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Jennifer S. Lerner

Researcher at Harvard University

Publications -  84
Citations -  20519

Jennifer S. Lerner is an academic researcher from Harvard University. The author has contributed to research in topics: Anger & Sadness. The author has an hindex of 41, co-authored 82 publications receiving 18335 citations. Previous affiliations of Jennifer S. Lerner include Carnegie Mellon University & University of California, Berkeley.

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Fear, anger, and risk.

TL;DR: The present studies highlight multiple benefits of studying specific emotions as a complement to studies that link affective valence to judgment outcomes, and predict that fear and anger have opposite effects on risk perception.
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Beyond valence: Toward a model of emotion-specific influences on judgement and choice

TL;DR: In this paper, a model of emotion-specific influences on judgement and choice is proposed, where each emotion is defined by a tendency to perceive new events and objects in ways that are consistent with the original cognitive-appraisal dimensions of the emotion.
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Accounting for the effects of accountability.

TL;DR: This article reviews the now extensive research literature addressing the impact of accountability on a wide range of social judgments and choices and highlights the utility of treating thought as a process of internalized dialogue and the importance of documenting social and institutional boundary conditions on putative cognitive biases.
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Emotion and Decision Making

TL;DR: This work organizes and analyze what has been learned from the past 35 years of work on emotion and decision making and proposes the emotion-imbued choice model, which accounts for inputs from traditional rational choice theory and from newer emotion research, synthesizing scientific models.
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Effects of Fear and Anger on Perceived Risks of Terrorism A National Field Experiment

TL;DR: The aftermath of September 11th highlights the need to understand how emotion affects citizens' responses to risk and provides an opportunity to test current theories of such effects, and predicted opposite effects for anger and fear on risk judgments and policy preferences.