From pre-owned printers to pristine Porsches: A corpus linguistic analysis of eBay item descriptions

  • Andrew Kehoe*
  • , Matt Gee
  • , Ursula Lutzky
  • *Corresponding author for this work

Publication: Scientific journalJournal articlepeer-review

Abstract

Recent years have seen a considerable increase in e-commerce, with sales forecast to continue rising over the coming years. This study provides a corpus linguistic analysis of item descriptions on eBay’s UK website, on which both members of the public and businesses can offer goods for sale. It is based on two corpora of items sold on the site in 2015 and 2020 which together contain 412,601 item descriptions and over 57 million words of text. The analysis applies corpus linguistic methods to gain further insight into the diachronic development of language use on eBay, to explore linguistic features in item descriptions and across product categories, and to relate word choice to product selling price. Its findings offer new understanding of the changing language of online selling and indicate how a corpus linguistic methodology may be used to explore the impact of linguistic features on sales figures.
Original languageEnglish
JournalInternational Journal of Corpus Linguistics
DOIs
Publication statusE-pub ahead of print - 2024

Austrian Classification of Fields of Science and Technology (ÖFOS)

  • 508015 Business communication
  • 602007 Applied linguistics
  • 602058 Corpus linguistics

Keywords

  • item descriptions
  • eBay
  • selling price
  • E-Commerce
  • word choice

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