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.
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.
Ann Kronrod, University of Massachusetts - Lowell, USA
Jeff Lee, New York University, Shanghai, China
Ivan Gordeliy, École Normale Supérieure, France
NA - Advances in Consumer Research Volume 45 | 2017
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
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
Bundle Variety and Preference: A Neuromarketing Study Using Event-Related Potentials
Ruyi Qiu, Tsinghua University
Xiaoang Wan, Tsinghua University