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Replication Data for: "Authentic and amazing": authenticity as an evaluative category in online consumer restaurant reviews.

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Replication Data for: "Authentic and amazing": authenticity as an evaluative category in online consumer restaurant reviews.
 
Identifier https://doi.org/10.7910/DVN/9JVSMI
 
Creator Boyle, Dominick
 
Publisher Harvard Dataverse
 
Description This dataset corresponds to the paper "'Authentic and amazing': authenticity as an evaluative category in online consumer restaurant reviews" appearing in Cultural Analytics. This dataset provides the R scripts used for the preparation, analysis as well as the import of data to Sketch Engine, the ID lists of the reviews in Corpus 1, 2 and 3, as well as the authenticity lexicons used which were derived from O'Connor et. al (2017) under a CC BY 4.0 license. The IDs correspond the those in the Yelp Dataset at the time of data collection (2019).
 
Subject Arts and Humanities
authenticity, online consumer restaurant reviews, computational methods, corpus driven discourse analysis, sentiment analysis
 
Date 2024-02-12
 
Contributor Boyle, Dominick