Political Sectarianism during the U.S. 2020 Election: Evidence from 1 Million American Twitter Users

• In Event: Social Media Ecosystems and Their Effects Across Platforms

Brief Overview

This paper develops a supervised transformers-based multi-label deep neural network learning model that allows researchers to identify political sectarianism on social media. The model is applied to several collections of tweets.

Authors

• Haohan Chen, City University of Hong Kong

• Zhanna Terechshenko, New York University

• Patrick Y. Wu, New York University

• Jonathan Nagler, New York University

• Joshua A. Tucker, New York University

• Rich Bonneau, New York University