms
DOI Number: 10.55959/ MSU0868-4871-12-2024-2-2-47-70
Available in the on-line version with: 15.04.2024
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