论社交媒体推荐对意见共识的影响

V. Auletta, Antonio Coppola, Diodato Ferraioli
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引用次数: 1

摘要

我们考虑了一个离散意见形成问题,其中代理人受到其社会关系传播的信息和直接从社交媒体经理那里收到的建议的影响。我们研究了社交媒体影响力的“强度”和同质性比率如何影响主体达成共识的概率,以及这些因素如何决定达成共识的类型。在一个简单的2对称块模型中,我们证明了智能体收敛于共识或持续分歧。特别是,我们表明,当同质比率较大时,社交媒体决定意见动态结果的能力非常低。另一方面,当同质率较低时,社交媒体的影响可以在动态中发挥重要作用,要么使达成共识变得更加困难,要么在极端观点上诱导达成共识。最后,为了将我们的分析扩展到更一般和更现实的环境中,我们给出了一些实验证据,证明我们的结果仍然适用于一般网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the Impact of Social Media Recommendations on Opinion Consensus
We consider a discrete opinion formation problem in a setting where agents are influenced by both information diffused by their social relations and from recommendations received directly from the social media manager. We study how the"strength"of the influence of the social media and the homophily ratio affect the probability of the agents of reaching a consensus and how these factors can determine the type of consensus reached. In a simple 2-symmetric block model we prove that agents converge either to a consensus or to a persistent disagreement. In particular, we show that when the homophily ratio is large, the social media has a very low capacity of determining the outcome of the opinion dynamics. On the other hand, when the homophily ratio is low, the social media influence can have an important role on the dynamics, either by making harder to reach a consensus or inducing it on extreme opinions. Finally, in order to extend our analysis to more general and realistic settings we give some experimental evidences that our results still hold on general networks.
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