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Neurocognitive Processing of Attitude-Consistent and Attitude-Inconsistent Deepfakes: N400 Study
Nowadays the mass distribution of fake content has acquired a significant scale and spread to various topics, including politics, econom- ics, democracy etc. One of the modern varieties of fake representation is the technology for synthesizing video and audio formats called deepfake. With the development of neural networks, such a new method has become very popular and effective (Thies et al., 2016). Although a new area of interest attracts scientists of different directions, involving neuroscientists and cog- nitive psychologists, a few papers are devoted to specific neurophysiologi- cal correlations in deepfake format processing. The current study involves completely new attitude-consistent and attitude-inconsistent audio deep- fakes dedicated to the topic of vaccination against the COVID-19 virus in Russia. The author analyzes electrophysiological brain response towards such deepfakes manifestation and observes whether congruence or incon- gruence of internal attitudes and the degree of analytical thinking influence the level of trust to deepfakes.