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When writing about wine: how ratings impact reviews
Beedie School of Business, Simon Fraser University (SFU), Vancouver, Canada.
Gordon Institute of Business Science, University of Pretoria, Johannesburg, South Africa.
Department of Industrial Economics and Management, Royal Institute of Technology (KTH), Stockholm, Sweden.
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
2019 (English)In: Journal of Wine Research, ISSN 0957-1264, E-ISSN 1469-9672, Vol. 30, no 4, p. 335-345Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Taylor & Francis, 2019. Vol. 30, no 4, p. 335-345
Keywords [en]
Wine reviews, wine ratings, wine marketing, automated text analysis, LIWC, content analysis
National Category
Business Administration
Research subject
Industrial Marketing
Identifiers
URN: urn:nbn:se:ltu:diva-76853DOI: 10.1080/09571264.2019.1684250Scopus ID: 2-s2.0-85075010178OAI: oai:DiVA.org:ltu-76853DiVA, id: diva2:1372923
Note

Validerad;2019;Nivå 1;2019-11-25 (johcin)

Available from: 2019-11-25 Created: 2019-11-25 Last updated: 2019-11-25Bibliographically approved

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Afsharipour, Afshin

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