Multimodal Generative Disinformation networks, Algorithmic Computational Censorship, and the Sabotage of Constitutional Trust in Post-Conflict Transitions

Global Journal of Peace and Conflict Studies | Vol. 15, No. 1, January 2025 | pp. 1–9

DOI: 10.46882/2025/GJPCS/150101

Article Type: Original Research Paper

Title: Multimodal Generative Disinformation networks, Algorithmic Computational Censorship, and the Sabotage of Constitutional Trust in Post-Conflict Transitions

Authors: Sarah L. Bernstein¹, Ranil S. Jayawardene²

Authors’ Affiliations: ¹Oxford Internet Institute, University of Oxford, Oxford, United Kingdom; ²Department of Political Science, University of Colombo, Colombo, Sri Lanka

Abstract:
The rapid global deployment of multi-modal generative AI pipelines and highly automated computational propaganda channels has structurally altered contemporary political communication networks and accelerated identity-based polarization in fragile states. This paper investigates the digital mechanisms through which deepfake multimedia networks manipulate public sentiment and amplify ethno-political divisions during electoral cycles. Employing a cross-national quantitative content analysis of approximately 1,250,000 localized political posts, we track the spread of automated, micro-targeted alternative narratives across digital spaces during recent constitutional transitions. The empirical results demonstrate that social media algorithms engineered to maximize user engagement disproportionately prioritize emotionally volatile content, creating isolated ideological echo chambers. Statistical correlation modeling establishes that a 20% increase in localized network exposure to verifiably false political rumors precedes spikes in urban civil unrest by a predictable 24-hour window (r = 0.71, p < 0.01). The study highlights how traditional civil society organizations are systematically marginalized within these digital architecture frameworks. We conclude that mitigating digital radicalization requires shifting from reactive content moderation toward imposing legally binding transparency requirements on algorithmic design models.

Keywords: Generative Disinformation; Computational Propaganda; Algorithmic Polarization; Digital Sabotage; Civil Discourse; Democratic Trust.

Manuscript Timeline: Received: November 15, 2022; Revised: January 18, 2023; Accepted: March 02, 2023; Published: January 12, 2025

Citation: Bernstein, S. L., & Jayawardene, R. S. (2025). Multimodal Generative Disinformation networks, Algorithmic Computational Censorship, and the Sabotage of Constitutional Trust in Post-Conflict Transitions. Global Journal of Peace and Conflict Studies, 15(1), 1–9. DOI: 10.46882/2025/GJPCS/150101

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