| Abstrakt: |
The article is devoted to the problem of the transformation of the media education in the contemporary digital age. Journalism should be considered as the dynamically developed field of humans’ life which is characterized by the regular appearance of new technologies for gathering, processing and transfer of information. That’s why it seems extremely important to determine a set of key competences that a journalist must get in order to be able to use advanced technologies in the production of an information product. The article discusses: 1) the transformation of the training system for the mass media industry in the contemporary digital age; 2) due to the active use of AI technologies in journalism, media education ceases to be purely humanitarian, and it becomes extremely important for journalists to get a certain set of technical competencies in order to be able to set tasks for technical specialists to write appropriate algorithms; 3) modernization of the media education should be considered as a comprehensive process and affect all levels of education, both bachelor's and master's degrees. Finally, the author comes to the conclusion that it is extremely important to develop new educational programs aimed at training journalists who, due to their understanding of the basics of machine learning and basic principles of functioning of neural networks, would be able to formulate tasks for technical specialists to write appropriate algorithms and subsequently could effectively use them in their daily work related to the further analyses of big data and writing analytical texts. [ABSTRACT FROM AUTHOR] |
