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  • Сквозь призму BERT: тематическое моделирование трансформации коллективных идентичностей участников движения Black Lives Matter под влиянием контрпротеста
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Subject
News
October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.

 

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Сквозь призму BERT: тематическое моделирование трансформации коллективных идентичностей участников движения Black Lives Matter под влиянием контрпротеста

Политическая наука. 2025. № 1. С. 219–239.
Koncha V.

Counter-protests have become a common response to protest movements around the world. Understanding this process is often based on collective identities that are formed in opposition to an out-group. In the context of the Black Lives Matter (BLM) movement, the initial image of the “other” was mainly attributed to the authorities. However, the emergence of the All Lives Matter (ALM) counter-protest movement has changed the way how collective identities are constructed - now the image of the “other” is also attributed to participants in the counter-protest movement, introducing a new layer of complexity into the dynamics of identities and raising questions about how these identities are transformed when faced with counter-protest. Applying a new approach in BERT topic modeling, the author analyzes thematic shifts in the posts of BLM protesters between 2013 and 2014 on the social network Twitter (X). The application of the BERT topic modeling model allowed conducting a detailed analysis of online messages, capturing contextual dependencies and revealing the complexities of the transformation of collective identity in response to the emergence of the ALM counter-protest movement. The study contributes to the existing literature by filling two gaps: demonstrating the methodological advantage of using BERT on empirics and exploring how the collective identities of protest movement participants are transformed in the context of protest and counter-protest dynamics. BERT topic modeling is a powerful tool for studying the transformation of collective identities, offering a promising methodological basis for further research at the intersection of protest, counter-protest, and collective identities in the digital age.

Research target: Political Science, International Relations, and Public Administration
Language: Russian
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Keywords: коллективная идентичностьtwitterпротестBlackLivesMatterAllLivesMatterконтрпротест
Publication based on the results of:
Institutions, human capital and regional Development: historical analysis and contemporary challenges (2025)
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