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



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