More than the Quantity: The Value of Editorial Reviews for a User-Generated Content Platform

Yipu Deng (), Jinyang Zheng (), Warut Khern-am-nuai () and Karthik Kannan ()
Additional contact information
Yipu Deng: Faculty of Business and Economics, The University of Hong Kong, Hong Kong
Jinyang Zheng: Krannert School of Management, Purdue University, West Lafayette, Indiana 47907
Warut Khern-am-nuai: Desautels Faculty of Management, McGill University, Montreal, Quebec H3A 1G5, Canada
Karthik Kannan: Krannert School of Management, Purdue University, West Lafayette, Indiana 47907

Management Science, 2022, vol. 68, issue 9, 6865-6888

Abstract: We investigate an editorial review program for which a review platform supplements user reviews with editorial ones written by professional writers. Specifically, we examine whether and how editorial reviews influence subsequent user reviews (reviews written by noneditor reviewers). A quasiexperiment conducted on a leading review platform in Asia, based on several econometric and natural language processing techniques, yields empirical evidence of an overall positive effect of editorial reviews on subsequent user reviews from the platform’s perspective. First, more reviews are provided for restaurants that receive editorial reviews. In addition, these reviews discuss substantive topics while also including a discussion on other topics, leading to a net increase in content length and variety. They also are more neutral in sentiment and are associated with lower rating valences. Further analysis of the mechanism reveals that the subsequent user reviews of the restaurants that receive editorial reviews become more similar to the editorial reviews in regard to topics, sentiment/rating, length, and readability, indicating a herding effect in how to write a review as the main driver of the change in the subsequent reviews. We further empirically isolate this herding effect among long-time reviewers. The findings suggest that review platforms could use an editorial review program not only to boost the quantitative aspect of user reviews but also, to manage the qualitative aspect as well.

Keywords: natural language processing; editorial review; user-generated content; difference-in-differences; herding effect (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://dx.doi.org/10.1287/mnsc.2021.4238 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:68:y:2022:i:9:p:6865-6888

Access Statistics for this article

More articles in Management Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().