Feedback International Journal of Communication
Vol. 3 No. 1 (2026): March 2026

Expert Perspectives on Detecting Fake News and Misinformation Governance Using Generative Artificial Intelligence in Nigeria: A Qualitative Exploratory Study

Adamkolo Ibrahim (University of Maiduguri)
Babatunde Ojebuyi (University of Ibadan)
Titi Fola-Adebayo (Federal University of Technology)
Akindeji Makinde (Federal University of Technology)
Olayinka Egbokhare (University of Ibadan)
Peter Aborisade (Federal University of Technology)
Joyce Olowoniyi (Federal University of Technology)
Tayo Eegunlusi (Federal University of Technology)
Oluwayemisi Adebomi (Federal University of Technology)
Oluchi Okere (Federal University of Technology)
Funmilayo Oguntade (Federal University of Technology)
Funmilayo Olubode-Sawe (Federal University of Technology)
Abimbola Ogunduyile (Federal University of Technology)



Article Info

Publish Date
15 Mar 2026

Abstract

The rapid spread of misinformation in digital communication environments presents significant challenges to information integrity, particularly in emerging media ecosystems such as Nigeria. Recent developments in generative artificial intelligence (GenAI) have introduced new possibilities for detecting and managing misleading information across digital platforms. This study investigates how generative AI can contribute to governing information integrity within Nigeria’s misinformation ecosystem from a communication perspective. Using an exploratory qualitative approach, the study draws on in-depth interviews with experts in artificial intelligence, machine learning, digital media, and information governance. The findings reveal that generative AI can enhance the monitoring of misinformation by identifying misleading narratives, analyzing persuasive message patterns, tracking the spread of viral content, and supporting real-time verification processes in journalism and fact-checking. However, the study also shows that the effectiveness of AI technologies depends on contextual adaptation, ethical governance, and collaboration among stakeholders. AI systems alone cannot fully address misinformation challenges without the support of media literacy initiatives and institutional communication strategies. The study concludes that generative AI can play a significant role in strengthening information integrity within digital public communication.

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Journal Info

Abbrev

fijc

Publisher

Subject

Languange, Linguistic, Communication & Media Social Sciences

Description

Feedback International Journal of Communication (FIJC) is a peer-reviewed scholarly journal committed to disseminating high-quality research in communication studies, media, journalism, public relations, digital communication, political communication, organizational communication, interpersonal ...