Dataset Open Access

InVID Fake Video Corpus 2018

Olga Papadopoulou; Markos Zampoglou; Symeon Papadopoulos; Ioannis Kompatsiaris


DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="DOI">10.5281/zenodo.2535479</identifier>
  <creators>
    <creator>
      <creatorName>Olga Papadopoulou</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-0498-7506</nameIdentifier>
      <affiliation>CERTH-ITI</affiliation>
    </creator>
    <creator>
      <creatorName>Markos Zampoglou</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-7296-5942</nameIdentifier>
      <affiliation>CERTH-ITI</affiliation>
    </creator>
    <creator>
      <creatorName>Symeon Papadopoulos</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-5441-7341</nameIdentifier>
      <affiliation>CERTH-ITI</affiliation>
    </creator>
    <creator>
      <creatorName>Ioannis Kompatsiaris</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-6447-9020</nameIdentifier>
      <affiliation>CERTH-ITI</affiliation>
    </creator>
  </creators>
  <titles>
    <title>InVID Fake Video Corpus 2018</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2018</publicationYear>
  <subjects>
    <subject>Fake video corpus</subject>
    <subject>Disinformation</subject>
    <subject>Video forgeries</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2018-10-04</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/2535479</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.2535478</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/invid-h2020</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://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;The InVID TV Fake Video Corpus was developed in the context of the InVID project&amp;nbsp;with the aim of gaining a perspective of the types of fake video that can be&amp;nbsp;encountered in the real world. This third version of the dataset, published near the end of the project, has been extended to include 200 fake videos and 180 real ones. Furthermore, using crawling and near-duplicate retrieval, a large number of near-duplicates of each fake and real video have been collected, leading to a total of 3957 videos annotated as fake and 2458 annotated as real. The videos are temporally ordered in cascades and accompanied by their metadata. As we do not own the rights to the videos,&amp;nbsp;the dataset only contains the video URLs and annotations.&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&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/H2020/687786/">687786</awardNumber>
      <awardTitle>In Video Veritas – Verification of Social Media Video Content for the News Industry</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
152
33
views
downloads
All versions This version
Views 152152
Downloads 3333
Data volume 5.0 MB5.0 MB
Unique views 142142
Unique downloads 3333

Share

Cite as