Enhanced ability of information gathering may intensify disagreement among groups
Enhanced ability of information gathering may intensify disagreement among groups
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信息收集能力的增强可能会加剧群体之间的分歧
DOI：
10.1103/physreve.102.012303
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发表时间：
2020
影响因子：
2.4
通讯作者：
Hiroki Sayama
中科院分区：
文献类型：
--
作者：
Yamamoto Hitoshi;Suzuki Takahisa;Umetani Ryohei;川瀬 智之;植木絵美，森下賀子，藤﨑万裕，岡崎真美，上野雅子，新井麻子．;Hiroki Sayama
今天的社会面临着持不相容观点的选民之间日益扩大的分歧和冲突。升级的观点和意见不仅出现在激进的意识形态或极端主义中，而且出现在我们日常生活的许多其他场景中。在这里，我们表明，扩大群体之间的分歧可能与信息通信技术的进步，通过分析人口动态的数学模型在一个连续的意见空间。我们采用交互核的方法来模拟人的信息收集能力的增强，并引入了广义非局部梯度作为个人的感知核。我们发现，人口峰值之间的特征距离变得更大的意见范围变得更广泛的个人或更多的注意力被吸引到远离他们的意见。这些发现可能为为什么在当今日益相互联系的社会中分歧越来越大提供了一个可能的解释，而不仅仅是将其原因归咎于特定的个人或事件。
Today's society faces widening disagreement and conflicts among constituents with incompatible views. Escalated views and opinions are seen not only in radical ideology or extremism but also in many other scenes of our everyday life. Here we show that widening disagreement among groups may be linked to the advancement of information communication technology by analyzing a mathematical model of population dynamics in a continuous opinion space. We adopted the interaction kernel approach to model enhancement of people's information-gathering ability and introduced a generalized nonlocal gradient as individuals' perception kernel. We found that the characteristic distance between population peaks becomes greater as the wider range of opinions becomes available to individuals or the more attention is attracted to opinions distant from theirs. These findings may provide a possible explanation for why disagreement is growing in today's increasingly interconnected society, without attributing its cause only to specific individuals or events.