A Comprehensive Analytical Framework for Understanding Disinformation Campaigns Targeting Public Authorities and Government Institutions
Keywords:
Disinformation, Public Authorities, Computational Propaganda, Echo ChambersAbstract
Disinformation campaigns targeting public authorities and government institutions represent a systemic challenge to democratic governance, institutional trust, and information integrity in digitally mediated societies. This paper proposes a comprehensive analytical framework for understanding the structural, communicative, and technologica l dimensions of disinformation ecosystems directed at public institutions. Drawing upon interdisciplinary scholarship in political communication, computational propaganda, and information disorder, the study synthesizes existing theoretical perspectives to construct a multi-layered model of disinformation propagation, amplification, and institutional impact. The framework integrates socio-political vulnerability factors, algorithmic amplification mechanisms, and behavioral dynamics within online information environments. Special emphasis is placed on the role of echo chambers and algorithmically reinforced polarization, as highlighted in prior empirical research on social media ecosystems (Cinelli, M., Morales, G. D. F., Galeazzi, A., Quattrociocchi, W. and Starnini, M., 2021). The study employs a conceptual synthesis methodology based on qualitative content analysis and grounded theory approaches to derive structural patterns across existing literature. Findings indicate that disinformation targeting public authorities is not merely content-driven but structurally embedded within networked communication systems, institutional trust deficits, and strategic political manipulation. The proposed framework contributes to enhancing analytical clarity for policymakers and researchers by offering a scalable model for detection, classification, and mitigation of disinformation threats. The study concludes with implications for governance, digital resilience, and future interdisciplinary research directions.
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