Determination of Signs of Information and Psychological Influence in the Tone of Sound Sequences

摘要

The article is devoted to the development of information technology for recognizing the destructive influences in the non-verbal content of the sound sequences of multimedia messages of Internet-oriented mass media. The necessity of determining the significant signs of informational and psychological influence in the tonality of the sound series is introduced. It was found that, first of all, such characteristics of music as pulsation, a binaural effect and changes in the main tone should be analyzed. It is proposed to determine the signs of information-psychological influence by analyzing the music used in multimedia messages, which destructive properties have been proven. The object of the study is the music of the song ≪Не хочу ни любви, ни почестей≫ (‘I want neither love nor honor’), which is used as a video background in the famous suicidal game ≪Синий кит≫ (‘Blue Whale’). To analyze the tonality of music on each quasi-stationary fragment, the time variation of the modulus, the real part, and also the imaginary part of the complex representation of the Fourier coefficient was calculated. During the calculations, the length of the quasi-stationary fragment was 1024 samples, which at a sampling rate of 44100 Hz corresponds to about 20 ms. As a result of the analysis, it was determined that significant signs of information and psychological influence are the low-frequency nature of the sound, the periodic nature of the amplitude-time indicators of the sound signal with a period of 5–12 seconds, the periodic nature of the amplitude-frequency indicators of the fundamental tone of the sound signal with a period of 5–7 seconds. To calculate and visualize these indicators, a software package specially developed in the MatLab 2018 environment was used. It is proposed to correlate the ways of further research with the development of a method for recognizing the presence of destructive influences in the non-verbal content of the sound sequences of multimedia messages distributed in Internet-oriented mass media.