Artificial Intelligence and the Transformation of Media: Rethinking Journalism and Communication in the Algorithmic Age

Authors

  • Mehrajudin Aslam Najar Institute of Communication Studies, Communication University of China

DOI:

https://doi.org/10.56778/rjslr.v3i3.655

Keywords:

Artificial Intelligence, journalism, automation, personalization, algorithmic transparency, digital media, communication theory, media ethics

Abstract

Artificial Intelligence (AI) has become a defining technological and cultural force in the media and communication landscape. Its integration into news production, content curation, and audience analytics has reconfigured journalistic practices, redefined professional ethics, and reshaped public discourse. Through automation, personalization, and verification systems, AI technologies now influence both how media is created and how it is understood. This conceptual paper examines AI’s multifaceted role in the transformation of media through three theoretical lenses: media ecology, technological determinism, and critical algorithm studies. It develops an analytical model, the Automation–Personalization–Verification (APV) Framework, to explain the systemic influence of AI on production, distribution, and credibility processes within journalism and digital communication. The paper argues that while AI enhances efficiency and creativity, it simultaneously generates new ethical and epistemological dilemmas concerning transparency, bias, and trust. It concludes by emphasizing the need for human-centered AI that balances technological innovation with journalistic integrity and public accountability.

References

Alvarado, R. (2023). AI as an Epistemic Technology. Science and Engineering Ethics, 29(5), 32. https://doi.org/10.1007/s11948-023-00451-3

Amigo, L., & Porlezza, C. (2025). “Journalism Will Always Need Journalists.” The Perceived Impact of AI on Journalism Authority in Switzerland. Journalism Practice, 19(10), 2266–2284. https://doi.org/10.1080/17512786.2025.2487534

Cools, H., & De Vreese, C. H. (2025). From Automation to Transformation with AI-Tools: Exploring the Professional Norms and the Perceptions of Responsible AI in a News Organization. Digital Journalism, 1–20. https://doi.org/10.1080/21670811.2025.2505982

Cools, H., & Diakopoulos, N. (2024). Uses of Generative AI in the Newsroom: Mapping Journalists’ Perceptions of Perils and Possibilities. Journalism Practice, 1–19. https://doi.org/10.1080/17512786.2024.2394558

Elia, G., Solazzo, G., Lerro, A., Pigni, F., & Tucci, C. L. (2024). The digital transformation canvas: A conceptual framework for leading the digital transformation process. Business Horizons, 67(4), 381–398. https://doi.org/10.1016/j.bushor.2024.03.007

Gausen, A., Guo, C., & Luk, W. (2025). An approach to sociotechnical transparency of social media algorithms using agent-based modelling. AI and Ethics, 5(2), 1827–1845. https://doi.org/10.1007/s43681-024-00527-1

Ghazalian, P. L. (2025). Globalization and the Fallout of the COVID-19 Pandemic. World, 6(1), 4. https://doi.org/10.3390/world6010004

Hastuti, H., Maulana, H. F., Lawelai, H., & Suherman, A. (2025). Algorithmic influence and media legitimacy: A systematic review of social media’s impact on news production. Frontiers in Communication, 10, 1667471. https://doi.org/10.3389/fcomm.2025.1667471

Islas, O., & Bernal, J. (2016). Media Ecology: A Complex and Systemic Metadiscipline. Philosophies, 1(3), 190–198. https://doi.org/10.3390/philosophies1030190

Kalfeli, P. (Naya), & Angeli, C. (2025). The Intersection of AI, Ethics, and Journalism: Greek Journalists’ and Academics’ Perspectives. Societies, 15(2), 22. https://doi.org/10.3390/soc15020022

Lehner, O. M., Ittonen, K., Silvola, H., Ström, E., & Wührleitner, A. (2022). Artificial intelligence based decision-making in accounting and auditing: Ethical challenges and normative thinking. Accounting, Auditing & Accountability Journal, 35(9), 109–135. https://doi.org/10.1108/AAAJ-09-2020-4934

Lewis, S. C., Guzman, A. L., Schmidt, T. R., & Lin, B. (2025). Generative AI and its disruptive challenge to journalism: An institutional analysis. Communication and Change, 1(1), 9. https://doi.org/10.1007/s44382-025-00008-x

Morosoli, S., Naudts, L., Cools, H., Venkatraj, K., Helberger, N., & De Vreese, C. (2025). Public accountability and regulatory expectations for AI in journalism: Qualitative evidence from focus groups with Dutch citizens. AI & SOCIETY. https://doi.org/10.1007/s00146-025-02591-5

Petricini, T. (2025). Media Ecology in the Postdigital Condition. Postdigital Science and Education. https://doi.org/10.1007/s42438-025-00578-5

Sonni, A. F. (2025). Digital transformation in journalism: Mini review on the impact of AI on journalistic practices. Frontiers in Communication, 10, 1535156. https://doi.org/10.3389/fcomm.2025.1535156

Sonni, A. F., Hafied, H., Irwanto, I., & Latuheru, R. (2024). Digital Newsroom Transformation: A Systematic Review of the Impact of Artificial Intelligence on Journalistic Practices, News Narratives, and Ethical Challenges. Journalism and Media, 5(4), 1554–1570. https://doi.org/10.3390/journalmedia5040097

Tsiavos, V., & Kitsios, F. (2025). The digital transformation of the film industry: How Artificial Intelligence is changing the seventh art. Telecommunications Policy, 49(8), 103021. https://doi.org/10.1016/j.telpol.2025.103021

Vărzaru, A. A., & Bocean, C. G. (2024). Digital Transformation and Innovation: The Influence of Digital Technologies on Turnover from Innovation Activities and Types of Innovation. Systems, 12(9), 359. https://doi.org/10.3390/systems12090359

Yeste-Piquer, E., Suau-Martínez, J., Sintes-Olivella, M., & Xicoy-Comas, E. (2025). What If I Prefer Robot Journalists? Trust and Objectivity in the AI News Ecosystem. Journalism and Media, 6(2), 51. https://doi.org/10.3390/journalmedia6020051

Zhaxylykbayeva, R., Burkitbayeva, A., Zhakhyp, B., Kabylgazina, K., & Ashirbekova, G. (2025). Artificial Intelligence and Journalistic Ethics: A Comparative Analysis of AI-Generated Content and Traditional Journalism. Journalism and Media, 6(3), 105. https://doi.org/10.3390/journalmedia6030105

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Published

2025-12-29

How to Cite

Najar, Ph. D, M. A. (2025). Artificial Intelligence and the Transformation of Media: Rethinking Journalism and Communication in the Algorithmic Age. RADINKA JOURNAL OF SCIENCE AND SYSTEMATIC LITERATURE REVIEW, 3(3), 780–785. https://doi.org/10.56778/rjslr.v3i3.655

Issue

Vol. 3 No. 3 (2025): Radinka Journal of Science and Systematic Literature Review

Section

A Literature Review

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