Analytical support to the strengthening traditional values state policy implementation: cognitive technologies in assessing perception and interpretation of the Russian axiosphere concepts
https://doi.org/10.26425/2658-347X-2025-8-4-4-16
Abstract
The purpose of the study is to evaluate the possibilities of cognitive technologies for analyzing and forming a conceptual space for describing value bases in setting and solving issues of managing sustainability of the state and its society within the framework of the sovereign development model. The methodological basis of the study has been built around modern digital technologies both in theory and in the practical use of a whole arsenal of digital tools. The identification of the issues of analyzing and agreeing on the terminological basis for defining traditional values as the foundation for preserving and strengthening Russian statehood has been carried out on the basis of the conceptual approach of the axiology of the value world hierarchy unity in the interrelation of material, social, and spiritual factors in forming models of individual and collective behavior in society, youth value orientations, identified by a questionnaire survey (N = 280). Using artificial intelligence tools and large language models (LLM), critical aspects of adequate reflection and correct verification of the value foundations of civilizational identity have been identified when developing measures to strengthen society unity and the state sovereignty in a global digital environment. A semantic analysis of the empirical assessment results by university students of the spread of ideas about the value hierarchy has been carried out. By means of ontological modeling using digital tools, visual images of a system of concepts describing the value foundations of strengthening statehood have been formed. The possibilities of digital technologies – the generation of thematic texts based on LLM with an algorithm for increasing trust in semantic patterns – have been shown. The recommendations on the use of the proposed conceptual approach and digital tools for identification, verification, dissemination, and interpretation of value bases in the information space of public administration and civil society have been substantiated.
Keywords
About the Authors
J. V. ZvorykinaRussian Federation
Julia V. Zvorykina - Dr. Sci. (Econ.), Chief Researcher, Head of the Sector of the Center for Export Development and International Cooperation
Moscow
O. M. Pisareva
Russian Federation
Olga M. Pisareva - Cand. Sci. (Econ.), Senior Researcher, Head of the Mathematical Methods in Economics and Management Department
Moscow
I. V. Shponarskiy
Russian Federation
Ilya V. Shponarskiy - Laboratory Assistant, Assistant at the Information Systems Department
Moscow
References
1. Artyukhin O.A., Ivanova L.L., Batov A.T. Ideological components of the “pentabasis” model in modern Russian politics. State and municipal administration. Scientific notes. 2023;2:190–196. (In Russian). https://doi.org/10.22394/2079-1690-2023-1-2-190-196
2. Baibikova T.N., Domoratsky E.P. On the choice of cognitive computer visualization software. Bulletin of the Moscow University of Finance and Law. 2017;1:200–206. (In Russian).
3. Bannerman S. Platform Imperialism, Communications Law and Relational Sovereignty. New Media & Society. 2022;4(26):1816–1833. https://doi.org/10.1177/14614448221077284
4. Bhambra G.K. Colonial global economy: towards a theoretical reorientation of political economy. Review of International Political Economy. 2020;2(28). https://doi.org/10.1080/09692290.2020.1830831
5. Brodovskaya E.V., Lukushin V.A. The role of external network actors in shaping protest attitudes of Russian social media users. Bulletin of the Moscow University. Political sciences. 2024;2:94–113. (In Russian). https://doi.org/10.55959/MSU0868-4871-12-2024-2-2-94-113
6. Castells M. The Information Age: Economics, society and culture. Moscow; 2000. 606 p. (In Russian).
7. De Monticelli R. The paradox of axiology. A phenomenological approach to value theory. Phenomenology and Mind. 2018;15:116–128. https://doi.org/10.13128/PHE_MI-24976
8. Dudas M., Lohmann S., Svatek V., Pavlov D. Ontology visualization methods and tools: a survey of the state of the art. The Knowledge Engineering Review. 2018;33:e10. https://doi.org/10.1017/S0269888918000073
9. Dudin I.V. The attitude of the country’s population towards the main social contradictions of Russian society: status, dynamics, factors. The Sociological Journal. 2024;1(30):90–112. (In Russian). https://doi.org/10.19181/socjour.2024.30.1.5
10. Evgenieva T.V., Kuznetsov I.I., Perevezentsev S.V., Selezneva A.V., Sorokopudova O.E., Strakhov A.B., Boronin A.R. Fundamentals of Russian statehood. Moscow: Delo; 2023. 550 p. (In Russian).
11. Gribkov A.A., Zelensky A.A. General theory of systems and creative artificial intelligence. Philosophy and culture. 2023;11:32–44. (In Russian). https://doi.org/10.7256/2454-0757.2023.11.68986
12. Gurinovich D.F. BRICS+ National interests in the emerging multipolar world. Modern Science and Innovations. 2024;3(47):169–174. https://doi.org/10.37493/2307-910X.2024.3.19
13. Kamdar M.R., Tudorache T., Musen M.A. A systematic analysis of term reuse and term overlap across biomedical ontologies. Semantic Web. 2017;6(8):853–871. https://doi.org/10.3233/SW-160238
14. Kelleher W.J. Formal Axiology and the Philosophy of Social Science. Political Science. 2013;10. https://doi.org/10.2139/ssrn.2343339
15. Kendall E.F., McGuiness D. Ontology engineering. Synthesis Lectures on Semantic Web: Theory and Technology. 2019;1(18). https://doi.org/10.2200/S00834ED1V01Y201802WBE018
16. Kharichev A.D., Shutov A.Yu., Polosin A.V., Sokolova E.N. Perception of basic values, factors and structures of socio-historical development of Russia (based on research and approbation). Journal of Political Studies. 2022;3(6):9–19. (In Russian). https://doi.org/10.12737/2587-6295-2022-6-3-9-19
17. Konstantinovsky D.L., Popova E.S., Kuznetsov I.S., Kuznetsov R.S. Digital technologies and big data in sociological research: concept, methodology, opportunities. The world of Russia. Sociology. Ethnology. 2025;1(34):144–160. (In Russian). https://doi.org/10.17323/1811-038X-2025-34-1-144-160
18. Kovalev A.A., Borzova E.P. The destruction of traditional values as a possible factor in the mental degradation of the people. Bulletin of the Russian Christian Humanitarian Academy. 2023;3-2(24):38–49. (In Russian). https://doi.org/10.25991/VRHGA.2023.3.3.004
19. Lapie М.P. Logique de la Volonte. Paris: Editions F. Alcan; 1902.
20. Lebedev D.V. Possibilities of using GPS metadata to control the data collection process: an overview of existing methods and data quality analysis. The Sociological Journal. 2022;4(28):8–33. (In Russian). https://doi.org/10.19181/socjour.2022.28.4.9313
21. Litvinova T.A., Mikros G.K., Dekhnich O.V. Writing in the Era of Large Language Models: A Bibliometric Analysis of Research Field. Research Result. Theoretical and Applied Linguistics. 2024;4(10):5–16. https://doi.org/10.18413/2313-8912-2024-10-4-0-1
22. Lotze R.H. Mikrokosmus: Ideen zur Naturgeschichte und Geschichte der Menschheit. Versuch einer Anthropologie. 3 Bde. Leipzig: Verlag von S. Hirzel; 1856–1864.
23. Lukichev R.V. The evolution of semantic Web technologies: problems and prospects. Software systems and computational methods. 2024;3:37–43. (In Russian). https://doi.org/10.7256/2454-0714.2024.3.71719
24. Makarov K.S., Khalin A.A., Kostenkov D.A., Mukhanov E.E. Comparative analysis of libraries for natural language processing (NLP). Auditorium. 2024;1(41):45–50. (In Russian).
25. Mamardashvili M.K. Vilnius lectures on Social philosophy (the experience of physical metaphysics). St. Petersburg: Azbuka; 2020. 320 p. (In Russian).
26. Mboweni T., Masombuka T., Dongmo C. A systematic review of machine learning devops. In: 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET). IEEE; 2022. https://doi.org/10.1109/ICECET55527.2022.9872968
27. Menshikov V.V., Komarova V.F. Artificial sociality: ontological foundations of sociological analysis. RUDN Journal of Sociology. 2025;4(25):584–602. (In Russian). https://doi.org/10.22363/2313-2272-2025-25-4-584-602
28. Menshikov V.V., Komarova V.F. Human communication and artificial intelligence technologies as the basis of artificial sociality: an example of communication with ChatGPT. Bulletin of Social Sciences. 2023;1(36):58–90. (In Russian). https://doi.org/10.9770/szv.2023.1(3)
29. Panarin V.I., Puchkov O.E., Pfanenstil I.A., Yatsenko M.P. The evolution of axiology and its role in solving current socio-philosophical problems of the development of the noosphere. Bulletin of the Institute of Noosphere Development. 2020;3(14):33–77. (In Russian).
30. Perevezentsev S.V., Puchnina O.E., Strakhov A.B., Shakirova A.A. On the methodological principles of studying Russian basic traditional values. Bulletin of the Moscow University. Sociology and political science. 2021;4:113–133. (In Russian). https://doi.org/10.24290/1029-3736-2021-27-4-113-133
31. Radugin A.A., Perevozchikova L.S. The problem of the ontological status of values in the history of axiology. Scientific bulletin of Belgorod State University. Philosophy. Sociology. Law. 2015;8(205):102–110. (In Russian).
32. Rezaev A.V., Tregubova N.D. From the sociology of algorithms to the social analytics of artificial sociality: case analysis of API and ChatGPT. Monitoring public opinion: economic and social changes. 2023;3:3–22. (In Russian). https://doi.org/10.14515/monitoring.2023.3.2384
33. Sakwa R. Axiological vs dialogical politics in contemporary Europe. Polis. Political Studies. 2014;2:8–17. https://doi.org/10.17976/jpps/2014.02.02
34. Schreiber V.K. Values and norms: the experience of ontological comprehension. In: B.S. Shalyutin (ed.) Values and norms in the flow of time: Proceedings of the VI International Scientific Conference, Kurgan, April 9–10, 2015. Kurgan: Kurgan State University Publ. House; 2015. Pp. 153–155. (In Russian).
35. Sethunya R.J., Hlomani H., Keletso L., Kaniwa F., Kutlwano S. A review of modern methods and technologies for natural language processing. International Journal of Research in Engineering and Applied Sciences. 2016;3(6):207–217.
36. Tatunts S.A. Formation of a new multipolar world order in the context of the global information war. The Information Society. 2024;3:2–9. (In Russian). https://doi.org/10.52605/16059921_2024_03_02
37. Tsvetkova I.V. Methodological principles of value analysis in social philosophy. Bulletin of the Tatishchev Volga State University. 2010;4:72–79. (In Russian).
38. Tudorache T. Ontology engineering: Current state, challenges, and future directions. Semantic Web. 2019;1. https://doi.org/10.3233/SW-190382
39. Volodenkov S.V., Fedorchenko S.N. New socio-political challenges to state sovereignty in the digital age (based on international expert research). Bulletin of the Moscow University. Political sciences. 2023;6:31–57. (In Russian). https://doi.org/10.55959/MSU0868-4871-12-2023-1-6-31-57
40. Vyzhletsov G.P. Axiology in the system of philosophical knowledge. Bulletin of St. Petersburg University. Philosophy. Cultural studies. Political science. Right. International relations. 2010;4:34–39. (In Russian).
41. Weber M. On some categories of understanding sociology. Selected works. Moscow: Progress; 1990. (In Russian).
42. Weyns D., Calinescu R., Mirandola R., Tei K. Towards a Research Agenda for Understanding and Managing Uncertainty in Self-Adaptive Systems. ACM SIGSOFT Software Engineering Notes. 2023;4(48):20–36. https://doi.org/10.1145/3617946.3617951
43. Zemnukhova L.V. et al. Adventures of technology: barriers to digitalization in Russia. Moscow: Federal Research Sociological Center of the Russian Academy of Sciences; 2020. 282 p. (In Russian). https://doi.org/10.31119/978-5-89697-339-3
Review
For citations:
Zvorykina J.V., Pisareva O.M., Shponarskiy I.V. Analytical support to the strengthening traditional values state policy implementation: cognitive technologies in assessing perception and interpretation of the Russian axiosphere concepts. Digital Sociology. 2025;8(4):4-16. (In Russ.) https://doi.org/10.26425/2658-347X-2025-8-4-4-16
JATS XML




























