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Effects of Partisan Personalization in a News Portal Experiment
Public Opinion Quarterly. 2020. Vol. 84. No. S1. P. 216–235.
Bryanov K., Watson B., Pingree R., Santia M.
What happens when news aggregators tailor their newsfeeds to include partisan news aimed at users with a known party preference? Relying on a custom-made news portal featuring real, timely articles, this study examines the influence of partisan news sources on participant headline exposure, clicks on news stories to read, and perceptions about the portal’s ability to reliably and comprehensively provide the most important news of the day. Over a period of 12 days, participants preferring either the Republican or Democratic party were randomly assigned to newsfeeds containing increased dosages of real news articles from sources supportive of the participant’s preferred party. Results demonstrate that partisan personalization can benefit a news aggregator by increasing usage and perceptions of its quality, while potentially harming society by decreasing attention to high-quality mainstream sources.
Кровицкая А. В., Попов Д. И., Кравченко А. А. et al., Judaic-Slavic Journal 2024 № 11-12 С. 133–186
The collective research deals with the representation of the Holocaust memory in the media of Central-Eastern and Northern Europe in the second decade of the XXI century on the example of Germany, Austria, Poland, Lithuania, Latvia, Estonia, Sweden, Denmark, and Norway. Each of these states, the article argues, is characterized by its own distinct memory ...
Added: May 13, 2026
Kazun A. D., Мониторинг общественного мнения: Экономические и социальные перемены 2026 № 2 С. 192–215
This article examines how Russians conceptualize the groups most vulnerable to fake news. Drawing on 119 semi-structured interviews conducted in spring 2024, I find clear evidence of the third-person effect: participants believe that disinformation primarily threatens “others” who differ from them on salient dimensions. Age is the most common basis for dividing society into “us” ...
Added: May 12, 2026
Карцева М. А., Peresetsky A., / Высшая школа экономики. Серия WP2 "Количественный анализ в экономике". 2026. № WP2/2026/01.
This study examines the association between health status among elderly individuals living alone and pet ownership (cats, dogs). We employ data from the “Time Use Survey” conducted by the Federal State Statistics Service (Rosstat) in 2019, which contains information on more than 10,000 elderly individuals living alone aged 60 or older in Russia, including data ...
Added: May 8, 2026
Дементьева К. В., Вестник Томского государственного университета. Филология 2026 № 100 С. 192–219
This article addresses the scientific problem of insufficient understanding of the mechanisms underlying the formation of a new media platform created “from above” within the framework of digital sovereignty policies. The aim of the study is to analyse the MAX messenger as a media project, identifying the architecture of its public sphere, the strategies of ...
Added: May 6, 2026
Маленко Маро Янович, Галактика медиа: журнал медиа исследований 2025 Т. 7 № 2 С. 187–208
The article focuses on "ethnological video games", defined as video games which are developed on the basis of ethnographic and folkloric material. The particular focus is on the kind of ethnological games which contain representation or simulation of shamanistic practices. Among them are "Mooseman" based on Komi-Permyak and Finno-Ugric mythology, "Never Alone" based on Iñupiaq ...
Added: May 4, 2026
Diskin E., Вопросы государственного и муниципального управления 2026 № 1 С. 144–169
The article analyzes the introduction of the national messenger Max into the system of electronic interaction between citizens and the state in the Russian Federation. Federal Law No. 156 of June 24, 2025 established the legal framework for integrating the messenger into the unified ecosystem of government digital services, including the Unified Identification and Authentication ...
Added: May 1, 2026
Alevyzaki O., Антипова А. С., Денисова Г. В. et al., Научно-техническая информация. Серия 1. Организация и методика информационной работы 2021 № 6 С. 15–21
Современные СМИ, информируя массовую аудиторию о достижениях ученых, инженеров и технологических предпринимателей, содействуют росту престижа научно-инновационной деятельности и повышению восприимчивости общества к научно-техническому прогрессу и инновациям. В контексте одного из приоритетов научно-технологического развития Российской Федерации - изучения и освоения космического пространства - массмедиа могут быть эффективным инструментом популяризации фундаментальных и прикладных исследований космоса, их влияния ...
Added: April 30, 2026
Alevyzaki O., Антипова А. С., Денисова Г. В. et al., Scientific and Technical Information Processing 2021 Vol. 48 No. 2 P. 133–138
By informing mass audience about scientific, engineering, and technological achievements, modern media contribute to the growth of the prestige of scientific and innovative activities and increase society’s susceptibility to scientific and technological progress and innovations. One of the priorities for scientific and technological development in the Russian Federation is the study and exploration of outer ...
Added: April 30, 2026
Mylonas Y., L.: Routledge, 2026.
This book presents a critical examination of how cultural forms, ranging from cinema and TV to literature, address class within the overarching context of a crisis conjuncture, specifically the period following the 2008 financial crash. It demonstrates how culture serves as a crucial site for capturing the contemporary "structure of feeling", publicly mediating the period's ...
Added: April 30, 2026
Alevyzaki O., Александрова И. Б., Кара-Мурза Е. С. et al., Вестник Московского университета. Серия 10: Журналистика 2021 № 3 С. 74–102
Особую роль на современном этапе развития журналистики играют социальные сети, которые используются как площадка для размещения материалов СМИ. Свои страницы в разных соцсетях имеют многие ведущие российские СМИ. Поскольку пользователи соцсетей прежде всего обращаютсяк новостным материалам, объектом данного исследования стал новостной дискурс, представленный в наиболее популярной в России соцсети – «ВКонтакте». На примере размещенных здесь ...
Added: April 29, 2026
Topadze I., Shagi/Steps 2025 Vol. 11 No. 4 P. 367–373
Рецензия на: Ng E. Cancel culture: A critical analysis. Cham: Palgrave Macmillan, 2022. ix +153 p. ...
Added: April 24, 2026
Гвоздин М. М., Rodkin P. E., Знак: проблемное поле медиаобразования 2026 Т. 59 № 1 С. 27–38
The article is devoted to identifying the specifics of the business models of music companies in South Korea, their work with artists, as well as the restrictions imposed by the industry on idols. An idol is a professional artist who has undergone systematic training in an entertainment agency and performs the function of a comprehensive ...
Added: April 23, 2026
NY: Association for Computing Machinery (ACM), 2026.
It is our great pleasure to welcome you to the 35th edition of the Web Conference to be held on June 29 – July 3, 2026, in Dubai, United Arab Emirates.
Following discussions with our partners and key stakeholders, we have taken the decision to postpone the ACM Web Conference 2026, initially planned for April 2026. ...
Added: April 23, 2026
Vorchik A., / Social Science Research Network. Серия SSRN Working Paper Series "SSRN Working Paper Series". 2026.
This article is devoted to the phenomenon of intrinsic motivation, to understand which two models are proposed. We study how positive/negative intrinsic motivation to work (experienced utility) affects worker's individual labour supply (model I) and the amount of effort they exert (model II). In model I, we use intrinsic motivation to explain the positive/negative slope ...
Added: March 15, 2026
Yusupov V., Sukhorukov N., Frolov E., User Modelling and User-Adapted Interaction 2026 Vol. 36 Article 2
Graph-based recommender systems have emerged as a powerful paradigm for personalized recommendations. However, their reliance on full model retraining to incorporate new users or new interactions creates scalability barriers. The task becomes infeasible in real-life recommender systems due to excessive time and resource costs involved. To address this limitation, we propose a fast and efficient ...
Added: March 15, 2026
Yusupov V., Sukhorukov N., Frolov E., User Modeling and User-Adapted Interaction 2025 P. 1–24
Graph-based recommender systems have emerged as a powerful paradigm for personalized recommendations. However, their reliance on full model retraining to incorporate new users or new interactions creates scalability barriers. The task becomes infeasible in real-life recommender systems due to excessive time and resource costs involved. To address this limitation, we propose a fast and efficient ...
Added: March 14, 2026
Musaev A. U., Vorchik A., / Series Social Science Research Network "Social Science Research Network". 2026.
This paper attempts to model the evolutionary theory of modernization and democratization. The model reflects the key provisions of R. Inglehart and C. Welzel's theory and provides a microfoundation for the adaptation of subjective values to the objective importances of the survival factors and the structure of the labour markets from the perspective of evolutionary ...
Added: February 10, 2026
Yusupov V., Sukhorukov N., Frolov E., , in: User Modeling and User-Adapted Interaction.: Springer, 2026. Ch. 36.2 P. 1–24.
Graph-based recommender systems have emerged as a powerful paradigm for personalized recommendations. However, their reliance on full model retraining to incorporate new users or new interactions creates scalability barriers. The task becomes infeasible in real-life recommender systems due to excessive time and resource costs involved. To address this limitation, we propose a fast and efficient ...
Added: January 29, 2026
Klenitskiy A., Anna Volodkevich, Pembek A. et al., ACM Transactions on Recommender Systems 2026
Sequential recommender systems are an important and in-demand area of research. These systems aim to use the order of interactions in a user’s history to predict future interactions. The premise is that the order of interactions and sequential patterns play an essential role. Therefore, it is crucial to use datasets that exhibit a sequential structure ...
Added: January 28, 2026
Anna Volodkevich, Danil Gusak, Klenitskiy A. et al., User Modelling and User-Adapted Interaction 2025 No. 35 Article 13
The goal of modern sequential recommender systems is often formulated in terms of next-item prediction. In this paper, we explore the applicability of transformer-based generative models for the Top-K sequential recommendation task, where the goal is to predict items that a user is likely to interact with in the “near future.” This goal aligns with ...
Added: January 26, 2026
Klenitskiy A., Fatkulin A., Denisova D. et al., , in: RecSysChallenge '25: Proceedings of the Recommender Systems Challenge 2025.: Association for Computing Machinery (ACM), 2025. P. 26–30.
Building universal user representations that capture the essential aspects of user behavior is a crucial task for modern machine learning systems. In real-world applications, a user’s historical interactions often serve as the foundation for solving a wide range of predictive tasks, such as churn prediction, recommendations, or lifetime value estimation. Using a task-independent user representation ...
Added: January 26, 2026
Ivanova V., Frolov E., Vasilev A., , in: RecSys '25: Proceedings of the Nineteenth ACM Conference on Recommender Systems.: ACM, 2025. P. 1142–1147.
We consider the task of learning from both positive and negative feedback in a sequential recommendation scenario, as both types of feedback are often present in user interactions. Meanwhile, conventional sequential learning models usually focus on considering and predicting positive interactions, ignoring that reducing items with negative feedback in recommendations improves user satisfaction with the ...
Added: January 26, 2026
Pembek A., Fatkulin A., Klenitskiy A. et al., , in: RecSys '25: Proceedings of the Nineteenth ACM Conference on Recommender Systems.: ACM, 2025. P. 626–631.
Many sequential recommender systems suffer from the cold start problem, where items with few or no interactions cannot be effectively used by the model due to the absence of a trained embedding. Content-based approaches, which leverage item metadata, are commonly used in such scenarios. One possible way is to use embeddings derived from content features ...
Added: January 26, 2026
Dorkhanov I., Sokolov B., / Series OSF "SocArXiv". 2025.
This study investigates the relationship between individual religiosity and attitudes towards immigrants of different religious backgrounds in Europe. Using data from the 7th wave of the European Social Survey (2014-2015), we examine the influence of individual denomination and subjective religiosity level on hostility towards Muslim immigrants and the importance of immigrants’ Christian background. Our analysis, ...
Added: December 23, 2025