信息传播和意见两极分化之间的机制性相互作用
Kleber Andrade Oliveira1, Henrique Ferraz de Arruda2,3, Yamir Moreno3,4
1Social Dynamics Research Lab, Department of Psychology, University of Limerick, Limerick V94 T9PX, Ireland.
PNAS nexus
|January 21, 2026
概括
这项研究使用基于代理的模拟来探索信息传播和用户行为如何在社交网络上相互作用. 调查结果揭示了平台特征和用户注意力如何影响论动态,可能导致两极分化或逆转.
科学领域:
- 计算社会科学 计算社会科学
- 网络科学 网络科学
- 意见的动态 意见的动态
背景情况:
- 社交媒体平台有助于快速传播信息,影响用户的意见和网络结构.
- 了解信息传播和用户行为之间的相互作用对于分析在线社会动态至关重要.
- 用户注意力有限和平台算法创造了复杂的信息环境.
研究的目的:
- 调查信息传播机制和意见动态的相互影响.
- 在具有有限用户记忆力的自适应性社交网络中建模和分析意见形成.
- 探索平台功能和用户行为如何促进意见两极分化或反转.
主要方法:
- 在适应性社交网络上基于代理的模拟.
- 用有限的记忆和注意力范围来建模用户行为.
- 从微博平台对模型进行实证数据的校准.
主要成果:
- 有限的内存引入了新的系统状态,影响了信息传播.
- 模型参数可以确定意见配置,维持或逆转两极分化.
- 该模型成功地重现了经验信息级联统计数据.
结论:
- 开发的模型为理解意见两极化和回声室提供了一个强大的框架.
- 平台内容推,网络重新布线和用户注意力是意见动态的关键因素.
- 反响室可以被视为在这些复杂的系统中意见两极分化的专门结果.
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