Open AccessLinguistic Personological marker of Ordinary Political Discourse (on the example of Russian Internet comments)
Author(s) -
Samal Zhanatkyzy Yergaliyeva,
Kuanysh Sovetuly Yergaliyev,
Natalia Melnik
Publication year - 2020
Publication title -
ķaraġandy universitetiniṇ habaršysy. filologiâ seriâsy/k̦araġandy universitetinin̦ habaršysy. filologiâ seriâsy
Language(s) - English
Resource type - Journals
eISSN - 2663-5127
pISSN - 2518-198X
DOI - 10.31489/2020ph2/19-26
Subject(s) - linguistics , the internet , politics , subject (documents) , linguistic analysis , personality , psychology , persona , sociology , computer science , political science , social psychology , world wide web , law , philosophy , human–computer interaction
The article is devoted to the results of a linguistic-personal research conducted on the basis of political Internet commentaries published on Russian sites. The article considers such aspects of the topic as: Internet communication, text-derivatology, linguistic-personology. In this study, special attention is paid to the virtual linguistic persona, reconstructed on the basis of their political Internet comments which manifest the linguistic abilities in the mental and psychological aspect. Methods of comparative-contrastive, descriptive methods and the method of quantitative estimation were applied in order to study this subject, and the research is based on the text-derivative analysis of derived texts, which are considered in the formal, content and functional plans. The purpose of the study is to determine the factors of personal text generation of Russian political Internet comments in the linguistic-personalological aspect. In the proposed article, a linguistic personality is reconstructed on the basis of political internet comments which reflect her linguistic abilities. In the course of linguistic analysis, the following methods were used: linguistic description, derivatological analysis technique, sampling method. As a result of analysis of political Internet comments, the parameters of the personal factor of text generation were revealed.