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Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Receipt the Compiler: Propaganda as Hidden Epistemic Policy and the Architecture of Legible Memory

Authors: Beck, James;

Receipt the Compiler: Propaganda as Hidden Epistemic Policy and the Architecture of Legible Memory

Abstract

Propaganda is conventionally understood as the injection of false content into public discourse. This framing is insufficiently precise. The primary attack surface of effective propaganda is not the data layer but the policy layer: the rules governing how evidence is integrated into public memory. We formalize this using a receipted semantic factor graph in which event nodes, receipt nodes, frame nodes, policy nodes, and decision nodes are explicitly typed and separately maintained. Retrospective reinterpretation — semantic retrocausality — is shown to be a normal and necessary feature of any belief-revision system operating over time. We define an epistemic governor as a set of typed constraints requiring that all updates to the semantic graph produce auditable receipts. The counter-propaganda move is not better evidence; it is legible epistemic policy.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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