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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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Аффект или идеология: влияние политической поляризации на восприятие интернет-троллинга

Политическая наука. 2023. № 3. С. 230–251.
Шилина А. Н.

Two types of political polarization – affective and ideological – are in focus of this study. These types of polarization are supposed to influence perception of political internet trolling. The purpose of this study is to identify the role of affective and ideological polarization in perception of trolls who support either government or opposition. We conducted a survey (N = 200) among users of Russian social media VK. During survey we showed our respondents vignettes with examples of troll-inflated conversations. These vignettes were prepared based on indicators of trolling: provocation (aggression), mockery (sarcasm), spam, usage of templates and identification with trolls by other users. The dependent variable is the respondents’ positive answer that the example of conversation is trolling. We also asked several questions to identify respondents’ political views and perceived level of affective polarization. Then we created two independent variables – distance between trolls’ and respondents’ political positions and mean level of perceived affective polarization. We used probit-regression to measure the effect of these independent variables on respondents’ answer. As the result, we observe a statistically significant effect of ideological polarization on the perception of trolling. Hypothesis about the influence of affective polarization on the respondents’ answers was not confirmed. This research is supported by the Russian Science Foundation under grant no. 21-78-00079, https://rscf.ru/projects/21-78-00079/

Research target: Political Science, International Relations, and Public Administration
Language: Russian
DOI
Text on another site
Keywords: политические коммуникацииполитические представления social mediapolitical viewsвосприятие информациисоциальные медиа в Россииаффективная поляризацияaffective polarizationselective perceptionpolitical communicationsinternet trollingинтернет-троллинг
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