activity
20212026
collaborators

11 papers

cs.CL2026

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…

cs.CL2026

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…

cs.CL2026

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…

cs.CL2025

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…

cs.CL2025

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…

cs.CL2025

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…

cs.CL2025

Towards a Perspectivist Turn in Argument Quality Assessment

Julia Romberg, Maximilian Maurer, Henning Wachsmuth +1

The assessment of argument quality depends on well-established logical, rhetorical, and dialectical properties that are unavoidably subjective: multiple valid assessments may exist…

cs.CL2024

Toeing the Party Line: Election Manifestos as a Key to Understand Political Discourse on Twitter

Maximilian Maurer, Tanise Ceron, Sebastian Padó +1

Political discourse on Twitter is a moving target: politicians continuously make statements about their positions. It is therefore crucial to track their discourse on social media…

cs.CL2024

Argument Quality Assessment in the Age of Instruction-Following Large Language Models

Henning Wachsmuth, Gabriella Lapesa, Elena Cabrio +5

The computational treatment of arguments on controversial issues has been subject to extensive NLP research, due to its envisioned impact on opinion formation, decision making, wri…

cs.CL2023

Political claim identification and categorization in a multilingual setting: First experiments

Urs Zaberer, Sebastian Padó, Gabriella Lapesa

The identification and classification of political claims is an important step in the analysis of political newspaper reports; however, resources for this task are few and far betw…

cs.CL2021

Between welcome culture and border fence. A dataset on the European refugee crisis in German newspaper reports

Nico Blokker, André Blessing, Erenay Dayanik +3

Newspaper reports provide a rich source of information on the unfolding of public debate on specific policy fields that can serve as basis for inquiry in political science. Such de…