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News
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.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.

 

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The Analysis of the COVID-19 Image Evolution in English Mass Media Discourse

Professional Discourse & Communication. 2022. Vol. 4. No. 1. P. 10–20.
Tikhomirova A.

Starting from January 2020, the whole world and all the people’s professional activities are affected by the COVID-19 pandemic. Since the beginning of the pandemic, the phenomenon of COVID has been analyzed from different perspectives. The present study aims to study the evolution of the COVID-19 image in the online mass media discourse on the example of the British Broadcasting Corporation (BBC) news portal. The research employs semantic network analysis to trace the changes in the description of the coronavirus-related articles presented online. Three samples of articles from the period from 2020 to 2022 are randomly collected and subjected to further analysis. As a result, the author concludes, that the image of the COVID pandemic has undergone a significant change from the distant public health-related phenomenon to one of the legal actors and social activities. The present study contributes to the analysis of the coronavirus pandemic domain in the online mass media discourse and diversifies the studies, employing the semantic network analysis approach.

Research target: Media and Communications
Language: English
DOI
Keywords: mass media discoursesemantic network analysisVOSviewerCOVID-19
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