85 citations · 197 across the 9 of their papers we have counts for
14 papers · 1 filter
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…
Human-Machine Collaboration Approaches to Build a Dialogue Dataset for Hate Speech Countering
Helena Bonaldi, Sara Dellantonio, Serra Sinem Tekiroglu +1
Fighting online hate speech is a challenge that is usually addressed using Natural Language Processing via automatic detection and removal of hate content. Besides this approach, c…
Using Pre-Trained Language Models for Producing Counter Narratives Against Hate Speech: a Comparative Study
Serra Sinem Tekiroglu, Helena Bonaldi, Margherita Fanton +1
In this work, we present an extensive study on the use of pre-trained language models for the task of automatic Counter Narrative (CN) generation to fight online hate speech in Eng…
Multilingual Counter Narrative Type Classification
Yi-Ling Chung, Marco Guerini, Rodrigo Agerri
The growing interest in employing counter narratives for hatred intervention brings with it a focus on dataset creation and automation strategies. In this scenario, learning to rec…
Human-in-the-Loop for Data Collection: a Multi-Target Counter Narrative Dataset to Fight Online Hate Speech
Margherita Fanton, Helena Bonaldi, Serra Sinem Tekiroglu +1
Undermining the impact of hateful content with informed and non-aggressive responses, called counter narratives, has emerged as a possible solution for having healthier online comm…
Empowering NGOs in Countering Online Hate Messages
Yi-Ling Chung, Serra Sinem Tekiroglu, Sara Tonelli +1
Studies on online hate speech have mostly focused on the automated detection of harmful messages. Little attention has been devoted so far to the development of effective strategie…