ECHOExploratory Compendium of Humanity Online

2020 U.S. Presidential Election Tweet IDs

LimitedVery largegraphtextTwitter (X)ElectionMisinformationPolarizationPolitical communicationTime series

A twitter dataset of 295,670,111 tweet IDs from the 2020 U.S. presidential election, collected by Wrubel and Kerchner via Social Feed Manager (GWU Libraries). Each record contains tweet IDs only — full content requires hydration. Complete tweet archive from the 2020 election including post-election period and January 6 lead-up. Suitable for election discourse, misinformation, political polarization, post-election unrest.

Very large: 295.7M records. Working with all of it takes more than a laptop (tens of GB of memory or a disk-based graph database); a sample, or reading the files in a streaming way, is the usual way to start.

#January 6#Social feed manager#Tweet ids#Us election 2020

Cite this dataset at election-2020-tweets.echo.directory

Download data BibTeX JSONSimilar datasets

Analytics

Data availability: Tweet IDs — hydration required

  • Tweet IDs only — full content requires Twitter API hydration
  • Twitter Academic Research API (free tier) retired — hydration now requires paid access

295,670,111 tweet IDs from the 2020 U.S. presidential election. Retweet diffusion network available after hydration. Twitter/X API now requires paid access for hydration.

295.7M
Tweet IDs
2020 U.S. Election
Event
2020
Year
Twitter API (paid)
Hydration

Record

Catalog key
election_2020_tweets
Authors
Wrubel, Laura; Kerchner, Daniel
Year
2021
DOI / arXiv
10.7910/DVN/UCJUUZ
License
CC0 1.0 (CC0-1.0)
Records
295,670,111
Nodes are
user
Edges are
retweet / mention / reply
Text corpus
tweet text
Languages
en
Collected
2020 (2020s)
Tasks
From the graph: link prediction, community detection
Region
United States · North America (inferred: named in the description)

Provenance

Originally published at
https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/UCJUUZ unverified
Hosted copy
Mirrored on echo.directory on 2026-10-16, 5.5 GB across 46 files. Checksums in MANIFEST.json.

How to cite

BibTeX

@misc{echo2026,
  title  = {ECHO: Exploratory Compendium of Humanity Online},
  author = {Switzer, Braden and Zafarani, Reza},
  year   = {2026},
  url    = {https://echo.directory},
  note   = {Syracuse University}
}

@dataset{wrubel2021election2020,
  title     = {2020 United States Presidential Election},
  author    = {Wrubel, Laura and Kerchner, Daniel},
  year      = {2021},
  publisher = {Harvard Dataverse},
  doi       = {10.7910/DVN/UCJUUZ}
}

APA

Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory

Wrubel, L., & Kerchner, D. (2021). 2020 U.S. Presidential Election Tweet IDs [Data set]. https://doi.org/10.7910/DVN/UCJUUZ

MLA

Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.

Wrubel, Laura, and Daniel Kerchner. 2020 U.S. Presidential Election Tweet IDs. 2021, doi.org/10.7910/DVN/UCJUUZ.

BibTeX · RIS · CSL-JSON

Similar datasets 9 all with scores →