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.

中文翻译：

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增强的信息收集能力可能加剧群体之间的分歧。

当今社会面对观点不一致的三方成员之间日益扩大的分歧和冲突。不断升级的观点和见解不仅在激进的意识形态或极端主义中得到体现，而且在我们日常生活的许多其他场景中也得到体现。在这里，我们通过分析连续意见空间中人口动态的数学模型，表明群体之间分歧的扩大可能与信息通信技术的发展有关。我们采用交互核方法对人们的信息收集能力进行建模，并引入广义的非局部梯度作为个人的感知核。我们发现，随着个人的意见范围越来越广，或者远离个人的意见越来越受到关注，人口高峰之间的特征距离会越来越大。这些发现可能提供一个解释，说明为什么在当今日益相互联系的社会中分歧越来越大，而没有将其原因仅归因于特定的个人或事件。