Language Representations of Conceptual Phenomenon “Internet”: An Integrative Model Approach

A. A. Barkovich; E. S. Astapkina

doi:10.24224/2227-1295-2026-15-1-9-28

Language Representations of Conceptual Phenomenon “Internet”: An Integrative Model Approach

A. A. Barkovich, E. S. Astapkina

https://doi.org/10.24224/2227-1295-2026-15-1-9-28

Full Text:

PDF (Rus)

Generate QR code

Abstract

This study investigates the composition and dynamic evolution of the nominal basis for the conceptual phenomenon known as “Internet” in the Russian language. A comprehensive methodology was employed to analyze linguistic data. The completeness of dictionary entries and lexical thesauri corresponding to this semantic domain is characterized. Through a corpus-based approach utilizing the Russian Web 2017 dataset, we identified the most influential components contributing to the language phenomenology of “Internet,” including terms such as program, website, network, phone, service. Derivatives like online store, internet platform, web service were also noted within the corpus. Additionally, established collocations include phrases such as visit a site, access the network, open a browser. Paradoxically, units such as content and technology exhibited low frequency in our sample. Pragmalinguistic analysis revealed that Internet-related lexemes are frequently used in pragmatically marked contexts within computer-mediated communication environments (digital forums, blogs, social media posts). These contexts encompassed evaluations (“convenient website”), requests (“send me the link”), narratives (“installed an app”). Using a search-cluster distribution method based on neural network architecture, we clarified the latent structure underlying the concept of “Internet” by identifying nine clusters: connection, technologies, users, content, etc. Applying an integrative model resulted in a set of 294 lexemes associated with the conceptual phenomenon of “Internet.”

Keywords

Internet, technological vocabulary, conceptual phenomenon, semantics, discourse analysis

About the Authors

A. A. Barkovich

Belarusian State University
Беларусь

Alexander A. Barkovich, Doctor of Philology, Associate Professor, Head of the Department of Theoretical and Slavic Linguistics

Minsk

E. S. Astapkina

Belarusian State University
Беларусь

Ekaterina S. Astapkina, PhD in Philology, Associate Professor, Associate Professor of the Department of Germanic Linguistics

Minsk

References

1. Aichner, T., Jacob, F. (2015). Measuring the degree of corporate social media use. International Journal of Market Research, 2 (57): 257—275. DOI: 10.2501/IJMR-2015-018.

2. Barkovich, A. (2019). Informational Linguistics: Computer, Internet, Artificial Intelligence and Language. 2019 IEEE 1st International Conference on Artificial Intelligence in Information and Communication (ICAIIC 2019). February 11—13. 008—013. DOI: 10.1109/ICAIIC.2019.8668989.

3. Barkovich, A. A. (2015). Functionality of the dyad “communication — communicative”: a discursive aspect. Bulletin of Tomsk State University. Philology, 5 (37): 37—52. DOI: 10.17223/19986645/37/3. (In Russ.).

4. Bogacheva, G. F., Olkhovskaya, A. I., Paramonova, M. K. (2017). Electronic ideographic dictionary: theoretical and applied aspects (based on the material of the “Russian Thematic Dictionary”). Lexicography issues, 12: 39—60. DOI: 10.17223/22274200/12/3. (In Russ.).

5. Carr, N. (2010). The Shallows: What the Internet Is Doing to Our Brains. New York: Norton, W. W. & Company, Inc. 276 p. ISBN 978-0-393-07936-4.

6. Crystal, D. (2001). Language and the Internet. Cambridge: Cambridge University Press. 272 p. ISBN 0-521-80212-1.

7. Devlin, J. (2019). BERT: Pre-Training of Deep Bidirectional Transformers for Language Understanding. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 4171—4186. DOI: 10.18653/v1/N19-1423.

8. Dubina, L. V. (2013). Trends in the development of the Russian language in the context of Internet communication. Bulletin of Tomsk State Pedagogical University, 2: 177—181. (In Russ.).

9. Garfinkel, S. (2000). Database Nation: The Death of Privacy in the 21st Century. Sebastopol: O’Reilly & Associates. 336 p. ISBN 0-596-00105-3.

10. Gasparov, B. M. (1996). Language, memory, image. Linguistics of linguistic existence. Moscow: New Literary Review. 352 p. ISBN 5-86793-020-3. (In Russ.).

11. Golev, N. D. (2015). Lexical realization as a functional characteristic of the word-formation system of the Russian language and quantitative parameters of its description. In: “Osm ten”: collection of scientific papers. articles dedicated to the 80th anniversary of I. S. Ulukhanov. Moscow: Azbukovnik. 183—193. ISBN 978-5-91172-103-9. (In Russ.).

12. Goroshko, E. I. (2013). The emergence of new media linguistics and the prospects for the development of this field. In: Hypertext as an object of linguistic research. Samara: Publishing House of the Samara State Socio-Pedagogical University. 27—42. ISBN 978-5-8428-0954-7. (In Russ.).

13. Liu, Y., Zhang, M. (2018). Neural Network Methods for Natural Language Processing. Computational Linguistics, 44 (1): 193—195. DOI: 10.1162/COLI_r_00312.

14. Pinker, S. (2000). The language instinct. New York: Harper Perennial Modern Classics. 525 p. ISBN 0-06-097651-9.

15. Sapone, L. (2021). Moving fast and breaking things: an analysis of social media’s revolutionary effects on culture and its impending regulation. Duquesne Law Review, 59: 362—384.

16. Schiffrin, D. (2006). From linguistic reference to social reality. In: Discourse and identity. Cambridge: Cambridge University Press. 103—131. ISBN 9780521834025.

17. Shadrina, O. V., Marunevich, O. V. (2024). Corpus Analysis of Artificial Intelligence Terminology in Russian: Insights from Almanac “Artificial Intelligence” Using AntConc. Nauchnyi dialog, 14 (7): 133—160. https://doi.org/10.24224/2227-1295-2025-14-7-133-160. (In Russ.).

18. Shapak, S. A. (2024). From a traditional dictionary to an online dictionary: the development of the lexicographic culture of the user. Questions of lexicography, 33: 29—51. DOI: 10.17223/22274200/33/2. (In Russ.).

19. Tang, J., Chang, Y. (2016). A survey of signed network mining in social media. ACM Computer Surveys (CSUR), 49: 1—37. DOI: 10.1145/2956185.

20. Titscher, S., Meyer, M., Vetter, E., Wodak, R. (2000). Methods of Text and Discourse Analysis. London: Sage. 278 p. ISBN 0-7619-6482-7.

21. Tosovich, B. (2015). Internet stylistics. Moscow: Flinta: Nauka. 238 p. ISBN 978-5-9765-2229-9. (In Russ.).

22. Widdowson, H. (2005). Applied linguistics, interdisciplinarity, and disparate realities. In: Directions in Applied Linguistics. Clevedon, UK: Multilingual Matters. 12—25. ISBN 1-85359-849-6.

Review

For citations:

Barkovich A.A., Astapkina E.S. Language Representations of Conceptual Phenomenon “Internet”: An Integrative Model Approach. Nauchnyi dialog. 2026;15(1):9-28. (In Russ.) https://doi.org/10.24224/2227-1295-2026-15-1-9-28

JATS XML