Conference paper Open Access
Olga Papadopoulou; Markos Zampoglou; Symeon Papadopoulos; Yiannis Kompatsiaris
{ "description": "<p>As news agencies and the public increasingly rely on User-Generated Content, content verification is vital for news producers and consumers alike.\u00a0We 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.<br>\nWe evaluate both on a dataset of real and fake videos from YouTube, and demonstrate their effectiveness (F-scores: 0.82, 0.79).\u00a0We 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.</p>", "license": "https://creativecommons.org/licenses/by/4.0/legalcode", "creator": [ { "affiliation": "CERTH-ITI, Thessaloniki, Greece", "@type": "Person", "name": "Olga Papadopoulou" }, { "affiliation": "CERTH-ITI, Thessaloniki, Greece", "@type": "Person", "name": "Markos Zampoglou" }, { "affiliation": "CERTH-ITI, Thessaloniki, Greece", "@type": "Person", "name": "Symeon Papadopoulos" }, { "affiliation": "CERTH-ITI, Thessaloniki, Greece", "@type": "Person", "name": "Yiannis Kompatsiaris" } ], "headline": "Web Video Verification using Contextual Cues", "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", "datePublished": "2017-06-06", "url": "https://zenodo.org/record/810474", "@type": "ScholarlyArticle", "keywords": [ "Video verification", "Context analysis", "Social media", "Fake news" ], "@context": "https://schema.org/", "identifier": "https://doi.org/10.1145/3078897.3080535", "@id": "https://doi.org/10.1145/3078897.3080535", "workFeatured": { "url": "http://mklab.iti.gr/mfsec2017/", "alternateName": "MFSec 2017 @ ICMR2017", "location": "Bucharest, Romania", "@type": "Event", "name": "ACM 2nd International Workshop on Multimedia Forensics and Security, co-located with the 2017 ACM International Conference on Multimedia Retrieval" }, "name": "Web Video Verification using Contextual Cues" }
Views | 127 |
Downloads | 131 |
Data volume | 86.1 MB |
Unique views | 123 |
Unique downloads | 126 |