Environmental Discourse in the “Telegram” Social Network: Methods and Means of Speech Influence

Texts covering environmental problems act as translators of socially significant information that constructs a system of value coordinates and require comprehensive scientific understanding. The parameters of environmental discourse are considered in the «Telegram» social network. The relevance of the study is due to the need for a comprehensive study of the corpus of the latest texts, the unifying thematic component of which is nature and environmental protection. The purpose of the paper is to study the environmental discourse represented in the accounts of eco-bloggers in the Russian-language segment of the «Telegram» social network, in terms of the implementation in it of techniques of speech influence on the recipient. The functional and content complexity of the texts updated in the discursive space under study predetermined the variety of research methods used: from direct observation, continuous and random sampling, content analysis to linguopragmatic and structural-linguistic analysis of eco-blog texts. The study of eco-blogs made it possible to identify their specifics, as well as the range of methods and means of speech influence at the levels of composition and content, used by eco-bloggers in order to have a maximum impact on the worldview and behavior of the addressee and encourage him to take active actions in favor of preserving the cleanliness of the environment peace.

Authors

Institutions

Publication Details

Journal
RUDN Journal of Language Studies Semiotics and Semantics
Published
2024-12-03
DOI
https://doi.org/10.22363/2313-2299-2024-15-3-631-645
Primary Topic
Discourse Analysis and Cultural Communication
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Environmental Discourse in the “Telegram” Social Network: Methods and Means of Speech Influence

А С Мамонтов, Violetta A. Gaputina
RUDN Journal of Language Studies Semiotics and Semantics
Discourse Analysis and Cultural Communication
article

Environmental Discourse in the “Telegram” Social Network: Methods and Means of Speech Influence

А С Мамонтов, Violetta A. Gaputina
article en

Abstract

Texts covering environmental problems act as translators of socially significant information that constructs a system of value coordinates and require comprehensive scientific understanding. The parameters of environmental discourse are considered in the «Telegram» social network. The relevance of the study is due to the need for a comprehensive study of the corpus of the latest texts, the unifying thematic component of which is nature and environmental protection. The purpose of the paper is to study the environmental discourse represented in the accounts of eco-bloggers in the Russian-language segment of the «Telegram» social network, in terms of the implementation in it of techniques of speech influence on the recipient. The functional and content complexity of the texts updated in the discursive space under study predetermined the variety of research methods used: from direct observation, continuous and random sampling, content analysis to linguopragmatic and structural-linguistic analysis of eco-blog texts. The study of eco-blogs made it possible to identify their specifics, as well as the range of methods and means of speech influence at the levels of composition and content, used by eco-bloggers in order to have a maximum impact on the worldview and behavior of the addressee and encourage him to take active actions in favor of preserving the cleanliness of the environment peace.

RUDN Journal of Language Studies Semiotics and SemanticsVol. 15(3)
Pushkin State Russian language Institute (RU)
Openalex Percentile: Top 48%
Discourse Analysis and Cultural Communication
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.