7 papers
PartisanLens: A Multilingual Dataset of Hyperpartisan and Conspiratorial Immigration Narratives in European Media
Michele Joshua Maggini, Paloma Piot, Anxo Pérez +6
Detecting hyperpartisan narratives and Population Replacement Conspiracy Theories (PRCT) is essential to addressing the spread of misinformation. These complex narratives pose a si…
Can LLMs Evaluate What They Cannot Annotate? Revisiting LLM Reliability in Hate Speech Detection
Paloma Piot, David Otero, Patricia Martín-Rodilla +1
Hate speech spreads widely online, harming individuals and communities, making automatic detection essential for large-scale moderation, yet detecting it remains difficult. Part of…
Beyond the Explicit: A Bilingual Dataset for Dehumanization Detection in Social Media
Dennis Assenmacher, Paloma Piot, Katarina Laken +2
Digital dehumanization, although a critical issue, remains largely overlooked within the field of computational linguistics and Natural Language Processing. The prevailing approach…
Bridging Gaps in Hate Speech Detection: Meta-Collections and Benchmarks for Low-Resource Iberian Languages
Paloma Piot, José Ramom Pichel Campos, Javier Parapar
Hate speech poses a serious threat to social cohesion and individual well-being, particularly on social media, where it spreads rapidly. While research on hate speech detection has…
WATCHED: A Web AI Agent Tool for Combating Hate Speech by Expanding Data
Paloma Piot, Diego Sánchez, Javier Parapar
Online harms are a growing problem in digital spaces, putting user safety at risk and reducing trust in social media platforms. One of the most persistent forms of harm is hate spe…
Personalisation or Prejudice? Addressing Geographic Bias in Hate Speech Detection using Debias Tuning in Large Language Models
Paloma Piot, Patricia Martín-Rodilla, Javier Parapar
Commercial Large Language Models (LLMs) have recently incorporated memory features to deliver personalised responses. This memory retains details such as user demographics and indi…