Misinformation mitigation in online social networks using continual learning with graph neural networks

In today’s digital landscape, online social networks (OSNs) facilitate rapid information dissemination. However, they also serve as conduits for misinformation, leading to severe real-world consequences such as public panic, social unrest, and the erosion of institutional trust. Existing rumor influ...

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Veröffentlicht in:	Online social networks and media Jg. 50; S. 100340
Hauptverfasser:	Merini, Hichem, Hosni, Adil Imad Eddine, Beghdad Bey, Kadda, Lomonaco, Vincenzo, Podda, Marco, Baira, Islem
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.12.2025
Schlagworte:	Continual learning Graph neural network Misinformation containment Online social networks Rumor influence minimization Rumor influence minimization Misinformation containment Continual learning Graph neural network Online social networks
ISSN:	2468-6964, 2468-6964
Online-Zugang:	Volltext
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