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News
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.
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.

 

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Класификација вредносног система новинског дискурса о епидемији коронавируса.

Зборник Матице српске за филологију и лингвистику. 2021. Vol. 64. No. 1. P. 131–145.
Trnavac R.

This paper investigates the news values (Bednarek –  Caple 2012; 2014; 2017) which are foregrounded in the specialized corpus of the newspaper articles on the COVID-19 pandemic.  The news values are seen as values that exist in and are constructed through discourse (Bednarek – Caple 2014). We collected our data from the Russian newspaper Nezavisimaya Gazeta in the period of October-December 2020. Our methodology included two stages: In the first stage, we singled out the top 100 most frequent words and 100 keywords by using the Wordsmith Tool. To obtain a list of keywords, we created a reference corpus -  a specialized corpus of a similar size as a source corpus with the news discourse in politics which did not include the topic of the pandemic. We then semantically annotated 200 words from both lists based on the USAS model (Archer et al. 2002), labeled them according to the discoursive fields of the USAS model, and classified them within the taxonomy of the news values that is based on the framework of the Discoursive News Values Analysis (Bednarek – Caple 2012; 2014; 2017). The above methods yielded the following results: The newspaper reporting on the coronavirus disease focused primarily on Superlativeness, Impact, and Proximity news values, while Personalization, Negativity, and Unexpectedness were backgrounded in the corpus. This means that the number of victims impacted by the disease, the territorial closeness where the victims were situated and the economic consequences of the crisis were in the spotlight of reporting that we analyzed.

 

Research target: Philology and Linguistics
Language: Serbian
DOI
Text on another site
Keywords: word frequencynews valuesnewspaper discoursecorpus semantic annotationkeywords analysis
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