Next-Generation Media Technologies and the Redefinition of Journalistic Ethics
Md Rashid Iqubal Siddique1, Sapan Kumar Gupta2
1Dr. Md Rashid Iqubal Siddique, Assistant Professor, Department of Journalism and Mass Communication, Amity University Jharkhand Ranchi (Jharkhand), India.
2Dr. Sapan Kumar Gupta, Associate Professor, Department of Journalism and Mass Communication, Amity University Jharkhand Ranchi (Jharkhand), India.
Manuscript received on 09 January 2026 | First Revised Manuscript received on 17 February 2026 | Second Revised Manuscript received on 21 February 2026 | Manuscript Accepted on 15 March 2026 | Manuscript published on 30 March 2026 | PP: 26-35 | Volume-5 Issue-3, March 2026 | Retrieval Number: 100.1/ijmcj.C116605030326 | DOI: 10.54105/ijmcj.C1166.05030326
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© The Authors. Published by Lattice Science Publication (LSP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The accelerated pace of the emergence of the new generation computing models, such as “quantum computing, bioinspired computing, and neuromorphic computing,” is radically transforming the underlying technology for contemporary media systems. The growing reliance of journalism on advanced computational intelligence in news gathering, content generation, audience analytics, and fact-checking raises unprecedented ethical questions about established traditions and values. This paper investigates how quantum-enabled data processing, bioinspired algorithmic decision-making processes, and neuronalinspired neuromorphic systems are reconfiguring the established ethics in journalism, including accuracy, accountably, transparency, autonomy, privacy, and editorial responsibility. Quantum Computing: With enhanced data analysis capabilities and breakthroughs in cryptography, there arise challenges regarding the confidentiality of information sources, surveillance, and imbalances in information power. Bio-inspired Computing: These systems, based on evolutionary and collective phenomena in living organisms, affect content curation, virality, and audience engagement, thereby altering journalistic gatekeeping and perpetuating problems associated with potential algorithmic biases and information manipulation. Neuromorphic Computing: These computer systems, which model the workings of the human brain, have further blurred the distinction between human judgment and autonomous operation, raising concerns about moral agency, empathy, and accountability in automated journalism. By integrating insights from media ethics, communication theory, and computational intelligence, this article advances an expanded ethical frame for journalism in the cognitive machine era. The paper argues that traditional normative models are ill-suited to address the ethical challenges posed by nonlinear, adaptive, and probabilistic computing systems. It concludes by emphasising the need for interdisciplinary ethical governance, human-centric design principles, and regulatory foresight to protect public trust, democratic values, and journalistic integrity in next-generation media ecosystems.
Keywords: Quantum Computing, Bio-Inspired Computing, Neuromorphic Computing, Journalism Ethics, AI Journalism, Media Technology, Cognitive Media Systems.
Scope of the Article: Journalism