Understanding Youth Slang in the Digital Age: A Systematic Literature Review of Identity, Multilingualism, Generational Gaps, and NLP Applications
Authors
Universiti Teknologi MARA Shah Alam, (Malaysia)
Centre of Foundation Studies, Universiti Teknologi MARA, Cawangan Selangor, Kampus Dengkil (Malaysia)
Universiti Teknologi MARA Shah Alam, (Malaysia)
Universiti Teknologi MARA Shah Alam, (Malaysia)
Universiti Teknologi MARA Shah Alam, (Malaysia)
Centre of Foundation Studies, Universiti Teknologi MARA, Cawangan Selangor, Kampus Dengkil (Malaysia)
Article Information
DOI: 10.47772/IJRISS.2026.102100198
Subject Category: Education
Volume/Issue: 10/21 | Page No: 2435-2452
Publication Timeline
Submitted: 2026-09-03
Accepted: 2026-09-08
Published: 2026-10-07
Abstract
Youth slang has become a central feature of digital communication, shaping how adolescents and young users construct identity, negotiate peer relationships, engage in multilingual practices, and participate in platform-based cultures. This systematic literature review examines the state of research on youth slang in the digital age, with specific attention to identity construction, multilingualism, intergenerational communication gaps, computational/NLP applications, and digital literacy implications. Guided by PRISMA procedures, the review synthesizes 25 selected studies published between 2020 and 2026 and organizes them into five themes: youth slang, identity construction, and peer communication; multilingualism, code-mixing, and language transformation; intergenerational understanding and communication gaps; computational/NLP approaches to slang detection, translation, and sentiment analysis; and digital literacy, education, and social/health implications. The findings show that youth slang is not merely informal language but a dynamic sociolinguistic resource for expressing belonging, humour, emotion, cultural identity, and online participation. The review also highlights that digital slang increasingly crosses linguistic boundaries through English borrowing, hybrid lexicons, abbreviations, and code-mixing. However, rapidly evolving slang may create communication barriers between youth and older generations and poses challenges for NLP systems due to its contextual, cultural, and multilingual complexity. This review contributes an integrated understanding of youth slang as a sociolinguistic, educational, intergenerational, and technological phenomenon, while emphasizing the need for culturally responsive digital literacy and context-aware computational models.
Keywords
Youth slang; Digital communication; Identity construction; Code-mixing; Natural Language Processing
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References
1. Afrin, M., Jahin, G. T. S., Maliha, F., & Arefin, M. S. (2025). An explainable hybrid approach for Generation Z slang detection. IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE), 748–753. https://doi.org/10.1109/WIECON-ECE69386.2025.11526714 [Google Scholar] [Crossref]
2. Ajam, M. R., Taha, M., & Sumar-Karman, A. (2026). Language change in social media and its impact on the linguistic identity of Indonesia's younger generation: A sociolinguistic study. Journal of Language Teaching and Research, 17(3), 850–861. https://doi.org/10.17507/jltr.1703.10 [Google Scholar] [Crossref]
3. Apridayani, A., & Sompuwet, W. (2026). Social media as a digital language learning ecosystem: An interpretive study of Thai teenagers' English development. TESL-EJ, 29(4), 1–21. https://doi.org/10.55593/EJ.29116INT3 [Google Scholar] [Crossref]
4. Bucholtz, M., & Hall, K. (2005). Identity and interaction: A sociocultural linguistic approach. Discourse Studies, 7(4–5), 585–614. https://doi.org/10.1177/1461445605054407 [Google Scholar] [Crossref]
5. Carganilla, M. V., Desalit, J. B., Wei, C., & Wakat, G. S. (2025). Interpreting social media memes: Exploring variations in understanding Gen Z slang across Gen X, Gen Y and Gen Z. 3L: Language, Linguistics, Literature, 31(4), 296–311. https://doi.org/10.17576/3L-2025-3104-19 [Google Scholar] [Crossref]
6. Curcuglioniti, D., Pigureddu, L., & Gena, C. (2026). Slang4Pepper entered the chat: Building a slang-aware glossary for social robots interacting with teenagers. CEUR Workshop Proceedings, 305–310. [Google Scholar] [Crossref]
7. Eckert, P. (2012). Three waves of variation study: The emergence of meaning in the study of sociolinguistic variation. Annual Review of Anthropology, 41, 87–100. https://doi.org/10.1146/annurev-anthro-092611-145828 [Google Scholar] [Crossref]
8. Eshet-Alkalai, Y. (2004). Digital literacy: A conceptual framework for survival skills in the digital era. Journal of Educational Multimedia and Hypermedia, 13(1), 93–106. [Google Scholar] [Crossref]
9. Giles, H., & Powesland, P. F. (1975). Speech style and social evaluation. Academic Press. [Google Scholar] [Crossref]
10. Hasjim, M., Arimi, S., Kushartanti, B., Arafah, B., & Taqdir. (2026). Language transformation in social media and its impact on the linguistic identity of Indonesian youth. Journal of Language Teaching and Research, 17(1), 296–305. https://doi.org/10.17507/jltr.1701.30 [Google Scholar] [Crossref]
11. Ishita, & Mamidi, R. (2025). The evolution of Gen Alpha slang: Linguistic patterns and AI translation challenges. Proceedings of the Annual Meeting of the Association for Computational Linguistics, 4, 678–686. https://doi.org/10.18653/v1/2025.acl-srw.43 [Google Scholar] [Crossref]
12. Jagun, A. (2023). The influence of the English language on the Polish youth speak. Respectus Philologicus, 44(49), 120–129. https://doi.org/10.15388/RESPECTUS.2023.44.49.113 [Google Scholar] [Crossref]
13. Kamath, S., Padiya, V., D'Silva, S., Patil, N., & Narvekar, M. (2024). TeenSenti: A novel approach for sentiment analysis of short words and slangs. 2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE 2024). https://doi.org/10.1109/AMATHE61652.2024.10582077 [Google Scholar] [Crossref]
14. Nguyen, D., Doğruöz, A. S., Rosé, C. P., & de Jong, F. (2016). Computational sociolinguistics: A survey. Computational Linguistics, 42(3), 537–593. https://doi.org/10.1162/COLI_a_00258 [Google Scholar] [Crossref]
15. Obasi, J. C., & Obasi, C. M. (2024). Communicative features of selected Nigerian ESL Generation Z's language use on Twitter. Filolog (Banja Luka), 15(30), 130–162. https://doi.org/10.21618/fil2430130o [Google Scholar] [Crossref]
16. Owens, E. (2025). ‘It speaks to me in brain rot’: Theorising ‘brain rot’ as a genre of participation among teenagers. New Media & Society. https://doi.org/10.1177/14614448251351527 [Google Scholar] [Crossref]
17. Palacios-Martínez, I. M. (2023). Multicultural London English (MLE) as perceived by the press, on social media, and speakers themselves. Research in Corpus Linguistics, 11(1), 116–146. https://doi.org/10.32714/ricl.11.01.05 [Google Scholar] [Crossref]
18. Prodanovska-Poposka, V. (2025). The pragmatic functions of TikTok slang in adolescent identity construction and peer relationships. Palimpsest, 10(20), 25–31. https://doi.org/10.46763/PALIM25102025pp [Google Scholar] [Crossref]
19. Putri, V. C. C., Akbar, M., Irwanto, I., & Alem Febri, S. (2026). Digital communication symbols and intergenerational gap: A case study analysis of Netflix's Adolescence. Frontiers in Sociology, 11. https://doi.org/10.3389/fsoc.2026.1633629 [Google Scholar] [Crossref]
20. Sagum, R. A., Ramos, M. C. A., Certeza, D. R. A., Andres, A. C. A., & Gatchalian, A. D. M. (2025). Filipino GenZ slang sentiment analyzer using BERT. 15th International Workshop on Computer Science and Engineering (WCSE 2025), 78–83. https://doi.org/10.18178/wcse.2025.06.013 [Google Scholar] [Crossref]
21. Salieva, D., Dzheenbaeva, K.-M., Kyzy, M. B., Askarov, U., & Kyzy, E. A. (2025). The use of English slang by the younger generation across various media. Dragoman, 18, 97–117. https://doi.org/10.63132/ati.2025.theuse.35665504 [Google Scholar] [Crossref]
22. Shing, S. R. (2025). Textism in digital communication: Usage of internet slang in social media among bilingual Malaysian youths. Jurnal Komunikasi: Malaysian Journal of Communication, 41(1), 438–453. https://doi.org/10.17576/JKMJC-2025-4101-25 [Google Scholar] [Crossref]
23. Sidorova, L. A. (2025). Features and varieties of youth slang in modern English. RUDN Journal of Language Studies, Semiotics and Semantics, 16(1), 166–174. https://doi.org/10.22363/2313-2299-2025-16-1-166-174 [Google Scholar] [Crossref]
24. Sundaram, A., Subramaniam, H., Ab Hamid, S. H., & Nor, A. M. (2024). A three-step procedural paradigm for domain-specific social media slang analytics. TQCEBT 2024—2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024. https://doi.org/10.1109/TQCEBT59414.2024.10545286 [Google Scholar] [Crossref]
25. Teng, C. E., & Joo, T. M. (2023). Is internet language a destroyer to communication? Lecture Notes in Networks and Systems, 693, 527–536. https://doi.org/10.1007/978-981-99-3243-6_42 [Google Scholar] [Crossref]
26. Verheijen, L., & van Hout, R. (2022). Manifold code-mixing in computer-mediated communication: The use of English in Dutch youths' informal online writing. Ampersand, 9. https://doi.org/10.1016/j.amper.2022.100091 [Google Scholar] [Crossref]
27. Verheijen, L., Spooren, W., & van Kemenade, A. (2020). Relationships between Dutch youths' social media use and school writing. Computers and Composition, 56. https://doi.org/10.1016/j.compcom.2020.102574 [Google Scholar] [Crossref]
28. Vlasov, M. S., & Sychev, O. A. (2021). Internet slang in the lexical decision task: Does reaction time for word recognition correlate with problematic internet use in youth? Vestnik Tomskogo Gosudarstvennogo Universiteta, Filologiya, 74, 5–27. https://doi.org/10.17223/19986645/74/1 [Google Scholar] [Crossref]
29. Żak, A. (2025). Girl math or nonsense?–(De)valuation and (in)visibility of women in social media slang. LingBaW. Linguistics Beyond and Within, 11, 271–285. https://doi.org/10.31743/lingbaw.18964 [Google Scholar] [Crossref]
30. Zhang, W., & Zhang, Z. (2025). Dissemination mechanism of internet slang and social identity construction among youth groups. Annals of Economics and Finance, 1(1), 1–25. https://doi.org/10.65281/639270 [Google Scholar] [Crossref]
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