7 citations · 7 across the 6 of their papers we have counts for
9 papers · 1 filter
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…
Which Demographics do LLMs Default to During Annotation?
Johannes Schäfer, Aidan Combs, Christopher Bagdon +9
Demographics and cultural background of annotators influence the labels they assign in text annotation -- for instance, an elderly woman might find it offensive to read a message a…
How Entangled is Factuality and Deception in German?
Aswathy Velutharambath, Amelie Wührl, Roman Klinger
The statement "The earth is flat" is factually inaccurate, but if someone truly believes and argues in its favor, it is not deceptive. Research on deception detection and fact chec…
Can Factual Statements be Deceptive? The DeFaBel Corpus of Belief-based Deception
Aswathy Velutharambath, Amelie Wührl, Roman Klinger
If a person firmly believes in a non-factual statement, such as "The Earth is flat", and argues in its favor, there is no inherent intention to deceive. As the argumentation stems…
Understanding Fine-grained Distortions in Reports of Scientific Findings
Amelie Wührl, Dustin Wright, Roman Klinger +1
Distorted science communication harms individuals and society as it can lead to unhealthy behavior change and decrease trust in scientific institutions. Given the rapidly increasin…
What Makes Medical Claims (Un)Verifiable? Analyzing Entity and Relation Properties for Fact Verification
Amelie Wührl, Yarik Menchaca Resendiz, Lara Grimminger +1
Biomedical claim verification fails if no evidence can be discovered. In these cases, the fact-checking verdict remains unknown and the claim is unverifiable. To improve upon this,…