9 papers
From Self to Other: Evaluating Demographic Perspective-Taking in LLM Hate Speech Annotation
Paloma Piot, Javier Parapar
Hate speech detection is inherently subjective: people from different demographic groups perceive the same content very differently. Collecting enough annotations from multiple dem…
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 MartÃn-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…
Who Is the Story About? Protagonist Entity Recognition in News
Jorge GabÃn, M. Eduardo Ares, Javier Parapar
News articles often reference numerous organizations, but traditional Named Entity Recognition (NER) treats all mentions equally, obscuring which entities genuinely drive the narra…
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…