Synthetic Deception and Democratic Fragility: Artificial Intelligence, Deepfakes, and Electoral Security in Nigeria's 2027 General Elections

Abstract

Nigeria's 2027 general elections will unfold in an information environment qualitatively different from any preceding electoral cycle. The accelerating accessibility of generative artificial intelligence tools has placed deepfake production capabilities within reach of actors who previously lacked the technical capacity for sophisticated political manipulation. This paper examines the intersection of AI-generated synthetic media, electoral security, and democratic governance in Nigeria, drawing on qualitative analysis of documented disinformation incidents from the 2023 general elections, regional comparisons from African electoral contexts, and scholarly literature on computational propaganda, epistemic harm, and election integrity. Anchored in the epistemic security framework and drawing supplementarily from structural-functionalist perspectives on institutional resilience, the analysis argues that the threat deepfakes pose to Nigerian electoral integrity is less a purely technological challenge than a governance failure compounded by institutional weakness, low public media literacy, and the historical normalisation of electoral manipulation. The paper finds that existing Nigerian legal and regulatory frameworks are inadequate to address AI-generated disinformation at election time, that the Independent National Electoral Commission (INEC) lacks the technical infrastructure to detect or respond to synthetic media at scale, and that partisan deployment of AI tools is likely to intensify in 2027 given competitive political conditions. Rather than proposing techno-optimist fixes, the paper argues for a multi-layered preparedness strategy combining regulatory reform, civil society-led prebunking, and regional cooperation under the Economic Community of West African States (ECOWAS) digital governance architecture. The paper contributes to a thin but growing body of Africa-focused scholarship on AI, disinformation, and electoral security.