Variations on a human universal: Individual differences in positivity offset and negativity bias
By Tiffany A. Ito, John T. Cacioppo. 2005
226 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, General Decision Sciences, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/7bc5faf91414d16d7bfbf0b53532d203a379b916
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- S. Nordin
- H. Sequeira
- Jonas K. Olofsson
- Stephen J. Read
- John Polich
- Yu Yang
- Aaron Brownstein
- Brian Monroe
In General Decision Sciences
In Sociology and Political Science
Citations in the corpus
- Legitimacy‐as‐Feeling: How Affect Leads to Vertical Legitimacy Spillovers in Transnational Governance (2014, unknown): “However, various scholars have noted that at low levels of arousal, individuals typically pay more attention to positive stimuli than to negative stimuli of equal strength; that is, in such situations “good is stronger than bad” (Cacioppo and Gardner, 1999; Ito and Cacioppo, 2005).”
- Hedonic Adaptation to Positive and Negative Experiences (2010, background): “…event than they are made happy by an equivalent positive event, the same pattern indicated by prospect theory’s value function (Kahneman & Tversky, 1984 ) and referred by others as the negativity bias (Ito & Cacioppo, 2005 ; Rozin & Royzman, 2001 ; see also Strahilevitz & Loewenstein, 1998 ).”
- Affective picture processing: an integrative review of ERP findings. (2008, background): “Future affective ERP applications could include assessment of individual differences as associated with cultural idiosyncrasies, demographic, and personality factors related to affective disposition (Davidson, 2001, 2003; Ito and Cacioppo, 2005).”
- Advances and Open Questions in the Science of Subjective Well-Being (2018, unknown): “…people seem to have a negativity bias, in that they react more quickly and intensely to negative information in the environment, they also seem to have a “positivity offset,” in which their default state is more likely to be positive than negative (Cacioppo & Berntson, 1999; Ito & Cacioppo, 2005).”
- A neural network model of the structure and dynamics of human personality. (2010, background): “Ito and Cacioppo (2005) have recently provided evidence for individual differences in the strength of both positivity offset and negativity bias and for their impact on the evaluation of social stimuli.”
- The Contributions of Positive and Negative Affect to Emotional Well-Being (2009, background): “Ito and Cacioppo (2005) described positive and negative motivational systems with their separable activation functions.”