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Détection de fausses informations dans les réseaux sociaux

Abstract : False information are multiplying and are spreading quickly on social networks. In this thesis, we analyze the publications from a multimodal point of view between the text and the associated image. Several studies were conducted during this thesis. The first compares several types of media present on social networks and aims to discriminate them automatically. The second one allows the detection and the localization of modifications in an image thanks to the comparison with an old version of this image. Finally, we focused on merged knowledge based on the predictions of other research teams to create a single system.
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Submitted on : Thursday, June 18, 2020 - 3:18:31 PM
Last modification on : Wednesday, November 3, 2021 - 8:09:53 AM


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  • HAL Id : tel-02404234, version 2


Cédric Maigrot. Détection de fausses informations dans les réseaux sociaux. Traitement du signal et de l'image [eess.SP]. Université Rennes 1, 2019. Français. ⟨NNT : 2019REN1S085⟩. ⟨tel-02404234v2⟩



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