PROSPECTS FOR ARTIFICIAL INTELLIGENCE IN JOURNALISM
Abstract and keywords
Abstract (English):
The media landscape has to adapt to the rapid digitalization. Introducing artificial intelligence into the media industry by 2030 has its advantages and risks. The main challenge is to maintain a balance between innovations and traditional values. By analyzing some relevant cases of using artificial intelligence in media space, the author developed a predictive and analytical approach to the matter. The prospects for integrating artificial intelligence into journalism by 2030 include hyperpersonalization, automatization of routine content, and optimization of work processes. The key challenges include inevitable job cuts, ethical dilemmas (biased algorithm, copyright), and disinformation. The future of journalism depends on the symbiosis of technology and human expertise, which requires new ethical standards, laws, and investments in media education. Eventually, journalists will be responsible for critical thinking and expertise rather than routine.

Keywords:
artificial intelligence, automated journalism, media ethics, deepfakes, digital transformation
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References

1. Vinogradova K. E. The development of artificial intelligence and the transformation of journalism: New opportunities and challenges. Humanitarian Vector, 2023, 18(3): 121–130. (In Russ.) https://doi.org/10.21209/1996-7853-2023-18-3-121-130

2. Davydov S. G., Zamkov A. V., Krasheninnikova M. A., Lukina M. M. The use of artificial intelligence technologies in Russian media and journalism. Vestnik Moskovskogo universiteta. Seriya 10. Zhurnalistika, 2023, 48(5): 3–21. (In Russ.) https://elibrary.ru/zzjrrx

3. Zamkov A. V. News media robot: Theoretical aspects of intellectual system for content generation. Theoretical and Practical Issues of Journalism, 2019, 8(2): 260–273. (In Russ.) https://doi.org/10.17150/2308-6203.2019.8(2).260-273

4. Zamkov A. V., Krasheninnikova M. A., Lukina M. M. Working practices of journalists: Humans or robots. Theoretical and Practical Issues of Journalism, 2020, 9(1): 46–64. (In Russ.) https://doi.org/10.17150/2308-6203.2020.9(1).46-64

5. Ivanov A. D. Robotic journalism and the first algorithms in the service of international media editorial offices. Znak: Problemnoe pole mediaobrazovaniya, 2015, (2): 32–40. (In Russ.) https://elibrary.ru/vmnfpn

6. Ivanov A. D. Transparency of roboted journalism: How the new technologies threaten the principles of the profession. Bulletin of Chelyabinsk State University, 2017, (8): 28–33. (In Russ.) https://elibrary.ru/zgfdlj

7. Kashevarova N. A., Kulikova M. E. Integration of blockchain and artificial intelligence as a mechanism for modernisation of various economic sectors. Vestnik Universiteta, 2024, (5): 54–67. (In Russ.) https://doi.org/10.26425/1816-4277-2024-5-54-67

8. Kulikovskii A. V. Artificial intelligence and journalism: Positive and negative sides. Vestnik Kyrgyzsko-Rossiiskogo Slavyanskogo universiteta, 2025, 25(2): 216–220. (In Russ.) https://doi.org/10.36979/1694-500X-2025-25-2-216-220

9. Kulchitskaya D. Yu., Frolova T. I. Computer algorithms used in Russian news agencies (a case study of Interfax and TASS). Vestnik Moskovskogo universiteta. Seriya 10. Zhurnalistika, 2020, (1): 3–19. (In Russ.) https://doi.org/10.30547/vestnik.journ.1.2020.319

10. Lukina M. Artificial intelligence will gradually become an active subject in the media industry. MediaTrendy, 2023, (1): 2–3. (In Russ.)

11. Morozova A. A., Arsentieva A. D. Problems and prospects of the use of artificial intelligence in the sphere of mass media: Opinion of the Russian audience. Znak: Problemnoe pole mediaobrazovaniya, 2022, (2): 150–158. (In Russ.) https://doi.org/10.47475/2070-0695-2022-10219

12. Morozova A. A., Popova S. N. The phenomenon of artificial intelligence in modern science: Concept, vectors and problems of application in the sphere of mass media. Znak: Problemnoe pole mediaobrazovaniya, 2021, (4): 41–52. (In Russ.) https://doi.org/10.47475/2070-0695-2021-10405

13. Chertovskikh O. O., Chertovskikh M. G. Artificial intelligence in modern journalism: History, facts, prospects for development. Theoretical and Practical Issues of Journalism, 2019, 8(3): 555–568. (In Russ.) https://doi.org/10.17150/2308-6203.2019.8(3).555-568

14. Shnaider A. A. Mass media trends: Implementation of AI, ML, SEO and data journalism in the worldwide media landscape. Vestnik NSU. Series: History and Philology, 2022, 21(6): 59–68. (In Russ.) https://doi.org/10.25205/1818-7919-2022-21-6-59-68

15. Broussard M., Diakopoulos N., Guzman A. L., Abebe R., Dupagne M., Chuan C.-H. Artificial Intelligence in journalism. Journalism & Mass Communication Quarterly, 2019, 96(3): 673–695. https://doi.org/10.1177/1077699019859901

16. Diakopoulos N. Automating the news: How algorithms are rewriting the media. Cambridge-London: Harvard University Press, 2019. https://doi.org/10.4159/9780674239302

17. Graefe A. Guide to Automated Journalism. Columbia Journalism Review, 2016. URL: https://www.cjr.org/tow_center_reports/guide_to_automated_journalism.php (accessed 4 Mar 2025).

18. Jakesch M., Hancock J. T., Naaman M. Human heuristics for AI-generated language are flawed. Pnas, 2023, 120(11). https://doi.org/10.1073/pnas.2208839120

19. Shu K., Sliva A., Wang S., Tang J., Liu H. Fake news detection on social media: A data mining perspective. ACM SIGKDD Explorations Newsletter, 2017, 19(1): 22–36. https://doi.org/10.1145/3137597.3137600

20. Zou J., Schiebinger L. AI can be sexist and racist – it’s time to make it fair. Nature, 2018, 559: 324–326. https://doi.org/10.1038/d41586-018-05707-8


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