Artificial Intelligence in Journalism: Bibliometric Analysis of Publication Activity

Artificial intelligence is changing the algorithms for the development of various spheres of society, is actively being introduced into the media industry, producing new opportunities and social risks. The problematic issues of this thematic field arouse the interest of the academic community, which leads to an increase in relevant scientific publications. In June-December 2024, based on the Russian Index of Science Citation database integrated with eLibrary, a quantitative and qualitative analysis of the structure and dynamics of scientific research on the features of artificial intelligence in the context of journalism was carried out. The publications were identified by parameters: the total number by year, the type of publication, the author’s university, the most active and cited authors. The empirical base includes 216 publications from 2013 to 2024. The selection was conducted on the topic of mass communication – journalism – mass media and the keywords artificial intelligence, journalism, media, fakes, deepfakes, new media, journalistic education, mass media. It was found that the number of publications has been gradually increasing since 2017, with a sharp jump in 2020. This reflects events in the world: the beginning of the use of neural networks in the media, the active development of generative models and the emergence of ChatGPT, the Covid-19 pandemic. The universities with the largest number of publications on the topic were identified, and the most cited authors were also identified. It was noted that the introduction of artificial intelligence into the educational process, the emergence of AI-related faculties and programs, and government measures to support AI research contributed to the intensification of publication activity.