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Influence of Emotionally Charged Information on Category-Based Induction

Overview of attention for article published in PLOS ONE, January 2013
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Title
Influence of Emotionally Charged Information on Category-Based Induction
Published in
PLOS ONE, January 2013
DOI 10.1371/journal.pone.0054286
Pubmed ID
Authors

Jennifer Zhu, Gregory L. Murphy

Abstract

Categories help us make predictions, or inductions, about new objects. However, we cannot always be certain that a novel object belongs to the category we are using to make predictions. In such cases, people should use multiple categories to make inductions. Past research finds that people often use only the most likely category to make inductions, even if it is not certain. In two experiments, subjects read stories and answered questions about items whose categorization was uncertain. In Experiment 1, the less likely category was either emotionally neutral or dangerous (emotionally charged or likely to pose a threat). Subjects used multiple categories in induction when one of the categories was dangerous but not when they were all neutral. In Experiment 2, the most likely category was dangerous. Here, people used multiple categories, but there was also an effect of avoidance, in which people denied that dangerous categories were the most likely. The attention-grabbing power of dangerous categories may be balanced by a higher-level strategy to reject them.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 7%
Russia 1 7%
Unknown 12 86%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 14%
Student > Ph. D. Student 2 14%
Student > Postgraduate 2 14%
Other 1 7%
Student > Master 1 7%
Other 3 21%
Unknown 3 21%
Readers by discipline Count As %
Psychology 7 50%
Business, Management and Accounting 1 7%
Philosophy 1 7%
Social Sciences 1 7%
Neuroscience 1 7%
Other 0 0%
Unknown 3 21%