Political Ideology and Polarization: A Multi-dimensional Approach
Political Ideology and Polarization: A Multi-dimensional Approach
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DOI：
10.18653/v1/2022.naacl-main.17
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
Barea M. Sinno;Bernardo Oviedo;Katherine Atwell;Malihe Alikhani;J. Li
中科院分区：
文献类型：
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作者：
Barea M. Sinno;Bernardo Oviedo;Katherine Atwell;Malihe Alikhani;J. Li
分析意识形态和两极分化对于推进我们对现代政治的把握至关重要。最近的研究在理解新闻媒体沿着左翼和右翼光谱的意识形态偏见(即立场)方面取得了长足的进步。在这项工作中，我们采取了一种新颖的、更微妙的方法来研究意识形态，基于它在所讨论的问题上的左翼或右翼立场。与政治学中的理论描述相一致，我们将意识形态视为一个多维结构，并引入了第一个历时的新闻文章数据集，其意识形态立场由训练有素的政治学家和语言学家在段落层面上进行注释。我们展示了，通过控制作者的立场，我们的方法允许将两极分化作为多维意识形态距离进行定量和时间测量和分析。我们进一步提出了意识形态预测的基线模型，概述了一项不同于立场检测的具有挑战性的任务。
Analyzing ideology and polarization is of critical importance in advancing our grasp of modern politics. Recent research has made great strides towards understanding the ideological bias (i.e., stance) of news media along the left-right spectrum. In this work, we instead take a novel and more nuanced approach for the study of ideology based on its left or right positions on the issue being discussed. Aligned with the theoretical accounts in political science, we treat ideology as a multi-dimensional construct, and introduce the first diachronic dataset of news articles whose ideological positions are annotated by trained political scientists and linguists at the paragraph level. We showcase that, by controlling for the author’s stance, our method allows for the quantitative and temporal measurement and analysis of polarization as a multidimensional ideological distance. We further present baseline models for ideology prediction, outlining a challenging task distinct from stance detection.