444
Views
7
CrossRef citations to date
0
Altmetric
Original Articles

Txting across time: undergraduates’ use of ‘textese’ in seven consecutive first-year psychology cohorts

&
Pages 82-98 | Received 23 Nov 2015, Accepted 15 Jan 2017, Published online: 15 Feb 2017
 

ABSTRACT

Communicating by text message is an everyday occurrence for most young adults. This form of communication is often associated with an abbreviated, unconventional spelling style, sometimes called ‘textese’. In this study, we report on the changing written language of text messaging, across seven cohorts of first-year Psychology undergraduates (n = 728) at an Australian university. From 2009 to 2015, the decline of textese use has gradually tailed off, but remains to represent approximately 12% of written words. Earlier attempts to reduce the number of characters (e.g., <ppl> for <people>) are now equalled by emotionally expressive spellings that increase the number of characters (e.g., <helllooo!!! ☺>), and women have continued to use more textese than men. It appears that today’s larger phone screens and keyboards, and easier input methods, rather than any changes in views on the appropriateness of using textese, are the main drivers in reducing young adults’ tendency to use unconventional spellings in their text messages.

Acknowledgements

We would like to thank Damon Binning, Katie Dobber and Mark Morgan for their help with coding the textisms, and our many participants who provided examples of their text messages.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by a small Research Activity Grant from the University of Tasmania’s Division of Psychology.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access
  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart
* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.