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News
August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
August 12, 2026
‘I Would Like My Research to Help Make the World a Calmer and Better Place
Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
August 11, 2026
‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

 

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Конспирологическое мышление: понятие, измерение и факторы

Экономическая социология. 2022. Т. 23. № 2. С. 91–117.
Kazun A. D.

The article provides an overview of the literature on conspiracy thinking. Although there is no consensus on the definition of this concept, as a rule, researchers pay attention to the following similar aspects: belief in secret and covert actions, a group of interested persons influencing world processes or hiding information about something, the false or implausible nature of conspiracy theories. There are two fundamentally different approaches to measuring conspiracy thinking: (1) in terms of agreement with several real conspiracy theories, (2) in general terms, without reference to specific conspiracy theories. Each of these approaches has serious limitations, both specific (for example, the arbitrariness of the choice of conspiracy theories for the first approach and the lack of one-dimensionality of the scales for the second), and general (the difficulty of using the scales in comparative international studies). The article provides examples of scales that correspond to each of the approaches. Factors influencing belief in conspiracy theories can be divided into psychological and social. Conspiracy beliefs are more common in people with high anxiety, low self-esteem and less developed analytical skills. In addition, conspiracy theories are more often believed by people with low social status and educational level, low level of generalized and political trust, belonging to the ends of the ideological spectrum, and consuming information from glossy magazines and social networks. The role of age and religiosity is less straightforward.

Research target: Sociology (including Demography and Anthropology Media and Communications Psychology
Language: Russian
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Keywords: довериенеопределенностьмышлениерациональностьconspiracyконспирологияфейковые новостизаведомо ложная информациятеории заговораconspiracy beliefконспирологическое мышление
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