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News
May 14, 2026
Resource Race and Green Transition: Three Unexpected Conclusions from Foresight Centres Research on Climate and Poverty
Beneath the surface of green energy—which most people associate with solar panels, electric vehicles, and reduced CO2 emissions—lies a complex web of geopolitical interests, international inequality, and resource constraints. Researchers from the Laboratory for Science and Technology Studies (LST) at the HSE ISSEK Foresight Centre have published a series of articles in leading international journals on hidden and overt conflicts surrounding critically important metals and minerals, as well as related processes in the energy sector.
May 13, 2026
Immersion in Second Language Environment Influences Bilinguals Perception of Emotions
Researchers at the Cognitive Health and Intelligence Centre at the HSE Institute for Cognitive Neuroscience have discovered how bilingual individuals process emotional words in their native (first) and non-native (second) languages. It was found that the link between word meaning and bodily sensations is weaker in a second language than in a first language. However, the more a person is immersed in a language environment, the smaller this difference becomes. The article has been published in Language, Cognition and Neuroscience.
May 12, 2026
‘Any Real-Economy Company Can Use Our Products
The HSE Centre for Financial Research and Data Analytics combines fundamental and applied work, including in areas unique to Russia such as the connection between sentiment in the media and social networks and financial markets. The HSE News Service spoke with the centre’s director, Professor Tamara Teplova, about its work.

 

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Боты, ведущие народ? Модель влияния ботов на политическую мобилизацию и демобилизацию в социальных медиа

Вестник Пермского университета Политология. 2021. Т. 15. № 4. С. 16–29.
Толокнев К. А.

Bots (automated accounts) in social media have gained more attention from social scientists in recent years.
The former are employed by both governments and civil society groups in order to manipulate online political
discussion in social media. Nevertheless, there is no conclusive evidence on their effectiveness as a tool
to bolster (mobilize) or suppress (demobilize) political discussion in social media. This paper presents a novel
agent-based model, capable of simulating bot deployment as both mobilization and demobilization tool.
Results of the simulations reveal three major effects of bot deployment. First, bots are more effective at demobilizing
opponents than mobilizing supporters. Second, transmitting radical opinions via bots may backfire,
demobilizing a certain group rather than mobilizing it. Third, the effectiveness of social bots is dependent
on homophily: more homophilous networks are less susceptible to bots’ influence. Results of modeling
may both advance our estimations of bots’ effectiveness and serve as a tool to generate potential hypotheses
for future empirical research.

Language: Russian
Text on another site
Keywords: социальные медиаполитические коммуникацииpolitical communicationpolitical mobilizationполитическая мобилизация social mediapolitical demobilizationполитическая демобилизацияагентно-ориентированная модельBotsботыagent-based model
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