Echo chambers and viral misinformation: Modeling fake news as complex contagion
Echo chambers and viral misinformation: Modeling fake news as complex contagion
复制标题
回声室和病毒性错误信息：将假新闻建模为复杂的传染病
作者：
Petter Törnberg
数字错误信息的病毒式传播已经变得如此严重，以至于世界经济论坛将其视为对人类社会的主要威胁之一。这种传播被认为与类似问题的“回音室”现象有关，但由于社交媒体的关联性，这种关系的因果性质很难厘清，其因果关系具有复杂性、非线性和涌现性的特点。本文使用网络仿真模型来研究回音室和错误信息的病毒式传播之间的可能关系。研究发现了一种“回音室效应”：网络中意见和网络两极分化的节点群的存在有助于复杂传染病的扩散，并且意见和网络两极分化在错误信息的传播上存在协同效应。回音室效应很可能来自于它们形成了最初的扩散潮流。这些发现对研究新社交媒体的媒介逻辑具有一定的借鉴意义。
The viral spread of digital misinformation has become so severe that the World Economic Forum considers it among the main threats to human society. This spread have been suggested to be related to the similarly problematized phenomenon of “echo chambers”, but the causal nature of this relationship has proven difficult to disentangle due to the connected nature of social media, whose causality is characterized by complexity, non-linearity and emergence. This paper uses a network simulation model to study a possible relationship between echo chambers and the viral spread of misinformation. It finds an “echo chamber effect”: the presence of an opinion and network polarized cluster of nodes in a network contributes to the diffusion of complex contagions, and there is a synergetic effect between opinion and network polarization on the virality of misinformation. The echo chambers effect likely comes from that they form the initial bandwagon for diffusion. These findings have implication for the study of the media logic of new social media.
影响因子：
158.5
作者：
Christakis, Nicholas A.;Fowler, James H.
通讯作者：
Fowler, James H.