Dataset Open Access
Savvas Zannettou; Tristan Caulfield; William Setzer; Michael Sirivianos; Gianluca Stringhini; Jeremy Blackburn
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Towards Understanding State-Sponsored Trolls"</dct:title> <dct:publisher> <foaf:Agent> <foaf:name>Zenodo</foaf:name> </foaf:Agent> </dct:publisher> <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2019</dct:issued> <frapo:isFundedBy rdf:resource="info:eu-repo/grantAgreement/EC/H2020/830927/"/> <schema:funder> <foaf:Organization> <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">10.13039/100010661</dct:identifier> <foaf:name>European Commission</foaf:name> </foaf:Organization> </schema:funder> <frapo:isFundedBy rdf:resource="info:eu-repo/grantAgreement/EC/H2020/691025/"/> <schema:funder> <foaf:Organization> <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">10.13039/100010661</dct:identifier> <foaf:name>European Commission</foaf:name> </foaf:Organization> </schema:funder> <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2019-02-06</dct:issued> <owl:sameAs rdf:resource="https://zenodo.org/record/2558433"/> <adms:identifier> <adms:Identifier> <skos:notation rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://zenodo.org/record/2558433</skos:notation> <adms:schemeAgency>url</adms:schemeAgency> </adms:Identifier> </adms:identifier> <dct:isVersionOf rdf:resource="https://doi.org/10.5281/zenodo.2558432"/> <dct:description><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> <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> 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.<br> To 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> <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> <p>Please cite our paper if&nbsp;any publication, of any form and kind results of you using this data:</p> <pre>@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} }</pre></dct:description> <dct:accessRights rdf:resource="http://publications.europa.eu/resource/authority/access-right/PUBLIC"/> <dct:accessRights> <dct:RightsStatement rdf:about="info:eu-repo/semantics/openAccess"> <rdfs:label>Open Access</rdfs:label> </dct:RightsStatement> </dct:accessRights> <dcat:distribution> <dcat:Distribution> <dct:license rdf:resource="https://creativecommons.org/licenses/by/4.0/legalcode"/> <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.2558433"/> </dcat:Distribution> </dcat:distribution> <dcat:distribution> <dcat:Distribution> <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.2558433"/> <dcat:byteSize>1728252388</dcat:byteSize> <dcat:downloadURL rdf:resource="https://zenodo.org/record/2558433/files/data.zip"/> <dcat:mediaType>application/zip</dcat:mediaType> </dcat:Distribution> </dcat:distribution> </rdf:Description> <foaf:Project rdf:about="info:eu-repo/grantAgreement/EC/H2020/830927/"> <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">830927</dct:identifier> <dct:title>Cyber security cOmpeteNce fOr Research anD Innovation</dct:title> <frapo:isAwardedBy> <foaf:Organization> <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">10.13039/100010661</dct:identifier> <foaf:name>European Commission</foaf:name> </foaf:Organization> </frapo:isAwardedBy> </foaf:Project> <foaf:Project rdf:about="info:eu-repo/grantAgreement/EC/H2020/691025/"> <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">691025</dct:identifier> <dct:title>EnhaNcing seCurity And privacy in the Social wEb: a user centered approach for the protection of minors</dct:title> <frapo:isAwardedBy> <foaf:Organization> <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">10.13039/100010661</dct:identifier> <foaf:name>European Commission</foaf:name> </foaf:Organization> </frapo:isAwardedBy> </foaf:Project> </rdf:RDF>
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