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  • (Не)известные злодеи: анализ литературных мемов в тематических пабликах "Вконтакте"
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News
August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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(Не)известные злодеи: анализ литературных мемов в тематических пабликах "Вконтакте"

С. 83–103.
Klimova M., Fomina E.

This article is devoted to the analysis of memes on literary topics on “Vkontakte” social website called “Literary memes” and “Literaturniye memy”. The focus is on the characters of Russian and foreign literature, depicted in the memes as negative ones. The study examines the specifics of precedence and humorous components, techniques that contribute to the negative perception of characters in memes as well as it  attempts to explain the reasons for referring certain characters to“villains”. In addition, the comments of  users of the website are interpreted, some of which allow the ambivalence of literary villains and concentrate on the positive features of these characters.

Language: Russian
Full text
Text on another site
Keywords: прецедентные феноменыprecedent phenomenaмемыmemesfictional charactersliterary villainsперсонажилитературные злодеи

In book

Зло в культуре и культура зла
Зло в культуре и культура зла
Fomina E., Лукманова О. Б., Шалимова Н. С., Валяева Н. Ю., Klimova M., Куликова В. А., Плотникова М. А., Нахман Ф. Г., Khusyainov T., Костригин А. А., Штрикер Ю. Д. Н. Новгород: Издательство Тимура Хусяинова, 2022.
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