Neurosocial Intelligence as a Factor of Trust in Artificial Intelligence and Digital Platforms in the Management of Education and Media Platforms
( Pp. 187-195)
More about authors
Garaganov Artur V.
Cand. Sci. (Sociol.); Department of Sociology, Faculty of Social Sciences and Mass Communications; Financial University under the Government of the Russian Federation
Financial University under the Government of the Russian Federation
Moscow, Russian Federation
Financial University under the Government of the Russian Federation
Moscow, Russian Federation
Abstract:
This article examines neurosocial intelligence as a managerially significant resource that determines trust in artificial intelligence and digital platforms in organizations, with a focus on education and interaction with media platforms. The social context for the study is the changes in media behavior and consumption observed in 2026, including rising digital fatigue and a demand for “silence” (reduced sensory and information overload), the normalization of a “convenient healthy lifestyle” as a seamless everyday experience, increased public demand for AI content labeling and reality-checking tools, the growing importance of live communications as a mechanism for restoring trust, and the expansion of platform formats (personalization, mini-apps, games, integration into game worlds, and online-offline hybrids). It is shown that in the context of algorithmization, trust ceases to be a general attitude and becomes a mechanism for coordination, disciplined execution, and responsibility distribution. A model of calibrated trust in AI is proposed as a model of delegation compliance with the limits of technology applicability and institutional norms of responsibility. Neurosocial intelligence is operationalized as a subject’s integrative ability to recognize social and digital signals, manage attention under conditions of overload, critically evaluate algorithmic recommendations, and predict the consequences of digital actions. A typology of practices for interacting with AI and platforms (delegation without verification, calibrated delegation, avoidance, and latent use) is presented, along with the logic for constructing and validating a neurosocial intelligence scale and the contours of managerial application of this tool in education and on media platforms.
How to Cite:
Garaganov, A.V. (2026). Neurosocial intelligence as a factor of trust in artificial intelligence and digital platforms in the management of education and media platforms. Sociopolitical Sciences, 16(1), 187–195. DOI: 10.33693/2223-0092-2026-16-1-187-195. EDN: LINMWZ
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Garaganov A.V. Sociology. Psychology. Pedagogy: Collection of scientific works. In 3 vols. St. Petersburg: Scientific Research Center ART, 2023. Vol. 1. 90 p. ISBN: 978-5-00231-009-8. DOI: 10.51623/00231-009.23. EDN: TKMRYI.
Garaganov A.V. Sociology. Psychology. Pedagogy: Collection of scientific works. In 3 vols. St. Petersburg: Scientific Research Center ART, 2023. Vol. 2. 96 p. ISBN: 978-5-00231-010-4. DOI: 10.51623/00231-010.23. EDN: KFNXTH.
Garaganov A.V. Satisfaction of educational needs of the individual: methodological approaches to analysis. In: Personality psychology: Study, development, self-knowledge. Collection of scientific materials. St. Petersburg: Scientific Research Center ART, 2015. Pp. 105–117. EDN: TXYCKV.
Gritskevich Yu.N., Lukyanova S.V., Popkova L.M. Mediatext and media literacy in the system of higher education. Samara Scientific Bulletin. 2022. Vol. 11. No. 4. Pp. 253–258. (In Rus.). DOI: 10.55355/snv2022114304. EDN: EQVAZD.
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Kurzweil R. The singularity is nearer: When we merge with AI. A.A. Alekseeva (transl. from Engl.). Moscow: Eksmo, 2025. 560 p. ISBN: 978-5-04-204123-5.
Razov P.V., Garaganov A.V. Sociological analysis of the role of mass media in forming trust in artificial intelligence. Sociopolitical Sciences. 2023. Vol. 13. No. 1. Pp. 74–79. (In Rus.). DOI: 10.33693/2223-0092-2023-13-1-74-79. EDN: BUYGTN.
Keywords:
sociology of governance, neurosocial intelligence, trust in AI, digital platforms, algorithmic governance, trust, education, media platforms, attention economy, digital literacy, media literacy.
