Giving Others the Benefit of the Doubt: A Positivity Bias in Trait Inferences

2000 ◽  
Author(s):  
Thomas D. Griffin
2013 ◽  
Vol 20 (12) ◽  
pp. 1908-1919
Author(s):  
Yi-Ping ZHONG ◽  
Yun CHEN ◽  
Shan-Ming ZHANG ◽  
Qing-Song YANG
Keyword(s):  

2019 ◽  
Vol 47 (8) ◽  
pp. 1-9
Author(s):  
Pei Wang ◽  
Ai-hua Tao ◽  
Fan Gao ◽  
Yi-wen Xie

We adopted the probe recognition paradigm to examine the effect of stereotype activation on spontaneous inferences among Chinese undergraduates (N = 48). First, behavioral sentences involving trait-implying behavior and corresponding situational information were simultaneously presented. We then selected stereotype labels of the actor's behavior that were consistent or inconsistent with the behavior, and which were activated either supraliminally or subliminally. The results showed that whether a stereotype was activated supraliminally or subliminally, the influence on spontaneous inferences was the same. Specifically, when the stereotype was inconsistent with the actor's behavior, spontaneous situational inferences were facilitated, and when the stereotype was consistent with the actor's behavior, spontaneous trait inferences were not facilitated. As Chinese people may be more prone to spontaneous (vs. trait) inferences, this indicates that human inferences are deeply influenced by culture.


2021 ◽  
pp. 135625
Author(s):  
Ruixue Xia ◽  
Honghong Shao ◽  
Lili Cui ◽  
Peiying Zhang ◽  
Junwei Xue ◽  
...  

2015 ◽  
Vol 112 (8) ◽  
pp. 2389-2394 ◽  
Author(s):  
Peter Sheridan Dodds ◽  
Eric M. Clark ◽  
Suma Desu ◽  
Morgan R. Frank ◽  
Andrew J. Reagan ◽  
...  

Using human evaluation of 100,000 words spread across 24 corpora in 10 languages diverse in origin and culture, we present evidence of a deep imprint of human sociality in language, observing that (i) the words of natural human language possess a universal positivity bias, (ii) the estimated emotional content of words is consistent between languages under translation, and (iii) this positivity bias is strongly independent of frequency of word use. Alongside these general regularities, we describe interlanguage variations in the emotional spectrum of languages that allow us to rank corpora. We also show how our word evaluations can be used to construct physical-like instruments for both real-time and offline measurement of the emotional content of large-scale texts.


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