Aligning Multidimensional Worldviews and Discovering Ideological Differences
Aligning Multidimensional Worldviews and Discovering Ideological Differences
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DOI：
10.18653/v1/2021.emnlp-main.396
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
Jeremiah Milbauer;Adarsh Mathew;James A. Evans
中科院分区：
文献类型：
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作者：
Jeremiah Milbauer;Adarsh Mathew;James A. Evans
互联网是成千上万个社区的家园，每个社区都有自己独特的世界观和相关的意识形态差异。随着新的社区不断出现并成为意识形态的发源地、战场和掩体，建立一个理解世界观和意识形态区别的框架至关重要。然而，大多数现有的工作都基于政治两极分化采取预先确定的观点：美国政治的“右翼与左翼”二分法。事实上，政治两极分化 — — 以及更广泛的世界观 — — 都超越了一维差异，值得进行更全面的分析。扩展词嵌入模型捕获训练语料库的语义和文化特征的能力，我们提出了一种发现社区多方面意识形态和世界观特征的新方法。使用从 Reddit.com 最大社区收集的超过 1B 条评论（代表 Reddit 活动的约 40%），我们证明了这种方法在揭示多个两极分化轴上复杂的意识形态差异方面的功效。
The Internet is home to thousands of communities, each with their own unique worldview and associated ideological differences. With new communities constantly emerging and serving as ideological birthplaces, battlegrounds, and bunkers, it is critical to develop a framework for understanding worldviews and ideological distinction. Most existing work, however, takes a predetermined view based on political polarization: the “right vs. left” dichotomy of U.S. politics. In reality, both political polarization – and worldviews more broadly – transcend one-dimensional difference, and deserve a more complete analysis. Extending the ability of word embedding models to capture the semantic and cultural characteristics of their training corpora, we propose a novel method for discovering the multifaceted ideological and worldview characteristics of communities. Using over 1B comments collected from the largest communities on Reddit.com representing ~40% of Reddit activity, we demonstrate the efficacy of this approach to uncover complex ideological differences across multiple axes of polarization.