When writing about wine

how ratings impact reviews

Document identifier: oai:DiVA.org:ltu-76853
Access full text here:10.1080/09571264.2019.1684250
Keyword: Social Sciences, Economics and Business, Business Administration, Samhällsvetenskap, Ekonomi och näringsliv, Företagsekonomi, Wine reviews, Wine ratings, Wine marketing, Automated text analysis, LIWC, Content analysis, Industrial Marketing, Industriell marknadsföring
Publication year: 2019
Relevant Sustainable Development Goals (SDGs):
SDG 2 Zero hunger
The SDG label(s) above have been assigned by OSDG.ai

Abstract:

This paper investigated whether the nature of the language in wine reviews differs by wine ratings. Reviews of 1-, 3- and 5-star wines were downloaded into text files, then analyzed for Word Count, Analytic, Clout, Authentic and Tone by using LIWC text analysis. ANOVAS was adopted to determine differences between reviews by ratings. There were significant differences between wines by star rating on Word Count, Analytic, and Tone, while there were no significant differences on Clout and Authenticity. This research was limited to South African wines, 1-, 3- and 5-star reviews. It was not possible to identify all individual reviewers. Also, price and availability were not considered. Research implications include using other textual analysis software to conduct inter-reviewer comparison of reviews with the same ratings by different influential wine writers, investigating price as a variable in rating and review, and authenticity as a factor in the context. Wine marketers can help wine makers gain a better understanding of what tastemakers prefer by analyzing wine reviews with automated text analysis software such as LIWC. A positive link between word count in a wine review, the degree of analysis and tone used with the ratings of wines by experts can be established.

Authors

J. Lam

Beedie School of Business, Simon Fraser University (SFU), Vancouver, Canada
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M. Lambrechts

Gordon Institute of Business Science, University of Pretoria, Johannesburg, South Africa
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C. Pitt

Department of Industrial Economics and Management, Royal Institute of Technology (KTH), Stockholm, Sweden
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Afshin Afsharipour

Luleå tekniska universitet; Industriell Ekonomi
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