Skip to Main content Skip to Navigation

Détection de fausses informations dans les réseaux sociaux

Cédric Maigrot 1, 2
2 LinkMedia - Creating and exploiting explicit links between multimedia fragments
Inria Rennes – Bretagne Atlantique , IRISA-D6 - MEDIA ET INTERACTIONS
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.
Complete list of metadata

Cited literature [111 references]  Display  Hide  Download
Contributor : Cédric Maigrot Connect in order to contact the contributor
Submitted on : Wednesday, December 11, 2019 - 11:18:33 AM
Last modification on : Tuesday, October 19, 2021 - 11:04:39 AM
Long-term archiving on: : Thursday, March 12, 2020 - 4:08:01 PM


Files produced by the author(s)


  • HAL Id : tel-02404234, version 1


Cédric Maigrot. Détection de fausses informations dans les réseaux sociaux. Informatique [cs]. Université de Rennes 1 [UR1], 2019. Français. ⟨tel-02404234v1⟩



Record views


Files downloads