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Is social media news more subjective?😱 A comparative study of British quality and popular news sources’ adaptation to Facebook
Digital Journalism. 2025. Vol. 13. No. 7. P. 1291–1310.
Savinova E., Hoek J.
Savinova E., Hoek J., Spooren W., Discourse Processes 2026
Added: October 5, 2026
Cham: Springer, 2021.
Added: September 18, 2026
González-Flores L., Rubiano-Moreno J., Sosa Gómez G., Frontiers in Artificial Intelligence 2025 Vol. 8 Article 1554325
Added: September 18, 2026
Lebedev O. B., Левченко Д. Д., Черкасов Р. И., Инженерный вестник Дона 2026 № 2(134) Статья 7
This article analyzes the impact of artificial intelligence (AI) and machine learning technologies on the development and transformation of cyberthreats and the creation of highly effective cyberdefense systems. Key trends in AI evolution are discussed, including data-, model-, application-, and human-centric approaches, and their role in shaping both defensive and offensive capabilities. It is shown ...
Added: September 12, 2026
Lebedev O. B., Шмелева А. Г., Гежа Н. С., Информатика и автоматизация (Труды СПИИРАН) 2026 Т. 25 № 3 С. 720–750
This paper describes the development of a neural network model for automated analysis of medical data in electrophysiology based on deep learning methods. The relevance of this work stems from the growing need to improve the objectivity, speed, and accuracy of processing complex spatiotemporal signals, such as ECG or EEG. Convolutional neural networks (CNNs), which ...
Added: September 10, 2026
Вохминцев И. В., Вестник международных организаций: образование, наука, новая экономика 2026 Т. 21 № 2
The EAEU and the CSTO are Russia’s principal regional international organisations. Understanding, assessing, and analysing the foreign-policy positions of the countries that belong to them is a matter of the state’s national interests. This determines the purpose of the study: to identify the level and the form of cohesion in the voting of EAEU and ...
Added: September 7, 2026
Alshanskaia E., Portnova G., Liaukovich K. et al., Frontiers in Neuroscience 2024 Vol. 18
Added: September 7, 2026
Savinova E., Hoek J., , in: Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis.: Association for Computational Linguistics, 2024. P. 305–315.
Added: September 3, 2026
Savinova E., Moscoso Del Prado F., , in: Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis.: Association for Computational Linguistics, 2023. P. 305–314.
Added: September 3, 2026
Savinova E., Sanders T., Mak P., Lingua 2023 Vol. 288 Article 103524
Added: September 3, 2026
Nikita I. Lysenok, International Journal of Computer Information Systems and Industrial Management Applications 2026 Vol. 18 No. 18s P. 1406–1430
A volatility forecast becomes useful only after it has passed through four stages: a model produces it, a trading rule consumes it, a portfolio aggregates the result, and an investor evaluates that result against a utility function. Each stage has its own mature evaluation apparatus, and each is studied in isolation. This review traces the ...
Added: August 23, 2026
Фонина В. В., Lvova E., Chumakova M., Сибирский психологический журнал 2026 № 100 С. 20–38
Context and relevance. According to statistics from the Lens.org database, interest in the topic of proactivity is growing every year. However, it is worth noting that a unified understanding of this phenomenon has not yet emerged, which complicates its study. Objective. To develop a semantic field and its content for the concept of "proactivity." Hypothesis. ...
Added: June 22, 2026
Korotayev A., Chernomorchenko I., Медведев И. А., Восток. Афро-азиатские общества: история и современность 2026 № 3 С. 117–130
This study employs machine learning methods to rank factors contributing to large-scale armed and unarmed destabilization across Asian and African countries. Analysis reveals that African nations demonstrate greater vulnerability to armed destabilization (up to full-scale civil wars), whereas Asian countries are more prone to less violent unarmed forms (mass antigovernment demonstrations, riots, general strikes and ...
Added: June 21, 2026
Butorova A., Bobakov V., Sergeev A. et al., European Physical Journal: Special Topics 2026 P. 1–19
This paper presents a review of artificial intelligence (AI) methods for failure prediction in data center cooling systems, with a focus on the integration of digital twins (DTs), physics-informed learning, and graph-based models. Positioned within complex network science, this review addresses a limitation of conventional graph approaches—their reliance on pairwise connectivity—whereas real-world failures often arise ...
Added: June 10, 2026
Seul: PMLR, 2026.
Added: June 4, 2026
Kudriavtseva E., / РЦИС. Серия № 0148-756-286. 2026.
The content of the work is the system is a system for identifying four types of written speech structures. A set of 11 calculated parameters, statistical standards, and semantic characteristics allows for the identification of a text's structure as the result of a specific cognitive schema (scene, event, story, evaluation). The method has been verified ...
Added: June 2, 2026
Chernomorchenko I., Ilya Medvedev, Korotayev A., Cross-Cultural Research 2026 Vol. 60 No. 4 P. 375–423
This study investigates which structural factors most strongly predict armed and unarmed revolutionary destabilization across Sub-Saharan Africa (SSA), the Middle East and North Africa (MENA), as well as Asia using country–year data for 1950–2022 and a set of economic, demographic, political, and climatic indicators. It employs an interpretable machine learning framework (CatBoost with SHAP values ...
Added: June 1, 2026
Avdoshin S. M., Pesotskaya E. Y., Информационные технологии 2026 Т. 32 № 4 С. 185–194
With the rapid advancement of artificial intelligence, and deep learning in particular, models have emerged that are capable of delivering highly accurate predictions. However, the internal logic of such models remains difficult to interpret—an issue of critical importance, especially in domains where the correctness of an algorithm directly affects high-stakes decision-making. One promising avenue for ...
Added: May 8, 2026
Avdoshin S. M., Pesotskaya E. Y., Business Informatics 2026 Vol. 20 No. 1 P. 7–28
The rapid development of artificial intelligence (AI) is accompanied by increasing computational
complexity and decreasing model transparency, which significantly limits its adoption in critical
domains that require a high level of trust, interpretability, and justification of decisions. Under these
conditions, the field of Explainable Artificial Intelligence (XAI) has gained particular importance as it
focuses on approaches and technologies that ...
Added: May 8, 2026
Petrov I., Monitoring Obshchestvennogo Mneniya: Ekonomichekie i Sotsial'nye Peremeny 2026 No. 4 P. 50–71
This study aims to compare the emotional and thematic differences in pro-vaccination and anti-vaccination discourse on the Russian social network VKontakte (VK), using Language Expectancy Theory (LET) as an interpretive lens. A computational approach was applied to analyze 18,239 posts from 229 anti-vaccination and 84 pro-vaccination communities, utilizing dictionary-based sentiment analysis and structural topic modeling. ...
Added: April 29, 2026
Ankudinov I., Социология: методология, методы, математическое моделирование 2025 № 61 С. 165–203
The changing political mood of Russians is a constant subject of interest for sociological agencies. With the development of the Internet, conventional questionnaire research began to be supplemented by online surveys and, despite some skepticism, by social media mining. This article attempts to adjust an accidental web-sample so as to bring its estimates closer to ...
Added: April 22, 2026