AI journalism tools in counteracting fake realities

Abstract

The article examines the role of journalism in countering fake reality through the use of artificial intelligence (AI) technologies. It analyzes the current state of AI tools and technologies that enable the automation of the fact-checking process and improve the quality of news content in the media. A brief overview of domestic and international publications on this topic is provided. The article indicates such Internet services as ClaimBuster, Snopes, PolitiFact, Factmata, Google Fact Check Tools, Botometer, DeepFact, Project Debater and others. Many of these have already become effective assistants for journalists today. The primary methods used in the research include analysis and synthesis, case studies, and comparison methods, which have allowed the exploration of fundamental approaches to applying artificial intelligence in journalism. These include automatic fact-checking systems and algorithmic analysis of large data sets. The research identifies both positive and negative aspects of the use of artificial intelligence in journalistic activities. Special emphasis is placed on the fact that while AI enhances the efficiency of journalists’ work by increasing the speed and accuracy of information processing, full automation of the news creation process poses threats such as the loss of journalistic skills, a decline in the quality of editorial control, excessive automation risks, and inevitable errors in data interpretation. The article concludes that artificial intelligence plays a key role in modern journalism: today, various algorithms and AI methods are being used to improve the quality and accessibility of information. Key findings of the research also include the necessity of developing strategies for integrating AI into journalism, including investment in training the journalistic audience and implementing ethical standards. This will help maintain audience trust and ensure high-quality information.