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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Research in the Era of Generative AI: Investigating Editorial Responses of Nigerian Communication Journals

Authors: Shadrach, Idi; Maikomo, John Moses;

Research in the Era of Generative AI: Investigating Editorial Responses of Nigerian Communication Journals

Abstract

The rapid adoption of generative artificial intelligence (AI) tools like ChatGPT in drafting text including manuscript has raised pressing questions about academic integrity and ethical publishing worldwide. This study investigated the preparedness of Nigerian communication journals to regulate the ethical use of AI in research and manuscript submissions. Using a triangulation approach, the study combined document review of editorial and publishing policies from ten Nigerian communication journals with in-depth interviews involving five journal editors. Data were thematically analysed to identify explicit policy references to AI, editors’ personal initiatives, and challenges hindering effective regulation. Findings revealed that while most journals emphasise originality and prohibit plagiarism, explicit references to AI use remain largely absent. Interviews further showed that editors had not taken proactive initiatives to regulate AI, instead leaning heavily on existing guidelines that were not designed with AI in mind. Key challenges included infrastructural deficits, financial constraints, and poor AI literacy particularly among older senior editors limiting the ability to implement or enforce AI-related policies. The study recommends urgent policy revisions, capacity building, and institutional collaboration to strengthen AI governance in Nigerian scholarly publishing and safeguard the integrity of communication research. Keywords: Generative AI, Editorial Policies, Research Ethics, Communication, Journals, Nigeria

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green