Intelligence Analysis: The Psycholinguistic Signature of the Author in Open-Source Investigations
Year: 2026
Type: article
Abstract: In an information-saturated environment, where open-source information is abundant, the real challenge for the security of the information ecosystem is no longer access to data, but establishing its anonymous authorship. This paper advances the thesis that, beyond the walls of digital anonymity, the human mind betrays its presence through the involuntary nuances of language. By examining the concept of "psycholinguistic signature", the article highlights a new form of identity, showing that deep cognitive patterns - shaped by lexical choice, syntactic complexity, temporal flow, and emotional markers - exhibit remarkable stability. Even when there are deliberate attempts to manipulate the communicative register or to conceal identity, these linguistic traces remain constant, offering a robust tool for identifying and profiling authors. Psycholinguistic analysis thus emerges as an essential methodology for turning the digital echo into reliable behavioral evidence within the information ecosystem.
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $53
OpenAlex ID: W7160059810
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