Age-Related Variation in Computer-Mediated Communication
A Comparative Analysis of Facebook Status Updates among Female Users in Pakistan
Keywords:
Computer-Mediated Communication, Facebook, language variation, apparent-time analysis, digital discourse, sociolinguisticsAbstract
The introduction of Computer-Mediated Communication (CMC) has created new ways of communicating daily, and has resulted in the advent of some novel linguistic practices in online situations. Though previous studies have established linguistic variations in digital communication from various contexts, comparatively little is known about how age varies in online language use among Pakistani Facebook users. It focuses on the apparent-time perspective on two age groups of female Facebook status writers (ages 18-20 and 30-35) to explore the distribution of certain linguistic features in their status updates. In this study, the qualitative comparative content-analysis design was used. The status updates that were reviewed were purposively selected, with 200 being reviewed and analyzed from each one of the participants. Analyses carried out in the study were on the basis of the following five linguistic categories – shortened lexical forms, acronyms, omission of vowels, emoticons/emoji and substitutions of numeric forms. These features were subsequently compared descriptively in terms of their frequency and distribution between the age groups included. The analysis shows that the younger participants generally preferred more innovative linguistic forms than the adult participants, while the adult participants generally preferred a more traditional lexical and orthographic form. These observations suggest variation in the linguistic practice of the selected dataset with respect to age rather than evidence for ongoing language change. The study aids the Computer-Mediated Communication research in Pakistan by reporting the language variations of Facebook users and can serve as the basis for future studies that use longitudinal or larger and more varied data sets to investigate the changes in language throughout time.
Downloads
References
Androutsopoulos, J. K. (1999). Grammaticalization in young people's language: The case of German. Belgian Journal of Linguistics, 13, 155–176.
Baron, N. S. (2008). Always on: Language in an online and mobile world. Oxford University Press.
Bieswanger, M. (2007). 2 abbrevi8 or not 2 abbrevi8: A contrastive analysis of different space- and time-saving strategies in English and German text messages. Texas Linguistics Forum, 50, 1–12.
Chambers, J. K. (2002). Studying language variation: An informal epistemology. Blackwell Publishing.
Crystal, D. (2006). Language and the Internet (2nd ed.). Cambridge University Press.
Eckert, P. (1997). Age as a sociolinguistic variable. In F. Coulmas (Ed.), The handbook of sociolinguistics (pp. 151–167). Blackwell.
Herring, S. C. (2002). Computer-mediated communication on the Internet. Annual Review of Information Science and Technology, 36, 109–168.
Herring, S. C. (2004). Computer-mediated discourse analysis: An approach to researching online behavior. In S. A. Barab, R. Kling, & J. H. Gray (Eds.), Designing for virtual communities in the service of learning (pp. 338–376). Cambridge University Press. https://doi.org/10.1017/CBO9780511805080.016
Herring, S. C., & Dainas, A. R. (2020). Gender and age influences on interpretation of emoji functions. ACM Transactions on Social Computing, 3(2), Article 10.
Konrad, A., Herring, S. C., & Choi, D. (2020). Sticker and emoji use in Facebook Messenger: Implications for graphicon change. Journal of Computer-Mediated Communication, 25(3), 217–235.
Labov, W. (1972). Sociolinguistic patterns. University of Pennsylvania Press.
Labov, W. (1994). Principles of linguistic change: Volume 1. Internal factors. Blackwell.
Logi, L., & Zappavigna, M. (2023). A social semiotic perspective on emoji: How emoji and language interact to make meaning in digital messages. New Media & Society, 25(11), 3273–3293.
Tagliamonte, S. A., & Denis, D. (2008). Linguistic ruin? LOL! Instant messaging and teen language. American Speech, 83(1), 3–34. https://doi.org/10.1215/00031283-2008-001
Downloads
Published
License
Copyright (c) 2026 Inaya Sehar, Tahira Kanwal, Nosheen Sehar (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.



