most citedAn Explanation-oriented Inquiry Dialogue Game for Expert Collaborative Recommendations

2 citations · 2 across the 5 of their papers we have counts for

collaborators

8 papers

cs.CL2026

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…

cs.MA20262 cited

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…

cs.CY2026

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…

cs.AI2026

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…

cs.CL2026

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…

cs.CL2025

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…