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20172025
most citedHate Towards the Political Opponent: A Twitter Corpus Study of the 2020 US Elections on the Basis of Offensive Speech and Stance Detection

43 citations · 154 across the 22 of their papers we have counts for

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cs.CL2025

Categorical Emotions or Appraisals - Which Emotion Model Explains Argument Convincingness Better?

Lynn Greschner, Meike Bauer, Sabine Weber +1

The convincingness of an argument does not only depend on its structure (logos), the person who makes the argument (ethos), but also on the emotion that it causes in the recipient…

cs.CL2025

Emotionally Charged, Logically Blurred: AI-driven Emotional Framing Impairs Human Fallacy Detection

Yanran Chen, Lynn Greschner, Roman Klinger +2

Logical fallacies are common in public communication and can mislead audiences; fallacious arguments may still appear convincing despite lacking soundness, because convincingness i…

cs.CL2025

Trust Me, I Can Convince You: The Contextualized Argument Appraisal Framework

Lynn Greschner, Sabine Weber, Roman Klinger

Emotions that somebody develops based on an argument do not only depend on the argument itself - they are also influenced by a subjective evaluation of the argument's potential imp…

cs.CL2025

Disambiguation of Emotion Annotations by Contextualizing Events in Plausible Narratives

Johannes Schäfer, Roman Klinger

Ambiguity in emotion analysis stems both from potentially missing information and the subjectivity of interpreting a text. The latter did receive substantial attention, but can we…

cs.CL2025

What if Deception Cannot be Detected? A Cross-Linguistic Study on the Limits of Deception Detection from Text

Aswathy Velutharambath, Kai Sassenberg, Roman Klinger

Can deception be detected solely from written text? Cues of deceptive communication are inherently subtle, even more so in text-only communication. Yet, prior studies have reported…

cs.CL2024

Self-Adaptive Paraphrasing and Preference Learning for Improved Claim Verifiability

Amelie Wührl, Roman Klinger

In fact-checking, structure and phrasing of claims critically influence a model's ability to predict verdicts accurately. Social media content in particular rarely serves as optima…