Framework For Mitigating the Risks of Synthetic Media and Misinformation in Nigerian Political Communication

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Authors: Titi J. Fola-Adebayo, Babatunde Raphael Ojebuyi, Tayo Raymond Ezekiel Eegunlusi, Olayinka Abimbola Egbokhare, Oluwayemisi Olusola Adebomi, Oluchi Ojinamma Okere, Funmilayo Mabel Oguntade, Peter Adebayo Aborisade, Funmilayo Omolabake Olubode-Sawe, Akindeji Ibrahim Makinde, Adamkolo Mohammed Ibrahim, Abimbola O. Ogunduyile
+1 more Mayokun Joyce Olowoniyi
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Abstract

Deepfakes, synthetic media, and other manipulated media generated through artificial intelligence and used with malicious intent have the potential to threaten national unity by causing social unrest and eroding trust, particularly during elections. The evolution of synthetic media in political communication worsens misinformation by increasing voter manipulation and bias. The trend of using manipulated information during the campaign season in Nigeria demands attention, especially in respect to mitigation techniques. This study, thus, proposes a framework for mitigating risks associated with synthetic media and misinformation in Nigerian political communication using a qualitative systematic review design. A systematic synthesis of existing literature on fake news mitigation strategies within the context of synthetic media (deepfakes) indicates that a multi-dimensional socio-technical framework is the best roadmap for policymakers, election managers, tech companies, and civil society to safeguard Nigeria’s democratic processes from the threat of manipulated media.

Fields of Study & Subjects

Misinformation and Its Impacts Social Media and Politics Spam and Phishing Detection

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 February 2026
Language
EN