An analysis of language in university students' text messages

Fiona Lyddy, Francesca Farina, James Hanney, Lynn Farrell, Niamh Kelly O'Neill

Research output: Contribution to journalArticlepeer-review

50 Scopus citations

Abstract

Concerns over effects of 'textisms' on literacy have been reinforced by research identifying processing costs associated with reading textisms. But to what extent do such studies reflect actual textism use? This study examined the textual characteristics of 936 text messages in English (13391 words). Message length, nonstandard spelling, sender and message characteristics and word frequency were analyzed. The data showed that 25% of word content used nonstandard spelling, the most frequently occurring category involving omission of capital letters. Types of nonstandard spelling varied only slightly depending on the purpose of the text message, while the overall proportion of nonstandard spelling did not differ significantly. Less than 0.2% of content was 'semantically unrecoverable.' Implications for experimental studies of textisms are discussed.

Original languageEnglish (US)
Pages (from-to)546-561
Number of pages16
JournalJournal of Computer-Mediated Communication
Volume19
Issue number3
DOIs
StatePublished - Apr 2014

Keywords

  • Language use
  • Linguistic
  • Literacy
  • Mobile phones
  • Text messaging

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications

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