Algorithm for implementing artificial intelligence mechanisms in media work

artificial intelligence is being introduced in all spheres of life and, of course, it affects the media segment. The introduction of neural networks in work is a prerequisite for remaining competitive in the market. How to implement neural network technologies in the work of an editorial office or agency? The authors of the article created an algorithm for implementing artificial intelligence and analyzed how much it will increase efficiency and speed up the process of work, as well as considered the variability of implementing neural network technologies in different media industries from journalism to advertising. The presented algorithm takes into account the specifics of the media industry and the potential benefits of using intelligent systems, as it was created on the basis of analyzing the practices of implementing artificial intelligence by major Russian companies. In this paper, successful cases of implementing neural network technologies in media, brand promotion and work with the audience were considered. The authors consider the application of artificial intelligence in various aspects of media production, such as content generation, personalization of recommendations, audience analysis and optimization of advertising campaigns. The article provides an overview of research on the incorporation of robotization elements into media and forecasts what the future holds for journalism and marketing in the age of artificial intelligence.

media, journalism, neural networks, artificial intelligence, algorithm, optimization, content, factchecking