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A Dynamic Computational Model of Social Stigma
Journal of Artificial Societies and Social Simulation ( IF 3.506 ) Pub Date : 2020-01-01 , DOI: 10.18564/jasss.4225
Myong-Hun Chang , Joseph Harrington

The dynamics of social stigma are explored in the context of di usionmodels. Our focus is on exploring the dynamic process through which the behavior of individuals and the interpersonal relationships among them influence the macro-social attitude towards the stigma. We find that a norm of tolerance is best promoted when the population comprises both those whose conduct is driven by compassion for the stigmatized and those whose focus is on conforming with others in their social networks. A second finding is that less insular social networks encourage de-stigmatization when most people are compassionate, but it is instead more insularity that promotes tolerance when society is dominated by conformity.

中文翻译:

社会污名的动态计算模型

在歧视模型的背景下探索了社会污名化的动力。我们的重点是探索动态过程,个体的行为及其之间的人际关系通过这种过程影响对污名的宏观社会态度。我们发现,当人口既包括那些行为受到受污名同情的驱使的人,又包括关注与自己社交网络中的其他人保持一致的人时,最好地促进宽容准则。第二个发现是,当大多数人富有同情心时,孤立的社交网络会鼓励去污名化,而当社会以整合为主导时,更多的孤立会促进宽容。
更新日期:2020-01-01
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