AI VISUALIZATION AS A NEW TREND OF EXTRA MONETIZATION OF STREAMED MUSIC FOR INDIE ARTISTS

Abstract

The article provides the outcomes of the experiments on the reaction of target audience towards the visualization of the narratives in the songwriting art of three indie artists of Media Sharks record label founded at NRU HSE’s Faculty of Creative Industries. The categories for evaluating the neural network generated visualization in the music videos are described on examples of Kandinsky and Genmo in terms of tools for extra monetization for the streamed music audiovisual products for the benefit of indie artists. The research optics applied for determination of social value of generative visualization neural networks combines the tools of bibliometric analysis, historical-genetic analysis and case studies of the precedents of pioneering AI-generated music videos for the artists of Russian and global popular music stage. The experimental model for calculation of the additional profits for the streamed music artists from posting the AI-generated music videos as supplements to original streamed music products at YouTube video hosting is proposed for future broader academic discussion.