Trust in information recorded in digital text: perception by the youth audience (experimental study)
This article focuses on identifying patterns of trust explication as a key factor in how information expressed in digital, economically oriented Telegram channels is perceived and evaluated. In light of the crisis of trust in modern digital communication, there is a lack of interdisciplinary research devoted to studying the factors involved in building trust in information, and the most effective ways to combine different types of trust in order to successfully interact with other Internet users. There is also a need for a methodology to study the phenomenon of trust in relation to digital texts. The study is based on the methodology of linguistics, psychology, and neurophysiology. The article presents the results of a pilot study based on discourse analysis of texts and psychological questionnaires. The study was conducted with a student audience and also involved a questionnaire survey of respondents, as well as oculographic and galvanic skin response data obtained during the neuroexperiment. Trust indicators such as the format of the forwarded message, mention of personal pronouns, repetition of keywords, and attributes indicating expertise (e.g. the name of the channel or number of views of the post) are defined and described. The limitations of the study have been identified, and the need to clarify the methodology, adjust the experimental design and expand the respondent sample has been noted. The resulting database can be used to further describe and analyse verbal and non-verbal components of trust, which is relevant to areas such as communicative-pragmatic linguistics, the psychology of trust and interdisciplinary language studies.
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Khiznichenko, A. V., Ivanova, E. A., Kudashova, A. A., Roshchupkina, S. A. (2025). Trust in information recorded in digital text: perception by the youth audience (experimental study), Research Result. Theoretical and Applied Linguistics, 11 (4), 119–154.


















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This research was supported by Ministry of Science and Higher Education of the Russian Federation, project No FSWM-2025-0016.