Dataset Open Access

Dataset for "Who Let The Trolls Out? Towards Understanding State-Sponsored Trolls"

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


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  <identifier identifierType="DOI">10.5281/zenodo.2558433</identifier>
  <creators>
    <creator>
      <creatorName>Savvas Zannettou</creatorName>
      <affiliation>Cyprus University of Technology</affiliation>
    </creator>
    <creator>
      <creatorName>Tristan Caulfield</creatorName>
      <affiliation>University College London</affiliation>
    </creator>
    <creator>
      <creatorName>William Setzer</creatorName>
      <affiliation>University of Alabama at Birmingham</affiliation>
    </creator>
    <creator>
      <creatorName>Michael Sirivianos</creatorName>
      <affiliation>Cyprus University of Technology</affiliation>
    </creator>
    <creator>
      <creatorName>Gianluca Stringhini</creatorName>
      <affiliation>Boston University</affiliation>
    </creator>
    <creator>
      <creatorName>Jeremy Blackburn</creatorName>
      <affiliation>University of Alabama at Birmingham</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Dataset for "Who Let The Trolls Out? Towards Understanding State-Sponsored Trolls"</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <dates>
    <date dateType="Issued">2019-02-06</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/2558433</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.2558432</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This is the dataset used for the study &amp;quot;Who Let The Trolls Out? Towards Understanding State-Sponsored Trolls&amp;quot;. Savvas Zannettou, Tristan Caulfield, William Setzer, Michael Sirivianos, Gianluca Stringhini, Jeremy Blackburn. Arxiv, 2019. DOI:&amp;nbsp;&lt;a href="https://zenodo.org/record/2558560"&gt;10.5281/zenodo.2558560&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;The dataset consists of the data released by Twitter on October 2018 for Russian and Iranian state-sponsored troll accounts, which is available at &lt;a href="https://about.twitter.com/en_us/values/elections-integrity.html?fbclid=IwAR0ytC6Q_Jawg6ao57H4oWpA4D6wROvYGqDF0E-tI9hoCIEeX4M-BvXAT9s#data"&gt;https://about.twitter.com/en_us/values/elections-integrity.html#data&lt;/a&gt; as well as intermediate data that we generated after processing the raw data.&lt;br&gt;
For 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.&lt;br&gt;
To use the provided data simply download the compressed file from &amp;lt;URL&amp;gt; and make sure that the uncompressed &lt;code&gt;data&lt;/code&gt; folder is in the same directory as the IPython Notebook.&lt;/p&gt;

&lt;p&gt;The code used for this study can be found here:&amp;nbsp;&lt;a href="https://github.com/zsavvas/trolls_analysis"&gt;https://github.com/zsavvas/trolls_analysis&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Please cite our paper if&amp;nbsp;any publication, of any form and kind results of you using this data:&lt;/p&gt;

&lt;pre&gt;@article{zannettou2018let,
  title={Who let the trolls out? towards understanding state-sponsored trolls},
  author={Zannettou, Savvas and Caulfield, Tristan and Setzer, William and Sirivianos, Michael and Stringhini, Gianluca and Blackburn, Jeremy},
  journal={arXiv preprint arXiv:1811.03130},
  year={2018} 
}&lt;/pre&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/830927/">830927</awardNumber>
      <awardTitle>Cyber security cOmpeteNce fOr Research anD Innovation</awardTitle>
    </fundingReference>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/691025/">691025</awardNumber>
      <awardTitle>EnhaNcing seCurity And privacy in the Social wEb: a user centered approach for the protection of minors</awardTitle>
    </fundingReference>
  </fundingReferences>
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