Li Zhuang, Hu Gengdan, Li Qiangqiang
Department of Psychology, School of Humanities, Tongji University, Shanghai 200092, China.
Clinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center, School of Medicine, Tongji University, Shanghai 200124, China.
Behav Sci (Basel). 2023 Jun 1;13(6):456. doi: 10.3390/bs13060456.
The intergroup bias in third-party fairness maintenance includes two components: ingroup love and outgroup hate. Previous studies revealed that intergroup bias could be alleviated by high social identity complexity. This study explored the influence of the social identity complexity of parties in unfair events on intergroup bias in third-party fairness maintenance. Participants were divided into two groups and asked to choose from retention and punishment (Experiment One)/compensation (Experiment Two) to respond to unfair events presented by dictator games. To separate the components, we introduced additional unaffiliated members. Social identity complexity included single identity, presented as ingroup vs. outgroup sides of unfair events, and multiple identities, which included group identity and five additional identities. The results demonstrated that third parties tended to impose less punishment and more compensation on outgroup members under multiple than single identity conditions; however, the punishment and compensation to ingroup members exhibited no significant difference between the identity conditions. These results indicated that the multiple identities of the two sides in unfair events can reduce intergroup bias in third-party fairness maintenance, which can be achieved by reducing the outgroup hate rather than ingroup love.
内群体喜爱和外群体厌恶。以往研究表明,高社会身份复杂性可以减轻群体间偏见。本研究探讨了不公平事件中各方的社会身份复杂性对第三方公平维护中群体间偏见的影响。参与者被分为两组,并被要求从保留和惩罚(实验一)/补偿(实验二)中选择来回应独裁者博弈呈现的不公平事件。为了区分这些成分,我们引入了额外的无关联成员。社会身份复杂性包括单一身份,表现为不公平事件的内群体与外群体方,以及多重身份,其中包括群体身份和另外五个身份。结果表明,在多重身份而非单一身份条件下,第三方对外群体成员倾向于施加更少的惩罚和更多的补偿;然而,身份条件之间对内群体成员的惩罚和补偿没有显著差异。这些结果表明,不公平事件中双方的多重身份可以减少第三方公平维护中的群体间偏见,这可以通过减少外群体厌恶而非内群体喜爱来实现。