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Verify as You Go: An LLM-Powered Browser Extension for Fake News Detection
Dorsaf Sallami, Esma Aïmeur
The rampant spread of fake news in the digital age poses serious risks to public trust and democratic institutions, underscoring the need for effective, transparent, and user-cente…
From Deception to Detection: The Dual Roles of Large Language Models in Fake News
Dorsaf Sallami, Yuan-Chen Chang, Esma Aïmeur
Fake news poses a significant threat to the integrity of information ecosystems and public trust. The advent of Large Language Models (LLMs) holds considerable promise for transfor…
ExFake: Towards an Explainable Fake News Detection Based on Content and Social Context Information
Sabrine Amri, Henri-Cedric Mputu Boleilanga, Esma Aïmeur
ExFake is an explainable fake news detection system based on content and context-level information. It is concerned with the veracity analysis of online posts based on their conten…