Conference paper Open Access

Web Video Verification using Contextual Cues

Olga Papadopoulou; Markos Zampoglou; Symeon Papadopoulos; Yiannis Kompatsiaris


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  <dc:creator>Olga Papadopoulou</dc:creator>
  <dc:creator>Markos Zampoglou</dc:creator>
  <dc:creator>Symeon Papadopoulos</dc:creator>
  <dc:creator>Yiannis Kompatsiaris</dc:creator>
  <dc:date>2017-06-06</dc:date>
  <dc:description>As news agencies and the public increasingly rely on User-Generated Content, content verification is vital for news producers and consumers alike. We present a novel approach for verifying Web videos by analyzing their online context. It is based on supervised learning on contextual features: one feature set is based on an existing approach for tweet verification adapted to video comments. The other is based on video metadata, such as the video description, likes/dislikes, and uploader information.
We evaluate both on a dataset of real and fake videos from YouTube, and demonstrate their effectiveness (F-scores: 0.82, 0.79). We then explore their complementarity and show that under an optimal fusion scheme, the classifier would reach an F-score of 0.9. We finally study the performance of the classifier through time, as more comments accumulate, emulating a real-time verification setting.</dc:description>
  <dc:identifier>https://zenodo.org/record/810474</dc:identifier>
  <dc:identifier>10.1145/3078897.3080535</dc:identifier>
  <dc:identifier>oai:zenodo.org:810474</dc:identifier>
  <dc:relation>info:eu-repo/grantAgreement/EC/H2020/687786/</dc:relation>
  <dc:relation>url:https://zenodo.org/communities/invid-h2020</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>http://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>Video verification</dc:subject>
  <dc:subject>Context analysis</dc:subject>
  <dc:subject>Social media</dc:subject>
  <dc:subject>Fake news</dc:subject>
  <dc:title>Web Video Verification using Contextual Cues</dc:title>
  <dc:type>info:eu-repo/semantics/conferencePaper</dc:type>
  <dc:type>publication-conferencepaper</dc:type>
</oai_dc:dc>
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