Research of problems and prospects of development of public control in the information and communication space

The article is devoted to the study of problems and prospects of public control development in the information and communication space. An overview of studies in the interdisciplinary field of knowledge that are dedicated to potential threats in public political discourse affecting the consciousness of social groups is provided. The degree of elaboration regarding the issues facing the implementation of public control processes in the public administration system is assessed. The main issues facing the implementation of public control in information and communication networks are identified. It is substantiated that in the long term, intelligent systems will become a fundamental part of the communication flows analysis system. Based on the research conducted, a model of public control has been developed and tested in relation to the results of monitoring the provision of quality education. The study has established the strategic importance and advantage of using intelligent semantic analysis systems for the implementation of public control. It has been identified that fabricated information is not influenced by territorial affiliation. The object for which manipulation is intended and the target that affects the object by direct or indirect means, depending on the influence factors and the current socio-economic situation of the target subjects, are of primary importance. The author stresses that the study of specifics of the implementation of state policy in the public control system in conjunction with the assessment of municipal specifics is relevant and will serve further implementation of a decentralized system of public control. Based on the results of the study, a conclusion is made about the potential role of the state in the information and communication environment in the following years.

1. Blazheev V.V., Egorova M.A., Barabashev A.G., Zasemkova O.F., Kashkin S.Yu., Minbaleev A.V. et al. Legal regulation of artificial intelligence in the conditions of pandemic and infodemia. Moscow: Prospect; 2020.

2. Ivanov V.V., Ubushaeva B.G. Great digital extinction of cultures. In: Terelyansky P.V. (ed.) Society. Trust. Risks: Trust in Migration Processes. Risks of a New Society: Proceedings of the international forum. Moscow: State University of Management; 2019. P. 65–69.

3. Nikonov V.A., Voronov A.S., Sazhina V.A., Volodenkov S.V., Rybakova M.V. Digital sovereignty of a modern state: Content and structural components (based on expert research). Tomsk State University journal of philosophy. sociology. political science. 2021;60:206–216. https://doi.org/10.17223/1998863X/60/18

4. Nikonov V.A. Establishment a socio-cultural work environment in a megalopolis amidst globalization. In: State and Market amidst Globalization of the World Economic Space: Proceedings of the International Scientific & Practical Conference, Saratov, October 15, 2021. Ufa: Aeterna LLC; 2021. P. 28–33.

5. Zotov V.B., Milkina I.V., Stadolin M.E., Kosarin S.P. City management using modern digital technologies. In: University Saturdays at GUU. A series of lectures. Department of Education of the city of Moscow. Moscow: State University of Management; 2021. P. 46–58.

6. Okolysheva I.A. Development of the system of administrative and technical control of the improvement of Moscow urban areas through the introduction of information telecommunication technologies with elements of artificial intelligence. In: Step into the Future: Artificial Intelligence and Digital Economy: Smart Nations: Economy of Digital Equality: Proceedings of the 3rd International Scientific Forum, Moscow, December 9–10, 2019. Moscow: State University of Management; 2020. No. 3. P. 179–183.

7. Okolyshev D.A., Sirazhdinov R.Zh. Problems of using artificial intelligence in the modern economy. In: Step into the Future: Artificial Intelligence and Digital Economy: Proceedings of the 1st International Scientific & Practical Conference, Moscow, December 4–5, 2017. Moscow: State University of Management; 2017. P. 201–206.

8. Okolyshev D.A. The system of public control in the era of artificial intelligence development. Problems and prospects. In: Step into the Future: Artificial Intelligence and Digital Economy: Smart Nations: Economy of Digital Equality: Proceedings of the 3rd International Scientific Forum, Moscow, December 9–10, 2019. Moscow: State University of Management; 2020. No. 3. P. 175–179.

9. Demin A.V., Rybalchenko I.V., Milkina I.V. “Interdisciplinary transfer” in creating an urban governance ecosystem in digitalization. Lecture notes in networks and systems. 2022;398:33–42.

10. Karabulatova I.S., Vorontsov K.V. Digital linguistical migrationology and monitoring of the potentially dangerous texts on migration. In: Ryazantsev S.V., Khramova M.N. (eds.) Migration Bridges in Eurasia: New Approaches to the Formation of Migration Policy in the Interests of Sustainable Development: Proceedings of the 9th International Scientific and Practical Forum, Moscow, December 5–6, 2019. Moscow: Econ Inform; 2020. P. 189–204.

11. Karabulatova I.S. Problems of creating a digital library for evaluating potentially dangerous texts (PDT) in modern news discourse. In: Issues of Modern Linguistics and Foreign Language Learning in the Era of Artificial Intelligence: Proceedings of the International Scientific Forum dedicated to the World Science Day for Peace and Development, Moscow, November 10–12, 2020. Moscow: PFUR; 2020. P. 3–12.

12. Karabulatova I.S., Anumyan K.S., Tsin M. Surprise as a linguistic and cultural marker of a migrant’s linguistic personality in a new community. In: Space in language and culture: Proceedings of the roundtable, Khanty-Mansiysk, November 15, 2021. Khanty-Mansiysk: Ugra State University; 2021. P. 39–43.

13. Kirillov A.V., Karabulatova I.S. Censorship in the coverage of topics of information tension and conflict in the German Internet space. Bulletin of the Russian New University. Series: Human in the modern world. 2022;2:92–102. https://doi.org/10.18137/RNU.V925X.22.02.P.092

14. Nikitin M.Yu., Karabulatova I.S., Pakhomenkova O.M. Markers of linguo-conflictogenicity of modern mass media discourse in Russia in the post-truth era. Bulletin of the Russian New University. Series: Human in the modern world. 2022;2:110–116. https:// doi.org/10.18137/RNU.V925X.22.02.P.110

15. Vorontsov K.V., Iglovikov V.I., Strijov V.V., Ustuzhanin A.E., Khritankov A.S. Roundtable: challenges in repeatable experiments and reproducible research in data science. Proceedings of Moscow Institute of Physics and Technology. 2021;13(50):100– 108. https://doi.org/10.53815/20726759_2021_13_2_100

16. Eremeev M.A., Vorontsov K.V. Quantile-based approach to estimating cognitive text complexity. In: Computational Linguistics and Intellectual Technologies: Proceedings of the International Conference “Dialogue 2020”, Moscow, June 17–20, 2020. Moscow: RSUH; 2020. P. 241–254. https://doi.org/10.28995/2075-7182-2020-19-256-269

17. Feldman D.G., Sadekova T.R., Vorontsov K.V. Combining facts, semantic roles and sentiment lexicon in a generative model for opinion mining. In: Computational Linguistics and Intellectual Technologies: Proceedings of the International Conference “Dialogue 2020”, Moscow, June 17–20, 2020. Moscow: RSUH; 2020. P. 283–298. https://doi.org/10.28995/2075-7182-2020-19-283-298