Year: 2025
Type: article
Abstract: The article examines the features of implementing the category of politeness in business correspondence generated by specialized AI services based on neural network models. The object of the study is the category of politeness. The subject of the study includes the methods of realizing this communicative category in business correspondence used by specialized AI services. The material consists of letters generated by the Mitap AI service. These letters are analyzed from the perspective of etiquette formulas, mitigating constructions, and strategies of positive and negative politeness. Both universal methods of increasing politeness and specific strategies for particular genres of business correspondence are considered. The research results show that AI excessively uses traditional politeness formulas at the beginning and end of letters, employs both positive and negative politeness, and applies various techniques to soften tone. Instances of calquing from the English corpus and errors related to the specifics of the training material have been identified. It is concluded that the widespread practice of generating letters using AI may lead to the formation of new communication patterns and influence standards of digital etiquette.
Source: Communication Studies
Author: Olga V. Lukinova
Institution: Moscow School of Social and Economic Sciences
Language: English
Subfield: Language and Linguistics
Field: Arts and Humanities
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W7204890141