Yinling Zhang, Rongrong Chen, Siqi Liu, Peiqi Chen, Xiaoqin Mai
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引用次数: 0
Abstract
The phenomenon of beneficiaries ignoring benefactors' violations, ranging from everyday favors to bribes, is widespread yet lacks targeted theoretical and empirical attention. We propose a conceptual framework that includes "social debt" and "reciprocity bias," where "social debt" is defined as information about benefits bestowed by benefactors and "reciprocity bias" as the influence of social debt on beneficiaries' perceptions and decisions in situations involving the benefactor. To investigate this bias in moral perception and its cognitive-neural mechanisms, we manipulated three levels of social debt (none, less, more) by varying the amount of unasked benefits that benefactors bestowed upon participants. Participants then observed the distributor's fair or unfair allocation of resources to another person, while their electroencephalography (EEG) was recorded. Results indicate that more (vs. none/less) social debt reduces perceptions of unfairness toward benefactors' violations and enhances fairness perceptions of their norm adherence. This was, accompanied by the diminished fairness effect on fronto-centered P2 and a reversal fairness effect on the power of theta oscillations (4 to 7 Hz). These findings support a multilevel reciprocity bias in fairness perception, suggesting that strong social debt may heighten concern for benefactor's interests and increase the adaptive value of their violations at the cognitive-neural level.
期刊介绍:
Cerebral Cortex publishes papers on the development, organization, plasticity, and function of the cerebral cortex, including the hippocampus. Studies with clear relevance to the cerebral cortex, such as the thalamocortical relationship or cortico-subcortical interactions, are also included.
The journal is multidisciplinary and covers the large variety of modern neurobiological and neuropsychological techniques, including anatomy, biochemistry, molecular neurobiology, electrophysiology, behavior, artificial intelligence, and theoretical modeling. In addition to research articles, special features such as brief reviews, book reviews, and commentaries are included.