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fr_election_2022

The repository contains an ongoing collection of tweets IDs associated with the 2022 French election. This dataset spans 04/03/2022 - 05/15/2022, which covers the weeks leading up to and after the election held on 04/10/22 and 04/24/22. 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.

The associated paper to this repository can be found here: How Does Twitter Account Moderation Work? Dynamics of Account Creation and Suspension During Major Geopolitical Events

Data Organization

The Tweet-IDs are organized as follows:

  • Tweet-ID files are stored in folders that indicate the year and month of the collection (YEAR-MONTH).
  • Individual Tweet-ID files contain a collection of Tweet IDs, and the file names all follow the same structure, with a prefix “french-election-2022-” followed by the YEAR-MONTH-DATE-HOUR.
  • Note that Twitter returns Tweets in UTC, and thus all Tweet ID folders and file names are all in UTC as well.

Data Usage Agreement / How to Cite

8/18/23 Note: Arxiv Author list has not been updated to reflect the most up to date list. Please use the author list in this readme for citation purposes.

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:

Francesco Pierri, Luca Luceri, Emily Chen and Emilio Ferrara. 2022. How Does Twitter Account Moderation Work? Dynamics of Account Creation and Suspension During Major Geopolitical Events. arXiv:cs.SI/2209.07614

BibTeX:

@misc{pierri2022twitter,
      title={How Does Twitter Account Moderation Work? Dynamics of Account Creation and Suspension During Major Geopolitical Events}, 
      author={Francesco Pierri, Luca Luceri, Emily Chen and Emilio Ferrara},
      year={2022},
      eprint={2209.07614},
      archivePrefix={arXiv},
      primaryClass={cs.SI}
}