From pre-owned printers to pristine Porsches

Author:

Kehoe Andrew1ORCID,Gee Matt1ORCID,Lutzky Ursula2ORCID

Affiliation:

1. Birmingham City University

2. Vienna University of Economics and Business

Abstract

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.

Publisher

John Benjamins Publishing Company

Reference39 articles.

1. Evolution of language: An empirical study at eBay Big Data Lab

2. VIRTUAL ORALITY: HOW EBAY CONTROLS AUCTIONS WITHOUT AN AUCTIONEER'S VOICE

3. Retail e-commerce sales worldwide from 2014 to 2027;Chevalier,2024

4. Keyness

5. Accurate methods for the statistics of surprise and coincidence;Dunning;Computational Linguistics,1993

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