Abstract
With the development of artificial intelligence (AI), new horizons are opening in the creation and adaptation of visual content, making it possible not only to automate certain processes but also to create interactive and dynamic visualizations that can significantly enhance interaction with information. The use of AI in news visualization allows journalists and media organizations not only to improve the quality and accessibility of information but also to offer the audience a unique and engaging experience. The aim of the research is to systematize the various forms of visualization used in contemporary journalism and the possibility of integrating AI into these processes. To achieve the set goals, a review of current scientific works and publications on the topic was conducted, as well as a review of examples of modern forms of visualization that were created with the help of AI in various journalism genres. The methodology of this study focuses on four key approaches: general scientific methods, analytical review of scientific literature on the topic, experimental study using ChatGPT (4GPT) chatbot, and classification of modern forms of visualization. The scientific and practical significance of the work is determined by the in-depth study of the classification of visual forms used in media communications, which contributes not only to expanding theoretical knowledge in the field of media visualization but also to developing content creation strategies integrating the most effective and innovative forms of visualization. As a result of the research, an attempt was made to classify modern forms of visualization, which suggests an advantage in understanding and using visual data in various fields. The conclusion of the article emphasizes that the introduction of artificial intelligence and neural networks opens new horizons for the development of modern forms of visualization, playing a key role in adapting journalistic content to the needs of the digital era. The use of these technologies allows not only to automate the visualization creation process, making it more efficient and scalable, but also offers possibilities for creating more complex, interactive, and personalized visual materials. This improves interaction with the audience, makes information more accessible and understandable, increasing the overall effectiveness of journalistic materials.