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Journalism and Artificial Intelligence (AI) in the 21ST Century: End of an Era? Brown George Nathan; Egeh Christian Ugochukwu; Solomon Blessing Tsokwa; Okpalike Vivian Ifeoma; Okoye Ifenna
ALSYSTECH Journal of Education Technology Vol 4 No 3 (2026): ALSYSTECH Journal of Education Technology
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/alsystech.v4i3.11861

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.
Facebook and Public Opinion Formation in Nigeria Solomon Blessing Tsokwa; Brown George Nathan; Okpalike Vivian Ifeoma
ALSYSTECH Journal of Education Technology Vol 4 No 3 (2026): ALSYSTECH Journal of Education Technology
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/alsystech.v4i3.11862

Abstract

With more than 27 million users in Nigeria, Facebook has emerged as an influential platform for public opinion formation. This study examines how Facebook shapes public opinion in Nigeria, focusing on its content algorithm, sponsored advertisements, and user-generated content. Drawing on agenda-setting theory, social learning theory, and selective exposure theory, the study analyzes the mechanisms through which information exposure and user engagement influence public perceptions. The findings indicate that Facebook’s extensive reach, algorithmic content curation, sponsored advertising, and user-generated content substantially contribute to opinion formation. However, the platform also facilitates the dissemination of misinformation, reinforces echo chambers, and enables hate speech and incitement to violence. The study concludes that Facebook plays a significant yet potentially disruptive role in Nigeria’s public sphere. It recommends greater transparency in content algorithms, stronger fact-checking mechanisms, effective regulation of hate speech and misinformation, increased user awareness of cognitive bias, expanded media literacy campaigns, and collaboration between Facebook and government agencies to protect democratic values and institutions. The study contributes to understanding digitally mediated public opinion in Nigeria and underscores the importance of platform accountability, media literacy, and responsible user engagement.