Artificial Intelligence on Guard Against the Harmful Effects of Deepfakes
Year: 2025
Type: article
Abstract: The purpose of the study is to outline the threats posed by modern technologies for creating deepfakes, to confirm the need for legal regulation of their spreading, and to make relatable proposals for recognizing deepfakes at the everyday level, in particular through the use of artificial intelligence. Research methodology. The materials used to prepare this article were compiled using a combination of theoretical and empirical methods, including the analysis of sources that offer information about the role of deepfakes in the media environment and their impact on society as a whole. The analysis of foreign websites with legislative acts made it possible to systematize these sources on the relevant issues, as well as to strengthen the argument for the need to legally regulate the dissemination of such falsifications. The use of these methods, as well as the inductive generalization of the field under study, contributed to the structuring of the necessary material to obtain the relational basis for recognizing deep audiovisual counterfeits. Results. A list of rules that can be used to recognize deepfakes is proposed, and a list of online resources for their detection is reviewed and systematized in order to increase the overall level of media literacy and awareness of threats that negatively affect the mental health of society. Novelty. As a result of the analysis of the sources, as well as their systematization and generalization, recommendations for strengthening critical thinking among the population are proposed, and the need for visual training is emphasized in order not to be deceived by another example of a deep audiovisual fake. Practical significance. The proposed rules can be used both for widespread use in society to develop critical thinking and for the development of a set of competencies and programmatic outcomes in media education disciplines. Key words: deepfake, disinformation, manipulation, media addiction, media literacy, artificial intelligence.
Authors: I. Kyianytsia, D. Faуvishenko
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4408219785