Working Papers

Detecting Fictitious Consumer Reviews: A Theory-Driven Approach Combining Automated Text Analysis and Experimental Design

Ann Kronrod, Jeffrey K. Lee, and Ivan Gordeliy

Oct 4, 2017

Identifies a novel method to identify potentially fictitious product reviews leveraging linguistic theory, experiment-driven data sampling, and automated text analysis. Implementing an experimental design, investigates people’s ability to detect fictitious reviews.

By using you agree to our use of cookies as identifiers and for other features of the site as described in our Privacy Policy.