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  • Имплицитная и эксплицитная оценочность новообразований в заголовках интернет-медиа
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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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?

Имплицитная и эксплицитная оценочность новообразований в заголовках интернет-медиа

С. 54–61.
Куликова В. А.

The article deals with the actual derivational means for expressing an explicit and implicit negative evaluation on the material of the electronic mediaheadlines: structural and semantic features of media neologisms and the conditions of their use for speech impact are analyzed.

Language: Russian
Full text
Keywords: explicit estimationимплицитная оценкаэксплицитная оценкаimplicit evaluation

In book

Развитие словообразовательной и лексической системы русского языка: Сборник статей по материалам VII международного научного семинара
Т. 152. , Амирит, 2020.
Similar publications
Implicit vs explicit evaluation: How English-speaking Twitter users discuss migration problems
Gabrielova E., Maksimenko O., Russian Journal of Linguistics 2021 Vol. 25 No. 1 P. 105–124
The current research answers the question how Twitter users express their evaluation of the topical social problem (explicitly or implicitly) and what linguistic means they use being restricted by the limited length of the message. The  article explores how Twitter users socialize with each other and exchange ideas on social issues of great importance, express ...
Added: January 11, 2021
Использование имплицитных средств выражения оценки в микроблоге Твиттер
Gabrielova E., В кн.: Большое евразийское партнерство: лингвистические, политические и педагогические аспекты.: М.: ИИУ МГОУ, 2018. С. 183–189.
The paper examines the linguistic means adopted by Twitter Englishspeaking users to express implicitly their personal opinion. The results of the content analysis of tweets, processed by program Atlas.ti, illustrate how Twitter users imply opinion using various linguistic devices while being restricted to only 140 characters. ...
Added: September 7, 2018
Импликация и экспликации оценки в русскоязычном сегменте Твиттера (на примере проблемы миграции)
Gabrielova E., Максименко О. И., Ученые записки национального общества прикладной лингвистики 2017 Т. 3 № 19 С. 68–75
This article examines the linguistic tools adopted by Twitter Russian-speaking users to express their personal opinion on the immigration issues in Russia and abroad. The results of the content analysis of tweets, processed by program Atlas.ti, illustrate how Twitter users communicate with each other and discuss political and social issues, and in what way they ...
Added: October 16, 2017
Экспликация и импликация оценки в микроблоге Twitter (на материале сообщений участников протестного движения «Чаепитие»)
Gabrielova E., Ученые записки Казанского университета. Серия: Гуманитарные науки 2015 Т. 157 № 5 С. 141–149
The paper presents the results of the investigation carried out to define the language means of implicit and explicit estimation used by participants of the Tea Party protest movement, which emerged in 2009 in the United States. According to the content analysis of Twitter messages performed with the help of the Atlas.ti software program, the ...
Added: October 3, 2014
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