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Subject
News
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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Engagement and constructiveness in online news comments in English and Russian

Text & Talk. 2023. Vol. 43. No. 2. P. 235–262.
Trnavac R., Taboada M.

Abstract: We investigate the relationship between Engagement and constructiveness in online news comments by analyzing the frequency and type of Engagement expressions in a corpus of English and Russian comments, following the Appraisal framework. The comments in question, 10,000 words in each language, are posted in response to opinion articles in the Canadian newspaper The Globe and Mail and the Russian online news channel RT. In the context of online news comments, users generally characterize constructive comments as posts that intend to create a civil dialogue through remarks that are relevant to the article and not intended to provoke an emotional response. Through quantitative and qualitative analyses, we conclude that the language of constructive comments is more explicitly subjective in both languages. The main difference in the use of Engagement expressions in constructive and non-constructive comments is along the lines of certainty/uncertainty and reliability/unreliability. As for cross-linguistic differences, it seems that English constructive comments place emphasis on the reliability of a commenter’s knowledge while Russian constructive comments employ more modals of necessity, which have a prescriptive function.

Research target: Philology and Linguistics
Language: English
DOI
Text on another site
Keywords: English languageRussian languagemodalitycommentsconstructivenessepistemic stanceEngagement
Publication based on the results of:
Standard and Non-standard Russian Speech: Consistency and Variability (2023)
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