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@echen102 echen102 released this 22 Feb 03:04

The repository contains an ongoing collection of tweets IDs associated with the current conflict in Ukraine and Russia, which we commenced collecting on February 22, 2022. 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.

This release contains Tweet IDs collected from 2/22/22 - 2/17/23.

Due to Twitter's changing policies around their free API, we are unsure of how this will impact academic access to the API. We will continue to collect tweets and update this repository for as long as we can.

Please refer to the README for more details regarding data, data organization and data usage agreement.

Data Usage Agreement / How to Cite

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:

Emily Chen and Emilio Ferrara. 2022. Tweets in Time of Conflict: A Public Dataset Tracking the Twitter Discourse on the War Between Ukraine and Russia. arXiv:cs.SI/2203.07488

BibTeX:

@misc{chen2022tweets,
      title={Tweets in Time of Conflict: A Public Dataset Tracking the Twitter Discourse on the War Between Ukraine and Russia}, 
      author={Emily Chen and Emilio Ferrara},
      year={2022},
      eprint={2203.07488},
      archivePrefix={arXiv},
      primaryClass={cs.SI}
}

Statistics Summary (v1.5)

Number of Tweets : 620,510,853

Language breakdown of top 10 most prevalent languages :

Language ISO No. tweets % total Tweets
English en 440,353,617 70.97%
French fr 26,249,721 4.23%
Spanish es 23,284,103 3.75%
German de 20,754,440 3.34%
Italian it 15,342,240 2.47%
Russian ru 13,520,722 2.18%
Undefined und 12,902,561 2.08%
Japanese ja 11,419,369 1.84%
Ukrainian uk 11,163,902 1.8%
Turkish tr 8,088,613 1.3%

Known Gaps

Date Time

Inquiries

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.