论文标题
回声室和信息传输偏见
Echo chambers and information transmission biases in homophilic and heterophilic networks
论文作者
论文摘要
我们研究信息传递偏见是如何通过网络的结构特性与无合成均匀均匀/异性网络中信息动态之间的相互作用产生的。我们提供简单的数学工具来量化这些偏见。简单和复杂的传染模型都不足以预测明显的偏见。相反，简单和复杂的传染模型都会产生三种不同的同质依赖性偏见：发射率和接受性偏见和回声室。具有高同质性的经验网络中的模拟证实了这些偏见的存在。我们的结果阐明了在信息源可见性，减少信息访问以及不同群体之间缺乏通信的机制中引起不平等的机制。
We study how information transmission biases arise by the interplay between the structural properties of the network and the dynamics of the information in synthetic scale-free homophilic/heterophilic networks. We provide simple mathematical tools to quantify these biases. Both Simple and Complex Contagion models are insufficient to predict significant biases. In contrast, a Hybrid Contagion model -- in which both Simple and Complex Contagion occur -- gives rise to three different homophily-dependent biases: emissivity and receptivity biases,and echo chambers. Simulations in an empirical network with high homophily confirm the existence of these biases. Our results shed light into the mechanisms that cause inequalities in the visibility of information sources, reduced access to information, and lack of communication among distinct groups.
