8 papers
Hybrid Panels: Toward Human-AI Collaboration in Survey Research
Julia Romberg, Tobias Gummer, Gabriella Lapesa +2
Large-scale population surveys are essential for generating robust social and scientific insights, yet they face significant challenges, including declining response rates, increas…
Who and What? Using Linguistic Features and Annotator Characteristics to Analyze Annotation Variation
Maximilian Maurer, Maximilian Linde, Gabriella Lapesa
Human label variation has been established as a central phenomenon in NLP: the perspectives different annotators have on the same item need to be embraced. Data collection practice…
From Emotion to Expression: Theoretical Foundations and Resources for Fear Speech
Vigneshwaran Shankaran, Gabriella Lapesa, Claudia Wagner
Few forces rival fear in their ability to mobilize societies, distort communication, and reshape collective behavior. In computational linguistics, fear is primarily studied as an…
Investigating Subjective Factors of Argument Strength: Storytelling, Emotions, and Hedging
Carlotta Quensel, Neele Falk, Gabriella Lapesa
In assessing argument strength, the notions of what makes a good argument are manifold. With the broader trend towards treating subjectivity as an asset and not a problem in NLP, n…
A Modular Taxonomy for Hate Speech Definitions and Its Impact on Zero-Shot LLM Classification Performance
Matteo Melis, Gabriella Lapesa, Dennis Assenmacher
Detecting harmful content is a crucial task in the landscape of NLP applications for Social Good, with hate speech being one of its most dangerous forms. But what do we mean by hat…
Tell Me What You Know About Sexism: Expert-LLM Interaction Strategies and Co-Created Definitions for Zero-Shot Sexism Detection
Myrthe Reuver, Indira Sen, Matteo Melis +1
This paper investigates hybrid intelligence and collaboration between researchers of sexism and Large Language Models (LLMs), with a four-component pipeline. First, nine sexism res…