2 citations · 2 across the 8 of their papers we have counts for
9 papers
Benchmarking Argumentative Behaviour of LLMs: A Study of Defences Against Character Attacks
Ewelina Gajewska, Katarzyna Budzynska, Jaroslaw Chudziak
Large Language Models (LLMs) are increasingly deployed as argumentative agents in persuasive dialogues, necessitating rigorous evaluation of their debating competence relative to h…
How Ethos and Pathos Appeals Resonate in Reader Interpretations of Social Media Messages
Ewelina Gajewska, Katarzyna Budzynska, Jaroslaw Chudziak +1
Rhetorical strategies and their influence on audiences are often studied through social media posts and comments. However, this focus overlooks the universal audience, which is the…
Who Decides What Is Harmful? Content Moderation Policy Through A Multi-Agent Personalised Inference Framework
Ewelina Gajewska, Michal Wawer, Katarzyna Budzynska +1
The increasing scale and complexity of online platforms raises critical policy questions around harmful content, digital well-being, and user autonomy. Traditional content moderati…
A Natural Language Agentic Approach to Study Affective Polarization
Stephanie Anneris Malvicini, Ewelina Gajewska, Arda Derbent +3
Affective polarization has been central to political and social studies, with growing focus on social media, where partisan divisions are often exacerbated. Real-world studies tend…
Improving Implicit Hate Speech Detection via a Community-Driven Multi-Agent Framework
Ewelina Gajewska, Katarzyna Budzynska, Jarosław A Chudziak
This work proposes a contextualised detection framework for implicitly hateful speech, implemented as a multi-agent system comprising a central Moderator Agent and dynamically cons…
An Explanation-oriented Inquiry Dialogue Game for Expert Collaborative Recommendations
Qurat-ul-ain Shaheen, Katarzyna Budzynska, Carles Sierra
This work presents a requirement analysis for collaborative dialogues among medical experts and an inquiry dialogue game based on this analysis for incorporating explainability int…
Algorithmic Fairness in NLP: Persona-Infused LLMs for Human-Centric Hate Speech Detection
Ewelina Gajewska, Arda Derbent, Jaroslaw A Chudziak +1
In this paper, we investigate how personalising Large Language Models (Persona-LLMs) with annotator personas affects their sensitivity to hate speech, particularly regarding biases…
Leveraging a Multi-Agent LLM-Based System to Educate Teachers in Hate Incidents Management
Ewelina Gajewska, Michal Wawer, Katarzyna Budzynska +1
Computer-aided teacher training is a state-of-the-art method designed to enhance teachers' professional skills effectively while minimising concerns related to costs, time constrai…
Predicting the winner of the US 2024 elections using trust analytics
Katarzyna Budzynska, Ewelina Gajewska
A number of models and techniques has been proposed for predicting the outcomes of presidential elections. Some of them use information on the socio-economical status of a country,…