Neural networks in the information space: opportunities, challenges and perspectives for media

Abstract

The article explores the opportunities, challenges, and future prospects of using neural networks in the media landscape. It analyzes the role of artificial intelligence technologies, particularly neural networks, in the field of media communications and assesses their impact on the professional activities of media specialists. The study aims to identify effective ways to apply these systems to the professional activities of future media specialists and analyze the advantages of these technologies. The development of digital technologies is radically transforming the media sphere, opening up new opportunities for the use of artificial intelligence and neural networks. The use of these technologies in the processes of collecting, processing, and distributing information is particularly important, which helps streamline the work of media specialists and enhances their productivity. However, the introduction of neural networks also raises several pressing concerns related to professional ethics, the dissemination of misinformation, the restriction of creative freedom, and the replacement of human labor. Studying the impact of neural networks on the media space, as well as identifying their potential and associated risks, is an important task from both a scientific and practical point of view. The study employed methods such as analysis, surveys, data processing, and expert evaluation. The significance of the study lies in its focus on understanding the dynamics of technological processes in the media space and identifying new opportunities for media professionals. The results show that neural networks can increase the speed of content processing and improve the quality of information in the media environment. However, they also cause challenges such as ethical concerns and job displacement. As the use of artificial intelligence technologies is integrated into the core competencies of future media professionals, the study emphasizes the importance of developing skills in using neural networks.