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  • Кто виноват и что делать: анализ комментариев к фильмам о бесланском теракте
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September 21, 2026
Researchers Develop Methodology to Assess the Quality of Legal Representation in Criminal Proceedings
Having a good defence attorney in criminal proceedings can largely determine whether a defendant retains their freedom, health and good name. Researchers at HSE University propose a method for predicting an attorney’s performance based on the outcomes of their previous cases. The methodology takes into account the severity of the charges, the complexity of the cases, and the most likely outcome, drawing on judicial statistics.
September 21, 2026
Algebra, Geometry, and AI: Russian and Vietnamese Mathematicians Discuss Current Research
A delegation of scientists from Hanoi visited the HSE Faculty of Computer Science and then took part in a Russian-Vietnamese conference in St Petersburg. The events were part of the three-year project ‘Flexibility and Computational Methods.’ Over the course of the project, the researchers have prepared joint publications and obtained new mathematical results.
September 18, 2026
When Pictures Hinder Understanding: Illustrations May Impede Learning of Abstract Ideas
Illustrations can help remember specific actions but do not always make abstract ideas easier to learn. Researchers from HSE University and Humboldt University compared how people learn from texts with different levels of abstractness. They found that participants remembered illustrations better and performed better on related tasks after reading a multimedia text about yoga asanas than after reading an abstract text about the Nash equilibrium. The findings could help improve the selection of illustrations for educational and informational materials. The study has been published in Learning and Instruction.

 

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Кто виноват и что делать: анализ комментариев к фильмам о бесланском теракте

Социальная психология и общество. 2021. Т. 12. № 3. С. 74–86.
Smirnov N.

Objective. Analysis of YouTube comments to documentaries about the fifteenth anniversary of the Beslan school siege. Background. Amid reactivation of the Beslan discourse, demand for social reflection of the tragedy is increasing. It seems relevant to address nonreactive data to evaluate framing perception. Study design. Using random forest modeling we examine the content of YouTube comments to evaluate their specific characteristics. Data. Array of comments to Yuri Dud, Ksenia Sobchak and Novaya Gazeta films about Beslan (N=141,966, upload date: 02/29/2020, parsing loss<1% of the total). Measurements. Random forest modeling for textual data. Results. In the comments to all three films, blame is mainly reattributed to the state. The moral performatives are different: in the comments to Y. Dud and K. Sobchak’s films there are appeals for helping victims of the terrorist attack; in the case of Novaya Gazeta — to the punishment of the guilty. Conclusions. The Beslan tragedy turns out to be a serious point of social dissociation, there is neither rallying around the state nor a consensus on how to heal the trauma

Research target: Political Science, International Relations, and Public Administration Psychology Media and Communications Sociology (including Demography and Anthropology
Language: Russian
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DOI
Text on another site
Keywords: Бесланcollective traumaколлективная травмаслучайный лесrandom forestфреймированиеBeslan siegeframing perception
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