ABSTRACT We explore a new mechanism to explain polarization phenomena in opinion dynamics in which agents evaluate alternative views on the basis of the social feedback obtained on expressing them. High support of the favored opinion in the social environment is treated as a positive feedback which reinforces the value associated to this opinion. In connected networks of sufficiently high modularity, different groups of agents can form strong convictions of competing opinions. Linking the social feedback process to standard equilibrium concepts we analytically characterize sufficient conditions for the stability of bi-polarization. While previous models have emphasized the polarization effects of deliberative argument-based communication, our model highlights an affective experience-based route to polarization, without assumptions about negative influence or bounded confidence.

中文翻译：

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从社会反馈中学习意见两极分化

摘要 我们探索了一种新机制来解释意见动态中的两极分化现象，其中代理根据表达意见所获得的社会反馈来评估不同意见。社会环境中对赞成意见的高度支持被视为一种积极的反馈，它加强了与该意见相关的价值。在具有足够高模块化的连接网络中，不同的智能体群体可以形成对竞争意见的强烈信念。将社会反馈过程与标准均衡概念联系起来，我们分析了双极化稳定性的充分条件。虽然之前的模型强调了基于协商论证的交流的极化效应，但我们的模型强调了基于情感体验的极化途径，