Algorithmic Disinformation Campaigns, Hyper-Partisan Mobilization, and the Destabilization of Democratic Governance in Post-Conflict Transitions

Global Journal of Peace and Conflict Studies | Vol. 13, No. 1, January 2022 | pp. 1–9

DOI: 10.46882/2022/GJPCS/130101

Article Type: Original Research Paper

Title: Algorithmic Disinformation Campaigns, Hyper-Partisan Mobilization, and the Destabilization of Democratic Governance 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 proliferation of state-backed computational propaganda and targeted disinformation campaigns has altered contemporary political communication networks and heightened identity-based polarization in fragile states. This paper investigates the digital mechanisms through which hyper-partisan internet networks manipulate public sentiment and amplify ethno-political divisions during electoral cycles. Employing a cross-national quantitative content analysis of approximately 850,000 localized political posts, we track the spread of inflammatory alternative facts 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: Algorithmic Disinformation; Hyper-Partisan Media; Computational Propaganda; Polarization; Algorithmic Design; Civil Discourse

Manuscript Timeline: Received: August 20, 2020; Revised: November 02, 2020; Accepted: December 18, 2020; Published: January 12, 2022

Citation: Bernstein, S. L., & Jayawardene, R. S. (2022). Algorithmic Disinformation Campaigns, Hyper-Partisan Mobilization, and the Destabilization of Democratic Governance in Post-Conflict Transitions. Global Journal of Peace and Conflict Studies, 13(1), 1–9. DOI: 10.46882/2022/GJPCS/130101

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