论文标题
提高信息收集能力可能会加剧群体之间的分歧
Enhanced Ability of Information Gathering May Intensify Disagreement Among Groups
论文作者
论文摘要
当今的社会面临着不兼容观点的成分之间的分歧和冲突。不仅在激进的意识形态或极端主义，而且在我们日常生活的许多其他场景中都可以看到升级的观点和观点。在这里，我们表明，通过分析连续意见空间中人口动态的数学模型，可以通过分析信息通信技术的进步来扩大分歧可能与信息通信技术的进步有关。我们采用了相互作用内核方法来建模人们的信息收集能力，并引入了广义的非本地梯度作为个人的感知核。我们发现，随着个人的更广泛的意见范围，人口峰之间的特征距离变得更大，或者吸引了更大的关注因与他们的意见所吸引。这些发现可能提供了一个可能的解释，说明为什么在当今越来越相互联系的社会中分歧不断增长，而不将其原因仅归因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 non-local 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 greater 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.
