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February 11, 2026LiteraOpen Access

Digital Transformation of Communicative Processes in Interaction with Large Language Models

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Authors

APAlexander Nikolaevich PolyakovDBDaria V. Bazanova

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Overview

This article explores cognitive-communicative transformations in interaction with large language models, suggesting new norms in interpretation.

Key Points

  • The aim is to identify and interpret key directions of language transformation influenced by large language models in communication.
  • Conducted a meta-analysis of existing literature on large language models.
  • Performed experimental analysis of interaction protocols with LLM systems.
  • Executed comparative analysis of communicative behavior based on dialogue structure and content.
  • Established that large language models simulate understanding without possessing cognitive experience.
  • Identified a hybrid form of discourse arising from human-LLM interaction.
  • Demonstrated that LLMs create the illusion of joint reasoning and affect communicative norms.

Cite This Study

Polyakov et al. (2026) studied this question.

synapsesocial.com/papers/698c1c73267fb587c655ee28https://doi.org/10.25136/2409-8698.2026.2.78072
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