论文标题
超越离散类型：将新闻项目映射到多维流派提示的框架上
Beyond Discrete Genres: Mapping News Items onto a Multidimensional Framework of Genre Cues
论文作者
论文摘要
在当代媒体景观中，随着新闻的广泛和多样化的供应，研究如此大量的物品而没有标准化的框架，这一挑战越来越大。尽管已经尝试根据新闻价值来组织和比较新闻项目，但新闻流派很少受到关注，尤其是新闻消费者的看法中的流派。然而，感知到的新闻流派是探索新闻如何发展的重要组成部分，以及理解媒体效果的前提。我们通过概念化和操作一个非差异框架来绘制新闻项目的概念化和操作，从而解决这个概念。作为起点，我们提出了一组由“事实”和“形式”组成的初步维度。为了自动分析大量新闻项目，我们提供了两个计算模型，以根据上述二维来预测新闻句子。然后，可以将这些预测用于在我们的框架内找到新闻项目。这种提出的方法将新闻项目定位在多维网格上，有助于加深我们对新闻流派不断发展的本质的见解。
In the contemporary media landscape, with the vast and diverse supply of news, it is increasingly challenging to study such an enormous amount of items without a standardized framework. Although attempts have been made to organize and compare news items on the basis of news values, news genres receive little attention, especially the genres in a news consumer's perception. Yet, perceived news genres serve as an essential component in exploring how news has developed, as well as a precondition for understanding media effects. We approach this concept by conceptualizing and operationalizing a non-discrete framework for mapping news items in terms of genre cues. As a starting point, we propose a preliminary set of dimensions consisting of "factuality" and "formality". To automatically analyze a large amount of news items, we deliver two computational models for predicting news sentences in terms of the said two dimensions. Such predictions could then be used for locating news items within our framework. This proposed approach that positions news items upon a multidimensional grid helps in deepening our insight into the evolving nature of news genres.
