Publications
Publications
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- Faculty Publications (25)
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- Article
Temporal View of the Costs and Benefits of Self-Deception
By: Zoe Chance, Michael I. Norton, Francesca Gino and Dan Ariely
Researchers have documented many cases in which individuals rationalize their regrettable actions. Four experiments examine situations in which people go beyond merely explaining away their misconduct to actively deceiving themselves. We find that those who exploit... View Details
- 2010
- Working Paper
Men as Cultural Ideals: How Culture Shapes Gender Stereotypes
By: Amy J.C. Cuddy, Susan Crotty, Jihye Chong and Michael I. Norton
Three studies demonstrate how culture shapes the contents of gender stereotypes, such that men are perceived as possessing more of whatever traits are culturally valued. In Study 1, Americans rated men as less interdependent than women; Koreans, however, showed the... View Details
- 2005
- Working Paper
Letting Misconduct Slide: The Acceptability of Gradual Erosion in Others' Unethical Behavior
By: Francesca Gino and Max H. Bazerman
Four laboratory studies show that people are more likely to overlook others' unethical behavior when ethical degradation occurs slowly rather than in one abrupt shift. Participants served in the role of watchdogs charged with catching instances of cheating. The... View Details
- July 1977
- Article
Social Roles, Social Control and Biases in Social Perception Processes
By: L. D. Ross, T. M. Amabile and J. Steinmetz
To make accurate social judgments, an individual must both recognize and adequately correct for the self-presentation advantages or disadvantages conferred upon actors by their social roles. Two experiments using 120 undergraduates examined social perceptions formed... View Details
- Forthcoming
- Article
Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation
By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
Even if algorithms make better predictions than humans on average, humans may sometimes have private information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by... View Details