Issue |
E3S Web Conf.
Volume 376, 2023
International Scientific and Practical Conference “Environmental Risks and Safety in Mechanical Engineering” (ERSME-2023)
|
|
---|---|---|
Article Number | 05054 | |
Number of page(s) | 7 | |
Section | V Socio-cultural, Political, Economic, and Legal Issues Related to Environmental Stewardship | |
DOI | https://doi.org/10.1051/e3sconf/202337605054 | |
Published online | 31 March 2023 |
Evocative content-slice of mediadiscourse in forecasting of sustainable development events
Chelyabinsk State University, 454001 Chelyabinsk, Russia
* Corresponding author: markonovalova@icloud.com
The article is devoted to the use of an evocative content-slice in the mediadiscourse for forecasting of sustainable development events. This research toolkit was developed on the basis of evocative representation and is a matrix of collective consciousness, systematizing the relationship of cognitive categories and types of intellectual concept. Cognitive categories and types of intellectual concept were identified in the course of media discourse studies preceding this work in order to identify discursive topics. The matrix of collective consciousness was successfully applied in the development of environmental issues in the media discourse, which provided a theoretical and practical basis for further application on the empirical material of mediatexts on the issues of sustainable development. The study analyzed about five hundred mediatexts for the period from 2020 to 2021. The analyzed empirical material provided an opportunity to study the issue of creating a basis for predicting the events of sustainable development, represented in the mediatexts of electronic media, according to the selected topics of the media discourse, to distribute them into cognitive categories and types of intellectual concept.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.