207
Views
3
CrossRef citations to date
0
Altmetric
Articles

An exploratory analysis of cross-country biases in expert wine reviews

&
Pages 144-156 | Received 02 Nov 2018, Accepted 13 Apr 2019, Published online: 16 May 2019
 

ABSTRACT

This paper examines whether online reviews by wine experts use different language to describe wines from different countries, and whether this reveals a certain bias. This is important because the language used in wine reviews can make a wine seem more or less appealing, and therefore may have a significant impact on consumers’ perceptions and purchase intentions. An automated content analysis was conducted of 28,858 reviews for top-rated wines that were published on the Wine Enthusiast magazine website. While the initial objective was to focus on the Old World versus New World dichotomy, the findings are more nuanced. Most of the differences that were found between reviews for wines from particular countries can be explained based on for example climate and whether or not the wine is purchased for immediate consumption. However, it was also found that reviews for wines from France, Italy and the United States use much more figurative language, and refer more often to the vineyard and the winemaking process, while this is much less the case for wines from Spain, Australia, New Zealand, Argentina and Chile. This could indicate that reviewers have a bias based on their level of knowledge of, and/or interest in, particular countries.

Disclosure statement

No potential conflict of interest was reported by the authors.

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

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 823.00 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.