论文标题
中间议程制定的网络观点
A network perspective on intermedia agenda-setting
论文作者
论文摘要
在交流理论中，中间议程制定的是指不同新闻来源可能对彼此产生的影响，以及随后如何影响向公众提供的信息广度。几项研究试图量化中间议程在特定国家或环境中的影响，但是仍然缺乏大规模的数据驱动调查。在这里，我们通过提出一种方法来推出一种方法来推论在给定主题上的不同新闻来源之间的影响网络，并将其应用于2016年全球和本地著名新闻机构发表的大型新闻数据的数据集，我们发现与特定的新闻依赖，同一新闻依赖于某些新闻（即，inodece）（即，inods）（即，inod ofertions），将其应用于特定的新闻（即核心）（即，nonods）（即，即nonod ofdents）（即，'' （即外围节点）相对于他人。同时，我们发现与大多数主题相关的影响网络展示了小世界的属性，我们发现这对网络中新闻来源对此主题表达的情感的整体多样性发挥了重要作用。特别是，我们发现影响网络的聚类和密度在这方面充当竞争力量，而前者的增加和后者降低了多样性。
In Communication Theory, intermedia agenda-setting refers to the influence that different news sources may have on each other, and how this subsequently affects the breadth of information that is presented to the public. Several studies have attempted to quantify the impact of intermedia agenda-setting in specific countries or contexts, but a large-scale, data-driven investigation is still lacking. Here, we operationalise intermedia agenda-setting by putting forward a methodology to infer networks of influence between different news sources on a given topic, and apply it on a large dataset of news articles published by globally and locally prominent news organisations in 2016. We find influence to be significantly topic-dependent, with the same news sources acting as agenda-setters (i.e., central nodes) with respect to certain topics and as followers (i.e., peripheral nodes) with respect to others. At the same time, we find that the influence networks associated with most topics exhibit small world properties, which we find to play a significant role towards the overall diversity of sentiment expressed about the topic by the news sources in the network. In particular, we find clustering and density of influence networks to act as competing forces in this respect, with the former increasing and the latter reducing diversity.
