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American Journal Of Social Sciences And Humanity Research

Peer Reviewed | Open Access | E-ISSN: 2771-2141
Published Article

An International Perspective on Ai-Driven Data Journalism and The Future of Investigative Reporting

An International Perspective on Ai-Driven Data Journalism and The Future of Investigative Reporting

Authors

  • Ismatov Jaloliddin
    Teacher, International Journalism, Uzbekistan State World Languages University, Uzbekistan

DOI:

https://doi.org/10.37547/ajsshr/Volume06Issue06-22

Keywords:

Artificial Intelligence (AI) Data Journalism Investigative Reporting

Abstract

The contemporary global information landscape is experiencing a structural revolution driven by the intersection of computational sciences and investigative journalism. As massive datasets expand, traditional human-centric methods of narrative extraction and data processing face unprecedented cognitive and technical limits. This study explores the systemic integration of artificial intelligence algorithms within modern investigative reporting, evaluating how predictive analytics, natural language processing, and automated verification protocols reconfigure the journalistic watchdog function. Utilizing a theoretical framework anchored in technological mediation and algorithmic accountability, the research investigates the dual nature of artificial intelligence as both an expansive investigative tool and a source of systemic epistemic risk. The analysis indicates that while automated data journalism enhances the speed and scale of systemic corruption tracking, it introduces algorithmic biases and procedural opacities that require a structural modernization of media ethics and verification standards.

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References

Abbott, R. (2020). The Reasonable Robot: Artificial Intelligence and the Law. Cambridge University Press.

Floridi, L. (2023). The Ethics of Artificial Intelligence: Principles, Challenges, and Opportunities. Oxford University Press.

Harvard Berkman Klein Center for Internet & Society. (2025). Copyright and Generative AI: The Search for a Creative Spark. Harvard Law School.

Lemley, M. A. (2024). The Law of AI Training Data. Stanford Law Review, 76(1), 210-255.

Lessig, L. (2004). Free Culture: How Big Media Uses Technology and the Law to Lock Down Culture and Control Creativity. Penguin Press.

Oxford Internet Institute. (2025). The Epistemic Impact of Deepfakes on Public Discourse. University of Oxford.

Stanford Program on Law and Technology. (2025). Fair Use in the Age of Large Language Models. Stanford Law School.

Sunstein, C. R. (2025). Algorithms and the Future of Free Speech. Harvard University Press.

UNESCO. (2024). Guidelines for the Governance of Digital Platforms in the Age of AI. UNESCO Publishing.

WIPO. (2025). Report on the Impact of Generative AI on Intellectual Property Systems. World Intellectual Property Organization.