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@echen102 echen102 released this 21 Jun 23:07

2020 US Presidential Election Tweet IDs

We will be stopping regular updates of this repository on June 21, 2021. This dataset aims to capture discourse from the 2020 election cycle, and we will continue to collect and post tweet IDs through 6 months after President Biden's inauguration. Release v1.33 is our final regular update

The repository contains an ongoing collection of tweets IDs associated with the 2020 United States presidential elections, with our data collection starting on May 20, 2019. We leveraged Twitter’s streaming API to follow specified accounts and also collect in real-time tweets that mention specific keywords. To comply with Twitter’s Terms of Service, we are only publicly releasing the Tweet IDs of the collected Tweets. The data is released for non-commercial research use. We currently have a backlog of historical twitter files that we are working on pre-processing and extracting Tweet IDs from; we will be releasing both past and future data sets as the data becomes available and as we finish pre-processing the data. Thank you for your patience!

This release contains Tweet IDs collected from 12/01/19 - 6/18/21.

The associated paper to this repository can be found here: #Election2020: The First Public Twitter Dataset on the 2020 US Presidential Election

Data Usage Agreement

This dataset is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License (CC BY-NC-SA 4.0). By using this dataset, you agree to abide by the stipulations in the license, remain in compliance with Twitter’s Terms of Service, and cite the following manuscript:

Chen, E., Deb, A. & Ferrara, E. #Election2020: the first public Twitter dataset on the 2020 US Presidential election. J Comput Soc Sc (2021). https://doi.org/10.1007/s42001-021-00117-9

The published paper can be found here at the Journal of Computational Social Science.

PDF of paper can also be found here on arXiv: #Election2020: The First Public Twitter Dataset on the 2020 US Presidential Election

Statistics Summary (v1.33)

Number of Tweets : 1,603,585,911

Language breakdown of top 10 most prevalent languages :

Language ISO No. tweets % total Tweets
English en 1,418,125,435 88.43%
Undefined und 107,500,259 6.7%
Spanish es 27,964,396 1.74%
French fr 8,215,786 0.51%
Portuguese pt 8,005,599 0.5%
Japanese ja 5,203,189 0.32%
Turkish tr 4,101,342 0.26%
German de 2,521,951 0.16%
Indonesian in 2,345,165 0.15%
Italian it 2,267,250 0.14%

Known Gaps

Date Time
12/06/19 00:00 - 23:00 UTC
12/07/19 18:00 - 19:00 UTC
12/07/19 18:00 - 19:00 UTC
12/29/19 01:00 - 02:00 UTC
01/03/20 05:00 - 06:00 UTC
01/05/20 02:00 - 24:00 UTC
01/06/20 00:00 - 18:00 UTC
01/19/20 04:00 - 23:00 UTC
01/25/20 01:00 - 20:00 UTC
01/28/20 22:00 - 24:00 UTC
01/29/20 00:00 - 05:00 UTC
02/02/20 03:00 - 18:00 UTC
02/04/20 19:00 - 24:00 UTC
02/05/20 00:00 - 23:00 UTC
03/05/20 23:00 - 24:00 UTC
03/06/20 00:00 - 24:00 UTC
03/07/20 00:00 - 02:00 UTC
03/09/20 19:00 - 22:00 UTC
03/17/20 00:00 - 01:00 UTC
03/21/20 23:00 - 24:00 UTC
03/25/20 22:00 - 24:00 UTC
03/26/20 00:00 - 15:00 UTC
04/02/20 00:00 - 23:00 UTC
04/12/20 00:00 - 15:00 UTC
04/16/20 23:00 - 24:00 UTC
04/18/20 23:00 - 24:00 UTC
04/19/20 00:00 - 05:00 UTC
04/21/20 22:00 - 24:00 UTC
04/27/20 22:00 - 24:00 UTC
04/28/20 01:00 - 14:00 UTC
04/30/20 20:00 - 24:00 UTC
05/01/20 00:00 - 24:00 UTC
05/02/20 00:00 - 04:00 UTC
05/05/20 17:00 - 18:00 UTC
05/07/20 00:00 - 13:00 UTC
05/17/20 23:00 - 24:00 UTC
05/18/20 00:00 - 15:00 UTC
05/23/20 23:00 - 24:00 UTC
05/26/20 21:00 - 24:00 UTC
05/27/20 00:00 - 03:00 UTC
05/30/20 16:00 - 24:00 UTC
05/31/20 00:00 - 06:00 UTC
06/01/20 17:00 - 19:00 UTC
06/03/20 18:00 - 22:00 UTC
06/04/20 21:00 - 24:00 UTC
06/05/20 00:00 - 17:00 UTC
06/07/20 14:00 - 24:00 UTC
06/08/20 00:00 - 04:00 UTC
06/12/20 20:00 - 24:00 UTC
06/13/20 00:00 - 21:00 UTC
06/16/20 17:00 - 24:00 UTC
06/17/20 00:00 - 02:00 UTC
06/19/20 16:00 - 17:00 UTC

Inquiries

Please read through the README and the closed issues to see if your question has already been addressed first.

If you have technical questions about the data collection, please contact Emily Chen at echen920[at]usc[dot]edu.

If you have any further questions about this dataset please contact Dr. Emilio Ferrara at emiliofe[at]usc[dot]edu.

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