February 6, 2019 Dataset Open Access

Savvas Zannettou; Tristan Caulfield; William Setzer; Michael Sirivianos; Gianluca Stringhini; Jeremy Blackburn

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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.2558433", 
  "author": [
    {
      "family": "Savvas Zannettou"
    }, 
    {
      "family": "Tristan Caulfield"
    }, 
    {
      "family": "William Setzer"
    }, 
    {
      "family": "Michael Sirivianos"
    }, 
    {
      "family": "Gianluca Stringhini"
    }, 
    {
      "family": "Jeremy Blackburn"
    }
  ], 
  "issued": {
    "date-parts": [
      [
        2019, 
        2, 
        6
      ]
    ]
  }, 
  "abstract": "<p>This is the dataset used for the study &quot;Who Let The Trolls Out? Towards Understanding State-Sponsored Trolls&quot;. Savvas Zannettou, Tristan Caulfield, William Setzer, Michael Sirivianos, Gianluca Stringhini, Jeremy Blackburn. Arxiv, 2019. DOI:&nbsp;<a href=\"https://zenodo.org/record/2558560\">10.5281/zenodo.2558560</a></p>\n\n<p>The dataset consists of the data released by Twitter on October 2018 for Russian and Iranian state-sponsored troll accounts, which is available at <a href=\"https://about.twitter.com/en_us/values/elections-integrity.html?fbclid=IwAR0ytC6Q_Jawg6ao57H4oWpA4D6wROvYGqDF0E-tI9hoCIEeX4M-BvXAT9s#data\">https://about.twitter.com/en_us/values/elections-integrity.html#data</a> as well as intermediate data that we generated after processing the raw data.<br>\nFor instance, we include trained Word2Vec and LDA models, the output of our influence estimation experiments via Hawkes Processes, and a lot of other data necessary to reproduce the results in the paper.<br>\nTo use the provided data simply download the compressed file from &lt;URL&gt; and make sure that the uncompressed <code>data</code> folder is in the same directory as the IPython Notebook.</p>\n\n<p>The code used for this study can be found here:&nbsp;<a href=\"https://github.com/zsavvas/trolls_analysis\">https://github.com/zsavvas/trolls_analysis</a></p>\n\n<p>Please cite our paper if&nbsp;any publication, of any form and kind results of you using this data:</p>\n\n<pre>@article{zannettou2018let,\n  title={Who let the trolls out? towards understanding state-sponsored trolls},\n  author={Zannettou, Savvas and Caulfield, Tristan and Setzer, William and Sirivianos, Michael and Stringhini, Gianluca and Blackburn, Jeremy},\n  journal={arXiv preprint arXiv:1811.03130},\n  year={2018} \n}</pre>", 
  "title": "Dataset for \"Who Let The Trolls Out? Towards Understanding State-Sponsored Trolls\"", 
  "type": "dataset", 
  "id": "2558433"
}