文献分享：Informational ecosystems提供了分析数据和代码

介绍

社会群体代表了一种集体身份，这种身份是由不同群体之间的结构关系不同的概念（如思想、价值观和目标）的独特共识所定义的。在这里，我们着手测量一组概念间语义关联，包括我们所说的概念图，如何在基于种族身份的既定社会群体之间协变，以及这种效应如何被信息生态系统调解，作为新闻来源。种族认同（278名黑人和294名白人美国人）和信息生态系统（左倾和右倾新闻来源）之间的群体差异存在于对医疗保健、警察和投票等概念的含义如何相互关联的主观判断中。这些概念图中的种族群体差异部分是由个人获取信息的新闻来源的偏见所介导的。这支持由公共概念语义关系定义组的想法，这些关系部分来自共享的信息生态系统。

Social groups represent a collective identity defined by a distinct consensus of concepts (e.g., ideas, values, and goals) whose structural relationship varies between groups. Here we set out to measure how a set of inter-concept semantic associations, comprising what we refer to as a concept graph, covaries between established social groups, based on racial identity, and how this effect is mediated by information ecosystems, contextualized as news sources. Group differences among racial identity (278 Black and 294 white Americans) and informational ecosystems (Left- and Right- leaning news sources) are present in subjective judgments of how the meaning of concepts such as healthcare, police, and voting relate to each other. These racial group differences in concept graphs were partially mediated by the bias of news sources that individuals get their information from. This supports the idea of groups being defined by common conceptual semantic relationships that partially arise from shared information ecosystems.

代码

• https://github.com/ExCaLBBR/ExCaLBBR_Projects/blob/main/GeometryBasedDecisions/code/GeoBasedDecisions_AnalysisPipeline.ipynb

参考

• Informational ecosystems partially explain differences in socioenvironmental conceptual associations between U.S. American racial groups
• https://github.com/ExCaLBBR/ExCaLBBR_Projects/blob/main/GeometryBasedDecisions/code/GeoBasedDecisions_AnalysisPipeline.ipynb