THE ROLE OF ARTIFICIAL INTELLIGENCE IN THE DEVELOPMENT OF MODERN JOURNALISM: TRENDS AND CHALLENGES OF INTERNATIONAL EXPERIENCE

Abstract

The role of artificial intelligence (AI) in transforming modern journalism spans all stages of the media process, from data collection to distribution. Key trends in decommunization include the automation of information collection and analysis that can process large amounts of data at high speed, the creation of personalized content to meet the needs of different audiences, and the use of algorithms to predict trends in information and analyze public sentiment.The integration of these technologies is changing the way we create news and interact with our audiences.The benefits of AI include the decommunization of journalists, including by automating daily operations, optimizing content strategies by analyzing behavioral data, and expanding classroom interaction through personalized information delivery. Prominent media organizations in various countries are already using these technologies to create high-quality content, predict changes in audience behavior, and expand their communication channels.Despite the obvious benefits, integration with AI has many challenges. In particular, ethical issues related to algorithmic transparency, the possibility of discrimination or distortion of facts in automated processes and the risk of loss of editorial independence remain important issues for audience trust in content created using automated systems and ensuring compliance with journalistic standards in the digital age.International experience shows different approaches to the implementation of artificial intelligence in the media.Countries with developed media infrastructure, such as the United States, the United Kingdom, China and the European Union, have successfully used artificial intelligence technologies to improve their information products and their distribution. At the same time, in developing countries, the possibilities for the implementation of such technologies are often limited due to economic, infrastructural and legal factors.