NLP for Counterspeech Against Hate and Misinformation

This tutorial explores the use of counterspeech by individuals, activists, and organizations to combat abuse and misinformation, and how Natural Language Processing (NLP) and Natural Language Generation (NLG) can be used to automate it. It examines key challenges such as evaluating the effectiveness of counterspeech, integrating civil society expertise in dataset creation, and addressing fairness and bias in language models. The tutorial brings together insights from computer science, social sciences, and public policy through case studies, and highlights the emerging research challenge of addressing hate and misinformation together using NLP techniques.