2 citations · 2 across the 5 of their papers we have counts for
5 papers
CoALFake: Collaborative Active Learning with Human-LLM Co-Annotation for Cross-Domain Fake News Detection
Esma Aïmeur, Gilles Brassard, Dorsaf Sallami
The proliferation of fake news across diverse domains highlights critical limitations in current detection systems, which often exhibit narrow domain specificity and poor generaliz…
What do people want to fact-check?
Bijean Ghafouri, Dorsaf Sallami, Luca Luceri +4
Research on misinformation has focused almost exclusively on supply, asking what falsehoods circulate, who produces them, and whether corrections work. A basic demand-side question…
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…
FNDEX: Fake News and Doxxing Detection with Explainable AI
Dorsaf Sallami, Esma Aïmeur
The widespread and diverse online media platforms and other internet-driven communication technologies have presented significant challenges in defining the boundaries of freedom o…
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…