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News
May 22, 2026
HSE Graduates AI Project Wins at TECH & AI Awards
Daria Davydova, graduate of the HSE Graduate School of Business and Head of the AI Implementation Unit at the Artificial Intelligence Department of Alfa-Bank, received a prize at the TECH & AI Awards. She was awarded for the best AI solution for optimising business processes. The winners were determined as part of the VII Russian Summit and Awards on Digital Transformation (CDO/CDTO Summit & Awards).
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The 'Second Shift' Is Not Why Women Avoid News
Women are more likely than men to avoid political and economic news, but the reasons for this behaviour are linked less to structural inequality or family-related stress than to personal attitudes and the emotional perception of news content. This conclusion was reached by HSE researchers after analysing data from a large-scale survey of more than 10,000 residents across 61 regions of Russia. The study findings have been published in Woman in Russian Society.

 

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Pragmatic mechanisms of manipulation in Russian online media: How clickbait works (or does not)

Journal of Pragmatics. 2022. Vol. 195. P. 91–108.
Apresyan V., Orlov A.

Our study investigates clickbait – ambiguous misleading headlines, aimed at exploiting
readers’ curiosity gap. Clickbait has two unequally conspicuous interpretations, where
the first interpretation is false with respect to the article content, while the second
interpretation is correct content-wise, but considerably less obvious. We aim at
identifying linguistic structures and pragmatic mechanisms employed in creating
Russian clickbait, as well as testing the effectiveness of clickbait headlines
experimentally. To answer our research questions, we compiled, annotated and
analyzed a corpus of Russian clickbait headlines, as well as designed and ran an
online experiment. We demonstrate that the main device employed in creating clickbait
is a false generalized conversational implicature (GCI), created by flouting Gricean
maxims of Quantity, Manner, or Relevance, which is subsequently canceled by the
content of the article. We identify language-specific contexts conducive to their
occurrence, and show how journalists explore semantic, syntactic, and referential
peculiarities of the Russian language to create GCIs inherent in clickbait. Finally, we
demonstrate that not all clickbait headlines are effective: in order to attract clicks,
clickbait must not be obviously false and must increase the potential appeal and
importance of insufficiently engaging news pieces on topics that do not require
specialized knowledge.
 

Research target: Philology and Linguistics
Priority areas: humanitarian
Language: English
Full text
DOI
Text on another site
Keywords: implicaturepolysemyclickbaitlinguistic mechanism
Publication based on the results of:
Practice as the medium for standards fluctuations (2020)
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