Fact-Checked Claim Detection in Videos Using a Multimodal Approach

Frédéric Rayar

2024

Abstract

The recent advances in technology and social networks have led to a phenomenon that is so called, information disorder. Our information environment is polluted by misinformation, disinformation and fake news and at a global scale. Hence, assessing the veracity of information becomes mandatory nowadays. So far, most of the efforts in the last decades have focused on analysing textual content, scraped from blogs and social media, and trying to predict the veracity of information. However, such false information also appears in multimedia content and have a peculiar life cycle throughout time that is worth leveraging. In this paper, we present a multimodal approach for detecting claims that have already been fact-checked, from videos input. Focusing on political discourse in French language, we demonstrate the feasibility of a complete system, offline and explainable.

Paper Citation

in Harvard Style

Rayar F. (2024). Fact-Checked Claim Detection in Videos Using a Multimodal Approach. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP; ISBN 978-989-758-679-8, SciTePress, pages 614-620. DOI: 10.5220/0012545500003660

in Bibtex Style

@conference{visapp24,
author={Frédéric Rayar},
title={Fact-Checked Claim Detection in Videos Using a Multimodal Approach},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP},
year={2024},
pages={614-620},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012545500003660},
isbn={978-989-758-679-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP
TI - Fact-Checked Claim Detection in Videos Using a Multimodal Approach
SN - 978-989-758-679-8
AU - Rayar F.
PY - 2024
SP - 614
EP - 620
DO - 10.5220/0012545500003660
PB - SciTePress