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News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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?

Дискурс социальных медиа: к проблеме интерпретации

Вопросы теории и практики журналистики. 2022. Т. 11. № 3. С. 509–527.
Yefanov A., Осокин А. А.

The subject of research in this article is the discourse of social media. The purpose of the work is to theoretically interpret the discourse of social media in the context of modern science and practice of media communications. As part of the study, the discourse of social media is studied taking into account the features of the platforms for its production and storage, as well as the form in which it appears before the subjects (its creators and, paying attention to the ability of Internet users to smoothly and flexibly change their roles in the social media subfield, consumers). The work uses a set of methods: comparative analysis, systematization, interpretative analysis. Based on the results of the study, it is concluded that the social media discourse is an institutional type of discourse that exists within the framework of online communication, which is characterized by the synthesis of oral and written speech, as well as the products of its activities and the multimodality of the media text, predetermined by the technological features of social media, communication in which, unlike electronic communication in general, is based on the principle of participation. Based on the fact that the study attempts to clarify the definition of social media discourse, taking into account the specific features of its distribution platforms, the authors emphasize that all Internet services related to social media have special characteristics that make it possible to distinguish them from the total number of Internet services, resources that exist in the global network. The definition of the discourse of social media, indicated on the basis of the results of the study, allows us to expand the understanding of this category in modern media communications.

Research target: Media and Communications
Language: Russian
DOI
Text on another site
Keywords: социальные сетиsocial networksкоммуникацияcommunicationдискурсInternetсоциальные медиаdiscoursesocial mediaИнтернет
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