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Title of Article

RELIABILITY AND ITS DIGITAL MEASUREMENT IN THE LIGHT OF QUANTITATIVE MEDIALINGUISTICS


Issue
6
Date
2025

Article type
scientific article
UDC
 
Pages
188-195
Keywords
достоверность, медиапотребление, верификация, цифровая платформизация, генеративный ИИ, медиаграмотность, фактчекинг, филологический анализ, машинное обучение, reliability, media consumption, verification, digital platformization, generative AI, media literacy, fact-checking, philological analysis, machine learning


Authors
Pomazov A.I.
Natsionalnyy issledovatelskiy Nizhegorodskiy gosudarstvennyy universitet im. N.I. LobachevskogoNational Research Lobachevsky State University of Nizhny Novgorod

Vodopetov S.V.
Rossiyskiy universitet druzhby narodov im. Patrisa LumumbyPeoples' Friendship University of Russia named after Patrice Lumumba


Abstract
The article substantiates a paradigmatic shift in media consumption driven by the transition to background, algorithmically controlled content consumption. The crisis of classical media literacy and binary verification models ("fake"/"not fake") necessitates the development of comprehensive approaches. The aim of the research is to propose and test a multi-level vector model for assessing the reliability of media texts, integrating quantitative medialinguistic analysis and modern data analysis methods. Based on case study analysis, the practical application of the model is demonstrated, allowing for a transition to a continuous and contextual assessment. The research material consisted of media texts from news and political discourse. The results confirm the model's effectiveness in identifying systemic manipulative practices. The practical significance of the work lies in the possibility of using the model for automatic content verification and the development of educational programs on algorithmic literacy.

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