4534217
doi
10.5281/zenodo.4534217
oai:zenodo.org:4534217
user-eu
Antonis Papasavva
Cyprus University of Technology
Savvas Zannettou
Max-Planck-Institut fu ̈r Informatik
Jeremy Blackburn
Binghamton University
Nicolas Kourtellis
Telefonica Research
Ilias Leontiadis
Telefonica Research
Gianluca Stringhini
Boston University
Michael Sirivianos
Cyprus University of Technology
Software for: "Disturbed YouTube For Kids: Characterizing And Detecting Inappropriate Videos Targeting Young Children"
Kostantinos Papadamou
Cyprus University of Technology
doi:10.5281/zenodo.3739061
doi:10.5281/zenodo.3632781
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
YouTube
YouTube Videos Detection
Deep Learning
Disturbing Videos Classifier
Toddler-oriented Disturbing Videos
ElsaGate
<p>In this repository we include a package with the latest version of the deep learning model implemented in this work which can be used by anyone who wants to detect inappropriate videos for kids on YouTube.<br>
(see <a href="https://ojs.aaai.org/index.php/ICWSM/article/view/7320/7174">https://ojs.aaai.org/index.php/ICWSM/article/view/7320/7174</a> for the detailed description on the results).</p>
<p>Codebase also available on <a href="https://github.com/kwstantinos-papadamou/disturbed-youtube-for-kids-classifier">Github</a>.</p>
<p>Please appropriately cite the "Disturbed YouTube For Kids: Characterizing And Detecting Inappropriate Videos Targeting Young Children" paper in any publication, of any form and kind, using this software: </p>
<pre><code>@inproceedings{papadamou2020disturbedyoutube,
title= {{Disturbed YouTube for Kids: Characterizing and Detecting Inappropriate Videos Targeting Young Children}},
author={Papadamou, Kostantinos and Papasavva, Antonis and Zannettou, Savvas and Blackburn, Jeremy and Kourtellis, Nicolas and Leontiadis, Ilias and Stringhini, Gianluca and Sirivianos, Michael},
booktitle={14th International AAAI Conference on Web and Social Media},
year={2020},
organization={AAAI}
}</code></pre>
Acknowledgments: This project has received funding from the European Union's Horizon 2020 Research and Innovation program under the Marie Skłodowska-Curie ENCASE project (Grant Agreement No. 691025) and from the National Science Foundation under grant CNS-1942610.
Zenodo
2019-02-06
info:eu-repo/semantics/other
4534216
user-eu
award_title=EnhaNcing seCurity And privacy in the Social wEb: a user centered approach for the protection of minors; award_number=691025; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/691025; funder_id=00k4n6c32; funder_name=European Commission;
1614245160.350659
22192531
md5:7aba7fa26de8fae3deb2b9ae6eea392e
https://zenodo.org/records/4534217/files/disturbed-youtube-for-kids-classifier-master.zip
public
10.5281/zenodo.3739061
Is supplement to
doi
10.5281/zenodo.3632781
Is supplemented by
doi
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isVersionOf
doi