Journalism and Artificial Intelligence (AI) in the 21ST Century: End of an Era?

Crossmark

Main Article Content


Abstract

Artificial intelligence (AI) is transforming contemporary journalism through automated news production and distribution, data analysis, and new forms of interaction between journalists and sources beyond the newsroom. However, the adoption and implications of AI in Nigerian journalism remain insufficiently understood. This study explores the impact of AI on newsrooms and examines how AI technologies can be more effectively integrated into journalistic practice. Anchored in technological determinism theory and diffusion of innovations theory, the study employed a mixed-methods approach. The findings indicate that Nigerian journalists have yet to adopt AI extensively because of unreliable electricity, limited financial resources for acquiring and maintaining AI technologies, high internet connectivity costs, and inadequate training for AI users. The study also identifies several professional and ethical concerns, including diminished journalistic creativity, insufficient human oversight, algorithmic bias, limited transparency, inadequate fact-checking, and potential threats to fairness. Despite these challenges, AI does not constitute a serious threat to professional journalism; instead, it continues to add value to journalistic practice in the digital age. The study concludes that journalists, particularly those in developing countries such as Nigeria, must adapt to technological change while maintaining appropriate professional and ethical safeguards. These findings contribute to understanding AI adoption in developing-country newsrooms and underscore the need for investment in infrastructure, capacity development, human oversight, and responsible AI governance.

Downloads

Download data is not yet available.

Citation Metrics & Similar Scopus Articles

Citation data unavailable from the configured source
Check Secondary Documents in Scopus
Open this article in Scopus, then check the Secondary documents tab. Use Manual Citation Fallback only for counts you have verified manually.
Open in Scopus
Similar Scopus Articles
Scopus
  1. Wang J. (2027)
    Analysis and Applications of Neuromorphic Memristors in Artificial Intelligence Computing
    Nano Micro Letters, 19(1)
  2. Mohamed A.N. (2027)
    Benefit of Linked-Color Imaging in Artificial Intelligence-Assisted Diagnosis of Early Gastric Cancer: A Pilot Study With Propensity Score Adjustment
    Den Open, 7(1)
  3. Aimenov Z.T. (2027)
    Artificial graphite from Shubarkol coal obtained by sublimation of carbon atoms into the gas phase followed by desublimation into high-purity graphite
    Kompleksnoe Ispolzovanie Mineralnogo Syra, 341(2), 27-35

Article Details

How to Cite
Nathan, B. G., Ugochukwu, E. C., Tsokwa, S. B., Ifeoma, O. V., & Ifenna, O. (2026). Journalism and Artificial Intelligence (AI) in the 21ST Century: End of an Era?. ALSYSTECH Journal of Education Technology, 4(3), 102-120. https://doi.org/10.58578/alsystech.v4i3.11861

References

Aljazairi, S. (2016). Robot journalism: Threat or an opportunity [Master’s thesis, Örebro University]. DiVA. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-50892

Angwin, J., Larson, J., Mattu, S., & Kirchner, L. (2016, May 23). Machine bias: There’s software used across the country to predict future criminals—and it’s biased against Blacks. ProPublica. https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing

Beckett, C. (2018, March 2). Journalism and artificial intelligence: Some notes. Media@LSE. https://blogs.lse.ac.uk/medialse/2018/03/02/journalism-and-artificial-intelligence-some-notes/

Bijker, W. E., Hughes, T. P., & Pinch, T. (Eds.). (2012). The social construction of technological systems: New directions in the sociology and history of technology (Anniversary ed.). The MIT Press.

Bradshaw, P. (2010, October 1). How to be a data journalist. The Guardian. https://www.theguardian.com/news/datablog/2010/oct/01/data-journalism-how-to-guide

Carlson, M. (2015). The robotic reporter: Automated journalism and the redefinition of labor, compositional forms, and journalistic authority. Digital Journalism, 3(3), 416–431. https://doi.org/10.1080/21670811.2014.976412

Clerwall, C. (2014). Enter the robot journalist: Users’ perceptions of automated content. Journalism Practice, 8(5), 519–531. https://doi.org/10.1080/17512786.2014.883116

European Parliament. (2017). Report with recommendations to the Commission on civil law rules on robotics (2015/2103(INL)) (A8-0005/2017). https://www.europarl.europa.eu/doceo/document/A-8-2017-0005_EN.html

Galily, Y. (2018). Artificial intelligence and sports journalism: Is it a sweeping change? Technology in Society, 54, 47–51. https://doi.org/10.1016/j.techsoc.2018.03.001

Graefe, A. (2016). Guide to automated journalism. Tow Center for Digital Journalism. https://doi.org/10.7916/D80G3XDJ

Gynnild, A. (2014). Journalism innovation leads to innovation journalism: The impact of computational exploration on changing mindsets. Journalism, 15(6), 713–730. https://doi.org/10.1177/1464884913486393

Hamilton, J. T., & Turner, F. (2009). Accountability through algorithm: Developing the field of computational journalism. Center for Advanced Study in the Behavioral Sciences. http://web.stanford.edu/~fturner/Hamilton%20Turner%20Acc%20by%20Alg%20Final.pdf

Hansen, M., Roca-Sales, M., Keegan, J., & King, G. (2017). Artificial intelligence: Practice and implications for journalism. Tow Center for Digital Journalism. https://doi.org/10.7916/D8X92PRD

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. https://doi.org/10.1016/j.chb.2017.02.022

Koolen, C., & van Cranenburgh, A. (2017). These are not the stereotypes you are looking for: Bias and fairness in authorial gender attribution. In Proceedings of the First ACL Workshop on Ethics in Natural Language Processing (pp. 12–22). Association for Computational Linguistics. https://doi.org/10.18653/v1/W17-1602

Larson, B. N. (2017). Gender as a variable in natural-language processing: Ethical considerations. In Proceedings of the First ACL Workshop on Ethics in Natural Language Processing (pp. 1–11). Association for Computational Linguistics. https://doi.org/10.18653/v1/W17-1601

Lemelshtrich Latar, N. (2018). Robot journalism: Can human journalism survive? World Scientific. https://doi.org/10.1142/10913

Leppänen, L., Munezero, M., Granroth-Wilding, M., & Toivonen, H. (2017). Data-driven news generation for automated journalism. In Proceedings of the 10th International Conference on Natural Language Generation (pp. 188–197). Association for Computational Linguistics. https://doi.org/10.18653/v1/W17-3528

Lindén, C.-G. (2017). Algorithms for journalism: The future of news work. The Journal of Media Innovations, 4(1), 60–76. https://doi.org/10.5617/jmi.v4i1.2420

Loosen, W. (2018). Four forms of datafied journalism: Journalism’s response to the datafication of society (Communicative Figurations Working Paper No. 18). Research Network Communicative Figurations. https://www.uni-bremen.de/fileadmin/user_upload/fachbereiche/fb9/zemki/media/photos/publikationen/working-papers/2018/CoFi_EWP_No-18_Loosen.pdf

Malmelin, N., & Nivari-Lindström, L. (2017). Rethinking creativity in journalism: Implicit theories of creativity in the Finnish magazine industry. Journalism, 18(3), 334–349. https://doi.org/10.1177/1464884915620272

McLuhan, M. (1964). Understanding media: The extensions of man. McGraw-Hill.

Monti, M. (2019). Automated journalism and freedom of information: Ethical and juridical problems related to AI in the press field. SSRN. https://doi.org/10.2139/ssrn.3318460

Morah, D. N., & Brown, G. N. (2024). Knowledge and adoption of artificial intelligence for effective communication by healthcare providers in Nigerian teaching hospitals. Pakistan Journal of Media Science, 5(1), 1–17.

Morah, D. N., & Okunna, C. S. (2020). Theories of communication. In C. S. Okunna (Ed.), Media and communication studies: Multiple perspectives (pp. 673–702). New Generation Publishers.

Ndiomewese, I. (2017, September 26). Experts answer 9 questions on the state of artificial intelligence in Nigeria. Techpoint Africa. https://techpoint.africa/insight/artificial-intelligence-nigeria/

Newman, N. (2019). Journalism, media and technology trends and predictions 2019. Reuters Institute for the Study of Journalism. https://doi.org/10.60625/risj-p569-h478

Newman, N., Fletcher, R., Kalogeropoulos, A., Levy, D. A. L., & Nielsen, R. K. (2018). Reuters Institute digital news report 2018. Reuters Institute for the Study of Journalism. https://doi.org/10.60625/risj-f09r-ca66

Olanrewaju, B. (2018). Artificial intelligence and Nigeria dearth system. Nigerian NewsDirect. http://nigeriannewsdirect.com/96246-2/

Ombelet, P.-J., Kuczerawy, A., & Valcke, P. (2016). Employing robot journalists: Legal implications, considerations and recommendations. In Proceedings of the 25th International Conference Companion on World Wide Web (pp. 731–736). International World Wide Web Conferences Steering Committee. https://doi.org/10.1145/2872518.2890093

Osoba, O. A., & Welser, W., IV. (2017). An intelligence in our image: The risks of bias and errors in artificial intelligence. RAND Corporation. https://doi.org/10.7249/RR1744

Peretti, M. (2019, July 11). How AI could shape the future of journalism. Google. https://blog.google/company-news/outreach-and-initiatives/google-news-initiative/how-ai-could-shape-future-journalism/

Tandoc, E. C., Jr., & Thomas, R. J. (2015). The ethics of web analytics: Implications of using audience metrics in news construction. Digital Journalism, 3(2), 243–258. https://doi.org/10.1080/21670811.2014.909122

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. https://doi.org/10.1080/17512786.2012.667268

Van de Weghe, T. (2018, December 7). 10 things about AI every newsroom should know: Preparing your newsroom for the artificial intelligence revolution. Medium. https://medium.com/jsk-class-of-2019/10-things-about-ai-every-newsroom-should-know-19745dac8ad7

Veglis, A., & Bratsas, C. (2017). Towards a taxonomy of data journalism. Journal of Media Critiques, 3(11), 109–121. https://doi.org/10.17349/jmc117309

Waleed, A., & Hassoun, M. (2019). Artificial intelligence and automated journalism: Contemporary challenges and new opportunities. International Journal of Media, Journalism and Mass Communications, 5(1), 40–49. https://doi.org/10.20431/2454-9479.0501004

Wang, W., & Siau, K. (2018). Ethical and moral issues with AI: A case study on healthcare robots. In Proceedings of the 24th Americas Conference on Information Systems (pp. 1–5). Association for Information Systems. https://aisel.aisnet.org/amcis2018/AdvancesIS/Presentations/21/

Williams, R., & Edge, D. (1996). The social shaping of technology. Research Policy, 25(6), 865–899. https://doi.org/10.1016/S0048-7333(96)00885-2

Zangana, A. (2017). The impact of new technology on the news production process in the newsroom [Doctoral dissertation, University of Liverpool]. University of Liverpool Repository. https://doi.org/10.17638/03008664

Most read articles by the same author(s)