Papers by Charlott Jakob
Fine-tuning with Hierarchical Prompting for Robust Propaganda Classification Across Annotation Schemas (2026.findings-acl)
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Lukas Stähelin, Veronika Solopova, Max Upravitelev, David Kaplan, Premtim Sahitaj, Ariana Sahitaj, Charlott Jakob, Sebastian Möller, Vera Schmitt
| Challenge: | Propaganda detection in social media is challenging due to noisy, short texts and low annotation agreements. |
| Approach: | They propose a new intent-focused taxonomy of propaganda techniques and compare it against an established, higher-agreement schema. |
| Outcome: | The proposed taxonomy outperforms existing models and reveals methodological differences hidden in base models. |
PolBiX: Detecting LLMs’ Political Bias in Fact-Checking through X-phemisms (2025.findings-emnlp)
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| Challenge: | a few models show tendencies of political bias, but this is not mitigated by explicitly calling for objectivism in prompts. |
| Approach: | They investigate political bias by exchanging words with euphemisms or dysphemismas in German claims. |
| Outcome: | The proposed model shows that political bias influences truthfulness assessment more than political leaning . |