With the rise of computational social science, many scholars utilize data analysis and natural language processing tools to analyze social media, news articles, and other accessible data sources for examining political and social discourse. Particularly, the study of the emergence of echo-chambers due to the dissemination of specific information has become a topic of interest in mixed methods research areas. In this paper, we analyze data collected from two news portals, Breitbart News (BN) and New York Times (NYT) to prove the hypothesis that the formation of echo-chambers can be partially explained on the level of an individual information consumption rather than a collective topology of individuals' social networks. Our research findings are presented through knowledge graphs, utilizing a dataset spanning 11.5 years gathered from BN and NYT media portals. We demonstrate that the application of knowledge representation techniques to the aforementioned news streams highlights, contrary to common assumptions, shows relative "internal" neutrality of both sources and polarizing attitude towards a small fraction of entities. Additionally, we argue that such characteristics in information sources lead to fundamental disparities in audience worldviews, potentially acting as a catalyst for the formation of echo-chambers.

翻译：随着计算社会科学的发展，众多学者利用数据分析与自然语言处理工具对社会媒体、新闻文章及其他可获取的数据源进行分析，以考察政治与社会话语。尤其在混合研究方法领域，因特定信息传播导致回音室现象的出现已成为研究热点。本文通过分析从Breitbart News（BN）与纽约时报（NYT）两家新闻门户收集的数据，验证了如下假设：回音室的形成在一定程度上可归结于个体层面的信息消费模式，而非个体社交网络的集体拓扑结构。研究结果以知识图谱形式呈现，基于从BN与NYT媒体门户采集的11.5年数据集。研究表明，与传统认知相反，对上述新闻流应用知识表示技术后，发现两个信源均表现出相对的"内在"中立性，仅对少数实体呈现极化态度。此外，我们论证这类信息源特征将导致受众世界观的根本性差异，可能成为回音室形成的催化剂。