The lack of context that a multimedia document taken in isolation can provide, hinders a proper understanding of the story being reported. International news items are a good example of such phenomena. Therefore, there is a need of unveiling other story's aspects that, even not being explicitly present in the seed document, are crucial to fully capture the backstory. To deal with this problem, we propose an innovative conceptual model called the News Semantic Snapshot (NSS) that is designed to make explicit the wide context of a news event. Following a process called Named Entity Expansion, we query the Web to bring other viewpoints about what is happening around us, from the thousands of news articles and posts where we could potentially find those missing story details. We have also proposed an innovative Concentric-based approach that better spots those contextual entities by leveraging on the duality between the so-called Core, which contains representative entities that are frequently mentioned in the related documents, and the the ones that hold particular semantic relationships with the Core and shape up the Crust around it.