How neighbourhood ideology shapes misinformation belief in densely tied social networks

2026-09-09

AI Summary

研究通过结合个人意识形态偏见与社会影响，探索了错误信息在紧密联系的社会网络中的传播机制。

Abstract

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.

Problem

• misinformation
• ideological bias
• social influence
• network structure

Innovation

• ideological bias
• social influence
• network structure
• misinformation propagation