20-F: How People Compose and Detect Insincere Product Reviews: Combining Experimental and Automated-Text-Analysis Approaches

We explore how consumers compose and read true/fake reviews. We confirm predictions regarding the linguistic aspects of insincere reviews using automatic text analysis. We also find that awareness of these aspects does not improve fake review composition or detection, suggesting these aspects are outcomes of deep psychological processes of lying.



Citation:

Ann Kronrod, Jeff Lee, and Ivan Gordeliy (2017) ,"20-F: How People Compose and Detect Insincere Product Reviews: Combining Experimental and Automated-Text-Analysis Approaches", in NA - Advances in Consumer Research Volume 45, eds. Ayelet Gneezy, Vladas Griskevicius, and Patti Williams, Duluth, MN : Association for Consumer Research, Pages: 1042-1042.

Authors

Ann Kronrod, University of Massachusetts - Lowell, USA
Jeff Lee, New York University, Shanghai, China
Ivan Gordeliy, École Normale Supérieure, France



Volume

NA - Advances in Consumer Research Volume 45 | 2017



Share Proceeding

Featured papers

See More

Featured

The Influence of Conflicting and Complementary Benefit Goals on the Execution of Accuracy and Effort Process Goals

Felipe Marinelli Affonso, University of Florida, USA
Chris Janiszewski, University of Florida, USA

Read More

Featured

L14. Christmas Decorations in September – What Happened to Halloween? The Effect of Prospective Event Markers on Time Perceptions and Attitudes Towards Promotions

Chaumanix Dutton, University of Southern California, USA
Kristin Diehl, University of Southern California, USA

Read More

Featured

Bundle Variety and Preference: A Neuromarketing Study Using Event-Related Potentials

Ruyi Qiu, Tsinghua University
Xiaoang Wan, Tsinghua University

Read More

Engage with Us

Becoming an Association for Consumer Research member is simple. Membership in ACR is relatively inexpensive, but brings significant benefits to its members.