发表机构
University of Exeter; Vrije Universiteit Amsterdam（埃克塞特大学; 阿姆斯特丹自由大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究通过智能体模型，探讨个体意识形态偏见与社会影响在网络互动中如何共同作用于错误信息的传播，并强调网络结构和偏见强度的重要性。
AI 中文摘要
随着新闻在社交媒体上的快速传播，理解错误信息的传播变得越来越重要。影响个体易受虚假信息影响的一个因素是他们的意识形态倾向。尽管大量基于智能体的模型关注社会影响作为虚假主张传播的驱动力，但这些模型往往未能明确地将个人意识形态偏见整合到信念形成中。在本研究中，我们探讨了错误信息如何通过个体意识形态偏见与社会影响之间的相互作用而传播。我们的模型同时考虑了个体意识形态偏见的强度以及虚假主张与其意识形态的吻合程度。社会影响通过网络互动来调节意识形态强度和虚假主张吻合度的影响。值得注意的是，邻居的意识形态强度对信念的影响强烈地受到这些邻居之间相互连接程度的影响。这些结果强调了在建模错误信息传播时，同时考虑网络结构和个人意识形态偏见的重要性。
英文摘要
With the rapid spread of news on social media, understanding the propagation of misinformation is becoming increasingly important. One factor that affects individuals' vulnerability to false information is their ideological predisposition. Despite the large number of agent-based models that focus on social influence as a driver of the spread of false claims, they often fail to explicitly integrate personal ideological biases into belief formation. In this work, we explore how misinformation spreads through the interaction between individuals' ideological biases and social influence. Our model accounts for both the strength of individuals' ideological biases and the extent to which a false claim aligns with their ideology. Social influence modifies the effects of ideological intensity and false claim alignment through network interactions. Notably, the influence of neighbours' ideological intensity on belief is strongly affected by how well those neighbours are connected to one another. These results highlight the importance of considering both network structure and personal ideological biases when modelling misinformation propagation.
Comments18 pages, 9 figures, 1 table
