Fusion-based multimodal detection of hoaxes in social networks

Cédric Maigrot 1 Vincent Claveau 1 Ewa Kijak 1
1 LinkMedia - Creating and exploiting explicit links between multimedia fragments
Inria Rennes – Bretagne Atlantique , IRISA_D6 - MEDIA ET INTERACTIONS
Abstract : Social networks make it possible to share information rapidly and massively. Yet, one of their major drawback comes from the absence of verification of the piece of information, especially with viral messages. This is the issue addressed by the participants to the Verification Multimedia Use task of Mediaeval 2016. They used several approaches and clues from different modalities (text, image, social information). In this paper, we explore the interest of combining and merging these approaches in order to evaluate the predictive power of each modality and to make the most of their potential complementarity.
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Communication dans un congrès
WI 2018 - Web Intelligence Chile IEEE/WIC/ACM International Conference on Web Intelligence, Dec 2018, Santiago, Chile. pp.1-8, Proceedings of WI 2018 - IEEE/WIC/ACM International Conference on Web Intelligence
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Contributeur : Vincent Claveau <>
Soumis le : mardi 27 novembre 2018 - 15:36:16
Dernière modification le : lundi 10 décembre 2018 - 12:24:45

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  • HAL Id : hal-01936720, version 1

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Cédric Maigrot, Vincent Claveau, Ewa Kijak. Fusion-based multimodal detection of hoaxes in social networks. WI 2018 - Web Intelligence Chile IEEE/WIC/ACM International Conference on Web Intelligence, Dec 2018, Santiago, Chile. pp.1-8, Proceedings of WI 2018 - IEEE/WIC/ACM International Conference on Web Intelligence. 〈hal-01936720〉

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