Abstract

Credible evidence-based political discourse is a critical pillar of democracy and is at the core of guaranteeing free and fair elections. The study of online chatter is paramount, especially in the wake of important voting events like the recent November 3, 2020 U.S. Presidential election and the inauguration on January 21, 2021. Limited access to social media data is often the primary obstacle that limits our abilities to study and understand online political discourse. To mitigate this impediment and empower the Computational Social Science research community, we are publicly releasing a massive-scale, longitudinal dataset of U.S. politics- and election-related tweets. This multilingual dataset encompasses over 1.2 billion tweets and tracks all salient U.S. political trends, actors, and events from 2019 to the time of this writing. It predates and spans the entire period of the Republican and Democratic primaries …

Metadata

publication

Journal of Computational Social Science, 1-18, 2022

year

2022

publication date

2022/5

authors

Emily Chen, Ashok Deb, Emilio Ferrara

link

https://link.springer.com/article/10.1007/s42001-021-00117-9

resource_link

https://link.springer.com/article/10.1007/s42001-021-00117-9

journal

Journal of Computational Social Science

pages

1-18

publisher

Springer Singapore