Abstract: In 2023 the disputes and discussions about the use of artificial intelligence (AI) in different spheres of life have flared up with renewed vigor. As the indisputable advantages of the use of automated systems and algorithms in the media are efficiency (the ability to quickly and accurately search for information, create template texts, check data), comprehensiveness (the ability to analyze any topic, to work with any direction), convenience (when properly configured does not require extra effort from the media specialist), learning (the ability to quickly absorb new knowledge and to analyze the needs and demands of the audience). The disadvantages are a noticeable number of errors and inaccuracies, fears of job cuts (especially in newsrooms), limitations in communication, lack of legislative regulation of AI, dependence on technology, the ethical aspect of work. The scientific and professional communities are increasingly drawing attention to the serious threats posed by the use of neural networks and computer algorithms. The article raises questions about the risks and challenges of using artificial intelligence, analyzes its capabilities regarding the threats to media safety (both the creation of fakes and deepfakes and the exposure of such content). Special attention is given to the methods of applying neural networks in the media space, which seems especially relevant nowadays, when IT developments have become one of the central themes for discussions at many international venues. Possible options for the further use of these technologies in the near future and the consequences of this application are presented as conclusions.

Abstract: The subject of the research in this article is the specificity of fake content in the conditions of active development of artificial intelligence (AI). The first half of 2023 demonstrated how serious an impact AI can have on the life of society in general, and on the information agenda in particular. In the era of a continuous stream of received data, it is increasingly difficult to verify the content and critically comprehend all the information received. The so-called deepfakes have become a truly relevant media threat that can cause mass unrest and affect the mood of the audience. In this regard, it is relevant and important to study fakes created by AI in order to identify ways to detect and expose them. The article touches upon such important aspects as the concept and characteristic features of fake content as a threat to information security, the distinctive features of deepfakes as an AI product, and presents key steps for recognizing fakes.
The scientific novelty of the research lies in the disclosure of the role of deepfakes in the modern information space, the dangers they carry (including due to their instant replication through social networks) and options to combat them within the media consumption of a wide audience. Moreover, it demonstrates the need to develop further steps to increase the level of media literacy and to anticipate the negative consequences that fakes can cause.

Abstract: Media convergence and digital revolution have become the reason of the important transformation processes that affected the editorial offices of all mass media. Constant information flow, public access to foreign media resources contributed to an unprecedented struggle for the audience. At the same time, the development of new technologies and software prompts the journalists to draw attention to the new opportunities and prospects that open up due to this. The subject of this research is the modern approaches towards interaction between the journalists and journalist with their audience, as well as use of technological capabilities within the framework of creating journalistic materials in the US mass media. The scientific novelty lies in the attempt to explore and systematize the new approaches towards creating media content that have emerged in the United States in the first half of the XXI century due to information and communication technologies and globalization of the information space, and commence to appear in Russia. Such research would allow to not only reveal the peculiarities of implementation of new techniques and methodologies in the US journalism, but also to see the development trends of the Russian journalism, since the experience of foreign colleagues has been used for decades. In conclusion, the author highlights the shift in priorities of the journalists, who prefer cooperation in creating large-scale resonance projects, rather than competition. Moreover, livening up the audience allows the journalists to involve it to creation of media content, and artificial intelligence may significantly reduce the time and financial costs to produce journalistic stories.

Abstract: As of today, Big Data is the source of information that journalists can no longer neglect. Data sets, databases, unstructured data on the official websites of the government or commercial institutions are a resource for the work of journalists. Big Data is not only the source of information, but also the evidence base. Using quantitative and statistical indicators as the arguments for their theses, the journalists increases the level of audience loyalty and trust to the publication. Data analysis, establishment of correlations, making forecasts and ratings allows creative exclusive, attractive and reliable content that attracts the audience and improves reputation of the publisher. This article is dedicated to determination of the role of “big data” in the work of information and analytical departments of the publisher, as well as in coverage of the socially relevant topics and outlining trends in further work of the journalists with such information. Over the study period (from 2017 to the present) the author employed the methods of description, comparative analysis, and generalization. In conclusion, the author notes that the collection and processing of the data requires a strong approach and utmost attention of the journalists.