Detection of news propagation barriers, being economical, cultural, political, time zonal, or geographical, is still an open research issue. We present an approach to barrier detection in news spreading by utilizing Wikipedia-concepts and metadata associated with each barrier. Solving this problem can not only convey the information about the coverage of an event but it can also show whether an event has been able to cross a specific barrier or not. Experimental results on IPoNews dataset (dataset for information spreading over the news) reveals that simple classification models are able to detect barriers with high accuracy. We believe that our approach can serve to provide useful insights which pave the way for the future development of a system for predicting information spreading barriers over the news.

翻译：发现经济、文化、政治、时区或地理上的新闻传播障碍仍然是一个开放的研究问题。 我们提出一种方法,利用维基百科概念和与每个障碍相关的元数据,在新闻传播中发现障碍。 解决这个问题不仅能传达关于某一事件报道的信息,而且还能显示某一事件是否能够跨越特定障碍。 IPONews数据集(新闻传播信息的数据集)的实验结果显示,简单的分类模式能够非常准确地发现障碍。 我们认为,我们的方法可以提供有用的洞察力,为未来开发一个预测新闻传播障碍的信息的系统铺平道路。