Influence of AI-Generated Deepfakes and Synthetic Media on Scientific and Public Consensus: A Case Study of Taraba State, Nigeria

Artificial-intelligence tools capable of producing photorealistic deepfakes and manipulated scientific or health imagery have advanced faster than the institutional, educational, and regulatory mechanisms meant to detect them, raising the question of how such synthetic content shapes scientific and public consensus. This paper offers a structured narrative synthesis of scholarship spanning 2014 to 2026, drawing particular attention to sources from 2020 through 2026, examining how deepfakes and synthetic media influence trust, consensus acceptance, and unaided human detection ability, and situating global findings within Nigeria's information ecosystem. Sources were identified through academic search platforms (including ScienceDirect, Wiley Online Library, PubMed/PMC, and arXiv) and credible Nigerian fact-checking and legal-analysis outlets, screened for relevance to detection accuracy, consensus, or trust outcomes, and synthesized narratively. Across the reviewed literature, unaided human detection of deepfakes consistently approximates chance level and is frequently accompanied by overconfidence, technical labellings and awareness campaigns alone show limited effect, while structured, feedback-based media-literacy training shows the most consistent improvement. Nigerian evidence indicates that fact-checking organizations rely on forensic software rather than unaided judgement to confirm manipulation, that synthetic content has already been used to inflame ethnic and political tension, and that community-anchored trust structures may matter as much as technical verification capacity. The review concludes that addressing deepfake-driven threats to scientific and public consensus in contexts such as Taraba State, Nigeria, requires coordinated institutional, educational, and community-based responses rather than technological solutions alone, and it offers recommendations for tertiary institutions, health authorities, broadcast media, policymakers, and community structures.