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cs.CL2024
Face the Facts! Evaluating RAG-based Pipelines for Professional Fact-Checking
Daniel Russo, Stefano Menini, Jacopo Staiano +1
Natural Language Processing and Generation systems have recently shown the potential to complement and streamline the costly and time-consuming job of professional fact-checkers. I…
cs.CL2023
Countering Misinformation via Emotional Response Generation
Daniel Russo, Shane Peter Kaszefski-Yaschuk, Jacopo Staiano +1
The proliferation of misinformation on social media platforms (SMPs) poses a significant danger to public health, social cohesion and ultimately democracy. Previous research has sh…
cs.CL2023
Benchmarking the Generation of Fact Checking Explanations
Daniel Russo, Serra Sinem Tekiroglu, Marco Guerini
Fighting misinformation is a challenging, yet crucial, task. Despite the growing number of experts being involved in manual fact-checking, this activity is time-consuming and canno…