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arXiv 2307.04475physics.soc-ph
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在线社会系统中意见误判与沉默涌现的建模

Modelling opinion misperception and the emergence of silence in online social system

Daniele Vilone, Eugenia Polizzi

AI总结:

本文通过数值模拟研究在线社交群体中意见误判的形成机制,发现少数高连接魅力个体引发的沉默螺旋是导致少数意见被高估的主要原因。

摘要:

在过去的几十年里,越来越多的研究调查了人类社区中意见误判的现象,并且最近也开始关注社交媒体中的这一现象。意见误判是指社区成员对某一给定话题的意见或信念的真实分布做出错误评估。在这项工作中,我们探索了社交媒体群体中产生意见误判的机制,这些群体比物理社区更大,并具有独特的拓扑特征。通过数值模拟,我们表明这类社区的连接结构确实在扭曲个体对他人信念的感知方面发挥了作用,但这本质上是一种间接效应。此外,我们表明产生误判的主要因素是由少数连接良好且具有魅力的个体所引发的沉默螺旋,这种沉默螺旋迅速驱使大多数个体保持沉默而不披露其真实信念,从而导致少数派意见在整个社区中显得更为普遍。

英文摘要:

In the last decades an increasing deal of research has investigated the phenomenon of opinion misperception in human communities and, more recently, in social media. Opinion misperception is the wrong evaluation by community's members of the real distribution of opinions or beliefs about a given topic. In this work we explore the mechanisms giving rise to opinion misperception in social media groups, which are larger than physical ones and have peculiar topological features. By means of numerical simulations, we suggest that the structure of connections of such communities plays indeed a role in distorting the perception of the agents about others' beliefs, but it is essentially an indirect effect. Moreover, we show that the main ingredient that generates the misperception is a spiral of silence induced by few, well connected and charismatic agents, which rapidly drives the majority of individuals to stay silent without disclosing their true belief, leading minoritarian opinions to appear more widespread throughout the community.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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