@inproceedings{milbauer-etal-2021-aligning,
title = "Aligning Multidimensional Worldviews and Discovering Ideological Differences",
author = "Milbauer, Jeremiah and
Mathew, Adarsh and
Evans, James",
editor = "Moens, Marie-Francine and
Huang, Xuanjing and
Specia, Lucia and
Yih, Scott Wen-tau",
booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing",
month = nov,
year = "2021",
address = "Online and Punta Cana, Dominican Republic",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.emnlp-main.396/",
doi = "10.18653/v1/2021.emnlp-main.396",
pages = "4832--4845",
abstract = "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 {\textquotedblleft}right vs. left{\textquotedblright} 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 {\textasciitilde}40{\%} of Reddit activity, we demonstrate the efficacy of this approach to uncover complex ideological differences across multiple axes of polarization."
}
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<abstract>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.</abstract>
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%0 Conference Proceedings
%T Aligning Multidimensional Worldviews and Discovering Ideological Differences
%A Milbauer, Jeremiah
%A Mathew, Adarsh
%A Evans, James
%Y Moens, Marie-Francine
%Y Huang, Xuanjing
%Y Specia, Lucia
%Y Yih, Scott Wen-tau
%S Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
%D 2021
%8 November
%I Association for Computational Linguistics
%C Online and Punta Cana, Dominican Republic
%F milbauer-etal-2021-aligning
%X 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.
%R 10.18653/v1/2021.emnlp-main.396
%U https://aclanthology.org/2021.emnlp-main.396/
%U https://doi.org/10.18653/v1/2021.emnlp-main.396
%P 4832-4845
Markdown (Informal)
[Aligning Multidimensional Worldviews and Discovering Ideological Differences](https://aclanthology.org/2021.emnlp-main.396/) (Milbauer et al., EMNLP 2021)
ACL