Artificial Intelligence and Its Implication on the Ethical Practice of Journalism in Nigeria
Published: 2025-08-30
Author(s): | Musa Adamu Labaran |
Abstract: | The introduction of new tools and technology, such as Artificial Intelligence (AI), has caused the journalism industry to change quickly in recent years. AI poses questions regarding the ethical practice of journalism even if it has the ability to increase the productivity and accuracy of journalistic labour. The future of journalistic engagement is called into doubt by the growing usage of AI by journalists. There are worries that the quality and diversity of news output may decline as a result of journalists using AI. It is also clear from the literature that the introduction of AI technology into journalism has been seen to have both facilitated and hindered the ethical practice of journalism in Nigeria, which has resulted in the advancement of the field. As a result, this study assesses how AI may affect Nigerian journalists’ ethical standards. The study used the theories of Digital Generative Multimedia Tool Theory (DGMTT) and Mediamorphosis. In order to generate data for the study, secondary sources such pertinent texts, journals, official publications, historical documents, and the Internet were used. These sources provided insights into the thematic analysis. The study established that ethical behaviour in Nigeria has both opportunities and challenges as a result of the use of AI in journalism. AI has the ability to improve ethical monitoring, efficiency, and accuracy, but it also carries concerns of bias, job displacement, and trust loss. The study concludes that the integration of AI in journalism, particularly in Nigeria, has the potential to significantly impact ethical practices within the field. AI tools can help monitor ethical standards by analyzing news content for adherence to ethical guidelines, such as avoiding sensationalism or ensuring balanced reporting. |
Keywords: | Artificial Intelligence, Ethical Practice, Implication, Journalism and Technology |
Edition | NJOMACS Volume 7 No 2, August 2025 |
Cite |
|
|
|
Copyright | Copyright © 2025 Musa Adamu Labaran ![]() This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. |
Journal Identifiers
pISSN: 2635-3091