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September 22, 2026
Personal Interest in Doctoral Thesis Topic Most Important for Confidence in Successful Defence
A researcher at HSE University analysed data on 1,539 doctoral students from 161 Russian universities to identify which features of a thesis topic are associated with academic success and engagement. The most important factor was found to be personal interest in the research topic, which was associated with almost all key aspects of doctoral programme experience—from engaging with the academic supervisor to research activity and confidence about successfully defending the thesis. The findings have been published in Higher Education.
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.

 

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Искусственный интеллект и человеко-машинная коммуникация: вызов исследованиям медиатизации

Вестник Российского университета дружбы народов. Серия: Литературоведение, журналистика. 2025. Т. 30. № 4. С. 813–823.
Nim E.

The development of artificial intelligence technologies, including communicative AI, has become a serious challenge for mediatization studies. The article explores the limits of applicability of the mediatization research program and Andreas Hepp's figurational approach to automated (human-machine) communication. The author poses and consistently develops three research questions: (1) how do mediatization studies consider AI as a subject of theoretical and empirical analysis; (2) what are the potential and limitations of the figurational approach to human-machine communication; (3) what are the possible directions for reassembling this approach (and the mediatization program as a whole) in the era of communicative AI. Critical understanding of mediatization theory, and in particular, Andreas Hepp's figurational approach, focuses on five key concepts: figurations, hybrid agency, media logics, quasi-communication and communicative AI. Assessing the heuristic potential of figurational optics in AI research, the author formulates a number of directions for its revision and further development. Given the cross-cutting and multifunctional nature of AI technologies that permeate multiple social worlds and practices, the analysis should not be limited to individual figurations; poly- and interfigurative contexts are also important. In addition, it is necessary to study how figurations (social knowledge, values, and behavioral norms of different communities and institutions) are incorporated into artificial agents acting as a (multi)figurative Other. Finally, there are reasons to rethink the concepts of “hybrid figurations” and “hybrid agency” in the context of the growing influence of AI and “artificial humans”.

Research target: Media and Communications
Language: Russian
DOI
Text on another site
Keywords: искусственный интеллектmediatization studiesAndreas HeppАндреас Хеппfigurational approachфигуративный подходисследования медиатизации artificial intelligencecommunicative AIhuman-machine communicationкоммуникативный ИИчеловеко-машинная коммуникация
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