Large-Scale Language Models and Communication: Powers, Limits, and Informational Disputes in the AI ​​Age

Authors

DOI:

https://doi.org/10.11606/issn.2965-7474.v1i6p%25p

Keywords:

Language models, artificial intelligence, digital communication, informational justice, algorithmic ethics

Abstract

This article discusses how Large-Scale Language Models (LLMs) have been... This text discusses the impact of LLMs (Language Models) on the field of contemporary communication by reconfiguring symbolic production, informational flows, and the socio-technical dynamics of discourse. From a critical perspective, it analyzes the algorithmic nature of these systems, their practical applications, the ethical and political dilemmas involved, as well as the structural limitations and risks to communicational diversity. Considering authors such as Alves, Bruno, Crawford, and Coeckelbergh, it argues that LLMs not only automate linguistic processes but also contest the field of meaning, affecting plurality, authorship, and public trust. The text proposes guidelines for an ethical and democratic governance of artificial intelligence, based on informational justice and public commitment.

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Author Biographies

  • Sushila Claro, University of São Paulo

    University of São Paulo (PhD in Education, Language and Psychology), Faculty of Education, São Paulo, SP, Brazil
    ORCID 0000-0002-4165-6132

  • Vinícius Sarralheiro, University of São Paulo

    University of São Paulo (PhD Candidate in Communication Sciences), School of Communications and Arts, São Paulo, SP, Brazil
    ORCID 0000-0002-9268-3173

  • Acácio Vinicius Bianchi, University of São Paulo

    University of São Paulo (Undergraduate in Public Relations), School of Communications and Arts, São Paulo, SP, Brazil
    ORCID 0009-0004-4671-5746

Published

2025-12-27

How to Cite

Claro, S., Sarralheiro, V. ., & Bianchi, A. . (2025). Large-Scale Language Models and Communication: Powers, Limits, and Informational Disputes in the AI ​​Age. Interface Communication Review , 1(6). https://doi.org/10.11606/issn.2965-7474.v1i6p%p