Published May 7, 2022 | Version 1
Dataset Open

Public Dataset for "Did State-sponsored Trolls Shape the 2016 US Presidential Election Discourse? Quantifying Influence on Twitter"

  • 1. Cyprus University of Technology
  • 2. University of Canberra

Description

Dataset for the "Did State-sponsored Trolls Shape the 2016 US Presidential Election Discourse? Quantifying Influence on Twitter" paper. 

The full text of the paper can be found here.

The folder "Tweet_IDs" contains the complete list of the 152,514,929 tweet IDs (together with their timestamps) which we used for the analysis in the study: "Did State-sponsored Trolls Shape the 2016 US Presidential Election Discourse? Quantifying Influence on Twitter"

by Nikos Salamanos, Michael J. Jensen, Costas Iordanou and Michael Sirivianos

We have split the tweets into separate .zip files based on the date listed in their timestamps.

The crawling took place from September 21 to November 7, 2016 (47 days; we did not collect data on 02/10/2016).

Each "tweet_day_X.zip" file contains the file "tweet_day_X.csv", where X in [1,2,...,47]. For instance, the file "tweets_day_1.zip" contains the tweets of the 1st day: 09/21/2016.

Please cite the paper in any published work that uses any of these resources. 

@misc{nikos_salamanos_2021_4699959,
  author       = {Nikos Salamanos and
                  Michael J. Jensen and
                  Costas Iordanou and
                  Michael Sirivianos},
  title        = {{Did State-sponsored Trolls Shape the 2016 US 
                   Presidential Election Discourse? Quantifying
                   Influence on Twitter}},
  month        = apr,
  year         = 2021,
  publisher    = {Zenodo},
  version      = 3,
  doi          = {10.5281/zenodo.4699959},
  url          = {https://doi.org/10.5281/zenodo.4699959}
}

Files

US_Election_2016.zip

Files (1.1 GB)

Name Size Download all
md5:9217e242750c278d0d2b9d9f8beb1d95
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Additional details

Funding

European Commission
CONCORDIA – Cyber security cOmpeteNCe fOr Research anD InnovAtion 830927
European Commission
INCOGNITO – IdeNtity verifiCatiOn with privacy-preservinG credeNtIals for anonymous access To Online services 824015