A big data exploration of the informational and normative influences on the helpfulness of online restaurant reviews

Volume: 125, Pages: 354 - 367
Published: Mar 1, 2021
Abstract
With the proliferation of user generated online reviews, uncovering helpful restaurant reviews is increasingly challenging for potential consumers. Heuristics (such as “Likes”) not only facilitate this process but also enhance the social impact of a review on an Online Opinion Platform. Based on Dual Process Theory and Social Impact Theory, this study explores which contextual and descriptive attributes of restaurant reviews influence the...
Paper Details
Title
A big data exploration of the informational and normative influences on the helpfulness of online restaurant reviews
Published Date
Mar 1, 2021
Volume
125
Pages
354 - 367
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