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

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.

Mots clés: Image analysis; Source credibility; Knowledge fusion; Text analysis; Index Terms-Hoax detection

Domaines: Recherche d'information [cs.IR]; Informatique et langage [cs.CL]; Intelligence artificielle [cs.AI]; Vision par ordinateur et reconnaissance de formes [cs.CV]

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. ⟨hal-01936720⟩