Challenges and Prospects of Artificial Intelligence in Nigerian Journalism Practice: A Narrative Review

Page Numbers: 110-124
Digital Object Identifier: 10.58578/alsystech.v2i2.2946
Save this to:
Article Metrics:
Viewed : 213 times
Downloaded : 120 times
Article can trace at:

Author Fee:
Free Publication Fees for Foreign Researchers (0.00)

Please do not hesitate to contact us if you would like to obtain more information about the submission process or if you have further questions.

  • Chiakaan Jacob Gbaden Taraba State University, Jalingo, Nigeria
  • Sarah Gambo University of Abuja, Nigeria
  • Woyopwa Shem Taraba State University, Jalingo, Nigeria


The integration of artificial intelligence (AI) into Nigerian journalism practices presents both challenges and prospects for the industry. This paper explores the dynamic interplay between AI technologies and journalism in Nigeria, addressing key conceptual clarifications, theoretical frameworks, challenges, and prospects associated with AI utilization in the field. Drawing upon existing literature, the study examines the multifaceted nature of AI, ranging from its conceptual underpinnings to its practical applications in journalism. It utilizes the Technology-Organization-Environment (TOE) framework to analyze the factors influencing AI adoption within Nigerian newsrooms, considering technological, organizational, and environmental contexts. Identifying challenges such as infrastructural limitations, financial constraints, cultural resistance, and ethical considerations, the paper elucidates the complexities inherent in AI integration in Nigerian journalism. These challenges encompass issues of data quality, transparency, bias, and accountability, underscoring the need for responsible AI implementation and robust ethical frameworks. Additionally, the paper discusses the prospects offered by AI in enhancing journalistic efficiency, facilitating data-driven reporting, personalizing news delivery, and combating misinformation. By leveraging AI for fact-checking, multilingual reporting, predictive analytics, and automated content generation, Nigerian journalists can innovate and adapt to the evolving media landscape. Moreover, AI presents opportunities for improving audience engagement, storytelling, collaboration, and addressing bias and ethics concerns. Embracing AI in journalism also creates educational pathways for aspiring journalists, fostering skill development and innovation in the industry.

Keywords: Challenges; Prospects; Artificial Intelligence; Journalism; Nigeria

Citation Metrics:


Download data is not yet available.
How to Cite
Gbaden, C. J., Gambo, S., & Shem, W. (2024). Challenges and Prospects of Artificial Intelligence in Nigerian Journalism Practice: A Narrative Review. ALSYSTECH Journal of Education Technology, 2(2), 110-124.


Hadwer, Ali, Madjid Tavana, Dan Gillis, and Davar Rezania, D. (2021), A systematic review of organizational factors impacting cloud based technology adoption using Technology-Organization-Environment framework. Internet of Things 15, 100407
Aljazairi, S. (2016). "Robot Journalism: Threat or an Oppoturnity." MA thesis submitted to Örebro University, School of Humanities, Education and Social Sciences May 2016.
Galily, Y. (2018). Artificial intelligence and sports journalism: Is it a sweeping change?. Technology in society, 54, 47-51.
Hintze, A. (2016). Understanding the four types of AI, from reactive robots to self-aware beings. The Conversation, 14.
Hussain, A. (2023). Use of artificial intelligence in the library services: prospects and challenges. Library Hi Tech News, 40(2), 15-17.
Jung, J., Song, H., Kim, Y., Im, H., & Oh, S. (2017). Intrusion of software robots into journalism: The public's and journalists' perceptions of news written by algorithms and human journalists. Computers in human behavior, 71, 291-298.
Latar, N. L. (2018). Are AI’s limitations creating new opportunities for human journalists?. In Robot Journalism: Can Human Journalism Survive? (pp. 11-28).
Lopezosa, C., Codina, L., Pont-Sorribes, C., & Vállez, M. (2023). Use of generative artificial intelligence in the training of journalists: challenges, uses and training proposal. Profesional de la información, 32(4).
Manning, C. (2022) Artificial intelligence definition. Retrieved from on 18 August, 2023
Mark, H., Meritxell, R., Jon, K., & George, K. (2017). Artificial intelligence: Practice and implications for journalism. Tow Center for Digital Journalism and the Brown Institute for Media Innovation.
Misselhorn, C. (2018). Artificial morality. Concepts, issues and challenges. Society, 55, 161-169.
Monti, M. (2019). Automated journalism and freedom of information: Ethical and juridical problems related to AI in the press field. Retrieved 19th August 2023from = 3318460
Ndiomewese, I.(2017). Experts answer 9 questions on the state of Artificial Intelligence in Nigeria. Retrieved from
Newman N. (2018). Journalism, media, and technology trends and predictions. Digital news project. Retrieved14thMarch 2020 from
Nnamdi, N. C., & Nwanyanwu, M. (2021). Utilization of Artificial Intelligence in Journalism in Nigeria. KIU Journal of Social Sciences, 7(2), 205-212.
Olanrewaju. B. (2018). Artificial intelligence and Nigeria dearth system. Retrieved from On 1st September, 2023
Ombelet, P. J., Kuczerawy, A., & Valcke, P. (2016, April). Employing robot journalists: Legal implications, considerations and recommendations. In Proceedings of the 25th international conference companion on world wide web (pp. 731-736).
OpenAI. (2023, August). "AI Utilization in Journalism Prospects: Insights from ChatGPT." OpenAI. Retrieved from ChatGPT (
Osoba, O. A., Welser IV, W., & Welser, W. (2017). An intelligence in our image: The risks of bias and errors in artificial intelligence. Rand Corporation
Pereira, V., Hadjielias, E., Christofi, M., & Vrontis, D. (2023). A systematic literature review on the impact of artificial intelligence on workplace outcomes: A multi-process perspective. Human Resource Management Review, 33(1), 100857.
Ray, A. (2018). Compassionate artificial intelligence: Frameworks and algorithms. Compassionate AI Lab (An Imprint of Inner Light Publishers).
Singh, K. K. (2018, November). An artificial intelligence and cloud based collaborative platform for plant disease identification, tracking and forecasting for farmers. In 2018 IEEE international conference on cloud computing in emerging markets (CCEM) (pp. 49-56). IEEE.
Tornatzky, L.G. and Fleischer, M. (1990), Technology-organization-environment framework.” The Processes of Technological Innovation
Van Dalen, A. (2012). The algorithms behind the headlines: How machine-written news redefines the core skills of human journalists. Journalism practice, 6(5-6), 648-658.
Veglis, A. & Bratsas, C. (2017). Towards a Taxonomy of Data Journalism. Journal of Media Critiques, 3(11), 109-121
Von Krogh, G. (2018). Artificial intelligence in organizations: New opportunities for phenomenon-based theorizing. Academy of Management Discoveries, 4(4), 404-409.
Waleed A. and Mohamed, H.(2019). Artificial Intelligence and Automated Journalism: Contemporary Challenges and New Opportunities. International Journal of Media, Journalism and Mass Communications (IJMJMC). 5, (1), 40-49
Wang, W., & Siau, K. (2018).Ethical and Moral Issues with AI: A Case Study on Healthcare Robots. Twenty-fourth Americas Conference on Information Systems. Retrieved14thMarch 2020from https://www.researchgate. net/publication/325934375Zangana, A. (2017). The Impact of New Technology on the News Production Process in the Newsroom.Ph.D. Thesis, University of Liverpool. Retrieved 14th August 2023 from
Zangana, A. (2017). The Impact of New Technology on the News Production Process in the Newsroom. Ph.D. Thesis, University of Liverpool. Retrieved 14th August 2023 from