Artificial intelligence in the media sphere: Research directions, professional contradictions and new risks

Section: Artificial Intelligence in Media and Communication Studies

The editors of the issue compared the key areas of artificial intelligence research in media in global science with the Russian context. In 2025, the following topics can be considered as uniting researchers from all over the world: theories of the introduction of AI into communication practice and their criticism; deontology of the use of AI in journalism and social communication; the practice of creating AI content in federal and regional media; AI in social networks and messengers; visual media content and AI; perception of AI and AI news in the media industry and the media audience: from hopes to fears and confrontation; government policy, platforms, media companies in the field of using AI in communication; machine learning, small and large language models in media content analysis; recognition of emotions, irony, malicious content based on machine learning; AI in fake news analytics news and disinformation. The key areas of further research are the formation of hybrid models of human-AI interaction, the development of regulations and ethical codes for the use of neural networks in journalism, the analysis of the uneven digital transformation of regional media, the study of cognitive effects and professional adaptation of journalists, socio-political and technological parameters of the development of a new social environment and its public regulation.

Akinfiev I., Bodrunova S. S. (2025) LLMs as Judgment Oracles: A Framework for Tracking Conversational Opinion Dynamics. In Proceedings of the International Conference on Artificial Intelligence and Networks (ICAIN’2025). Lecture Notes in Networks and Systems series. Dubai, UAE: Springer [in print].

Bodrunova S. S. (2023) Kumulyativnaya deliberatsiya: novaya normativnost’ v izuchenii publichnykh sfer onlayn [Cumulative deliberation: new normativity in the study of online public spheres]. Vestnik Moskovskogo universiteta. Seriya 10. Zhurnalistika 1: 87–122. DOI: 10.30547/vestnik.journ.1.2023.87122 (In Russian)

Bojić L., Zagovora O., Zelenkauskaite A., Vuković V., Čabarkapa M., Veseljević Jerković S., Jovančević A. (2025) Comparing large Language models and human annotators in latent content analysis of sentiment, political leaning, emotional intensity and sarcasm. Scientific reports 15 (1): 11477. DOI: 10.1038/ s41598-025-96508-3

Campbell M., Joshi S., Barthwal A., Shouli A., Shrestha A. K. (2025) Applying Communication Privacy Management Theory to Youth Privacy Management in AI Contexts. In Proceedings of the IEEE 4^th International Conference on AI in Cybersecurity (ICAIC). Houston, USA. Pp. 1–10. DOI: 10.1109/ICAIC63015.2025.10848639

Chi C.-N., Hsu J.-L., Hung C.-H., Hsu C.-H., Tan Phuong T. N., Juan W.-C. (2025) InstaSight: Leveraging AI to See Beyond Sight for Blind Users on Social Media. In Proceedings of the 43^th IEEE International Conference on Consumer Electronics (ICCE’2025). Las Vegas, USA. Pp. 1–2. DOI: 10.1109/ICCE63647.2025.10930208

Kiruthika R., Santhosh G., Santhosh R., Surya S. B., Thamizh Amudhan K. (2025) AI-Powered System for Detecting Offensive Meme Texts on Social Media. In Proceedings of the 3^rd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA). Namakkal, India. Pp. 1–5. DOI: 10.1109/AIMLA63829.2025.11040537

Kumar V C., Gowda C., Charishma G., Darshan B., Yadav D L. P., Vidya (Ms). (2025) AI Powered Multimodal Content Moderation for Online Safety in Social Media Platforms. In Proceedings of the 6^th International Conference on Inventive Research in Computing Applications (ICIRCA). Coimbatore, India. Pp. 1748–1758. DOI: 10.1109/ICIRCA65293.2025.11089733

Kumar I. A. K., Sthanusubramoniani G., Gupta D., Nair A. R., Alotaibi Y. A., Zakariah M. (2025) Multi-task detection of harmful content in code-mixed meme captions using large language models with zero-shot, few-shot, and finetuning approaches. Egyptian Informatics Journal 30: 100683. DOI: 10.1016/j. eij.2025.100683

Luo J., Zhang K., Du J. (2025) Exploring the Impact Mechanism of AIGCDriven Social Media Marketing Content on Consumer Decision-Making Behavior: A Two-Stage Hybrid Approach. IEEE Access 13: 147615–147632. DOI: 10.1109/ACCESS.2025.3600564

Machová K., Szabóova M., Paralič J., Mičko J. (2023) Detection of emotion by text analysis using machine learning. Frontiers in Psychology 14: 1190326. DOI: 10.3389/fpsyg.2023.1190326

Opdahl, A. L., Tessem, B., Dang-Nguyen, D. T., Motta, E., Setty, V., Throndsen, E., et al. (2023) Trustworthy journalism through AI. Data & Knowledge Engineering 146: 102182. DOI: 10.1016/j.datak.2023.102182

Palys M., Krezel J. (2025) Exploring AI-Driven Social Media Content Creation Benefits, Barriers, And Good Practices: Experts’ Interviews. Communications of International Proceedings 17: 4542625. DOI: 10.5171/ 2025.4542625

Samson O. O. (2025) Ethical frameworks for AI in journalism: Balancing technological innovation and journalistic integrity. World Journal of Advanced Research and Reviews 25 (1): 1342–1351. DOI: 10.30574/wjarr.2025.25.1.0187

Santoso N. P., Rawat B., Ratri S. R., Danang D., Kumoro D. F., Supriati R., Natalia E. A. (2025) Transformation of Indonesian Language in Social Media Using AI Expert Systems and Machine Learning. International Transactions on Artificial Intelligence 3 (2): 130–139. DOI: 10.33050/italic. v3i2.806

Sruneethi C., Sharmila K. (2025) Detection and Prediction of Future Mental Disorder from Social Media Data Using Machine Learning Ensemble Learning and Large Language Models. International Journal of Scientific Research in Science and Technology 12 (3): 335–338. DOI: 10.32628/IJSRST2512338

Stromer-Galley J., McKernan B., Zaman S., Maganur C., Regmi S. (2025) The Efficacy of Large Language Models and Crowd Annotation for Accurate Content Analysis of Political Social Media Messages. Social Science Computer Review 08944393251334977. DOI: 10.1177/08944393251334977

Vindigni G. (2025). Gender Bias and Cultural Misrepresentation in AI: A Critical Inquiry into Cross-Cultural Communication and Algorithmic Design. European Journal of Applied Science, Engineering and Technology 3 (3): 51–72. DOI: 10.59324/ejaset.2025.3(3).06

Yi P., Xia Y., Long Y. (2025) Irony Detection, Reasoning and Understanding in Zero-shot Learning. IEEE Transactions on Artificial Intelligence. DOI: 10.1109/tai.2025.3579452

Zhu Y., Wan M. H., Wan H. (2025) Artificial intelligence (AI) awareness (2019–2025): A systematic literature review using the SPAR-4-SLR protocol. Social Sciences & Humanities Open 12: 101870. DOI: 10.1016/j. ssaho.2025.101870

To cite this article: Bodrunova S. S., Nigmatullina K. R. (2025) Iskusstvennyy intellekt v mediasfere: napravleniya issledovaniya, professional’nye protivorechiya i novye riski [Artificial intelligence in the media sphere: Research directions, professional contradictions and new risks]. Vestnik Moskovskogo Universiteta. Seriya 10. Zhurnalistika 5: 3–22. DOI: 10.55959/msu.vestnik.journ.5.2025.322