Skip to main content
eScholarship
Open Access Publications from the University of California

Decision contamination in the wild:Sequential dependencies in Yelp review ratings

Abstract

Current judgments are systematically biased by priorjudgments. Such biases occur in ways that seem to reflect thecognitive system’s ability to adapt to the statisticalregularities within the environment. These cognitivesequential dependencies have been shown to occur undercarefully controlled laboratory settings as well as more recentstudies designed to determine if such effects occur in realworld scenarios. In this study we use these well-knownfindings to guide our analysis of over 2.2 million businessreview ratings. We explore how both within-reviewer andwithin-business (between reviewer) ratings are influenced byprevious ratings. Our findings, albeit exploratory, suggestthat current ratings are influenced in systematic ways by priorratings. This work is couched within a broader program thataims to determine the validity of laboratory findings usinglarge naturally occurring behavioral data.

Main Content
For improved accessibility of PDF content, download the file to your device.
Current View