Corpus ID: 222124836

#Election2020: The First Public Twitter Dataset on the 2020 US Presidential Election

@article{Chen2020Election2020TF,
  title={#Election2020: The First Public Twitter Dataset on the 2020 US Presidential Election},
  author={Emily Chen and A. Deb and Emilio Ferrara},
  journal={ArXiv},
  year={2020},
  volume={abs/2010.00600}
}

Emily Chen, A. Deb, Emilio Ferrara

Published 2020

Political Science, Computer Science

ArXiv

The integrity of democratic political discourse is at the core to guarantee free and fair elections. With social media often dictating the tones and trends of politics-related discussion, it is of paramount important to be able to study online chatter, especially in the run up to important voting events, like in the case of the upcoming November 3, 2020 U.S. Presidential Election. Limited access to social media data is often the first barrier to impede, hinder, or slow down progress, and… CONTINUE READING

View PDF on arXiv

Save to Library

Create Alert

Cite

Launch Research Feed