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Misinformation Dynamics in Social Networks

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  • Jeff Murugan

Abstract

Information transmitted across modern communication platforms is degraded not only by intentional manipulation (disinformation) but also by intrinsic cognitive decay and topology-dependent social averaging (misinformation). We develop a continuous-fidelity field theory on multiplex networks with distinct layers representing private chats, group interactions, and broadcast channels. Our analytic solutions reveal three universal mechanisms controlling information quality: (i) groupthink blending, where dense group coupling drives fidelity to the initial group mean; (ii) bridge-node bottlenecks, where cross-community flow produces irreversible dilution; and (iii) a network-wide fidelity landscape set by a competition between broadcast truth-injection and structural degradation pathways. These results demonstrate that connectivity can reduce information integrity and establish quantitative control strategies to enhance fidelity in large-scale communication systems.

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  • Jeff Murugan, 2025. "Misinformation Dynamics in Social Networks," Papers 2511.18733, arXiv.org.
    • Handle: RePEc:arx:papers:2511.18733
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    File URL: http://arxiv.org/pdf/2511.18733
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