Selected Publications
Explainability
Multilingual Datasets for Custom Input Extraction and Explanation Requests Parsing in Conversational XAI Systems
Wang, Qianli, Tatiana Anikina, Nils Feldhus, Simon Ostermann, Fedor Splitt, Jiaao Li, Yoana Tsoneva, Sebastian Möller,and Vera Schmitt (2025). Accepted at EMNLP
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Truth or Twist? Optimal Model Selection for Reliable Label Flipping Evaluation in LLM-based Counterfactuals
Qianli Wang, Tatiana Anikina, Nils Feldhus, Simon Ostermann, Sebastian Möller, and Vera Schmitt (2025). Accepted at INLG
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FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation
Qianli Wang, Tatiana Anikina, Nils Feldhus, Simon Ostermann, Sebastian Möller, Vera Schmitt (2025). ACL 2025
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Cross-Refine: Improving Natural Language Explanation Generation by Learning in Tandem
Qianli Wang, Tatiana Anikina, Nils Feldhus, Simon Ostermann, Sebastian Möller, and Vera Schmitt (2024). COLING. 2024
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The Role of Explainability in Collaborative Human-AI Disinformation Detection
Vera Schmitt, Luis-Felipe Villa-Arenas, Nils Feldhus, Joachim Meyer, Robert P. Spang, and Sebastian Möller (2024). In Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency (FAccT '24). Association for Computing Machinery, New York, NY, USA, 2157–2174.
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NLP
PolBiX: Detecting LLMs' Political Bias in Fact-Checking through X-phemisms
Jakob, Charlott, David Harbecke, Patrick Parschan, Pia Wenzel, and Vera Schmitt (2025). Accepted at EMNLP
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Exploring semantic filtering heuristics for efficient claim verification
Upravitelev, Max, Premtim Sahitaj, Arthur Hilbert, Veronika Solopova, Jing Yang, Nils Feldhus, Tatiana Anikina, Simon Ostermann, and Vera Schmitt (2025). FEVER Workshop ACL.
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Comparing LLMs and BERT-based classifiers for resource-sensitive claim verification in social media
Upravitelev, Max, Nicolau Duran-Silva, Christian Woerle, Giuseppe Guarino, Salar Mohtaj, Jing Yang, Veronika Solopova, and Vera Schmitt (2025). SDP Workshop ACL.
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Towards a Novel Benchmark for Automatic Generation of ClaimReview Markup
Vinicius Woloszyn, Eduardo G. Cortes, Rafael Amantea, Vera Schmitt, Dante A. C. Barone, and Sebastian Möller (2021). In Proceedings of the 13th ACM Web Science Conference 2021 (WebSci '21).
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NewsPolyML: Multi-lingual European News Fake Assessment Dataset
Salar Mohtaj, Ata Nizamoglu, Premtim Sahitaj, Charlott Jakob, Vera Schmitt and Sebastian Möller (2024). In Proceedings of the 3rd ACM International Workshop on Multimedia AI against Disinformation (MAD '24).
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Legal Analysis
Implications of Regulations on Large Generative AI Models in the Super-Election Year and the Impact on Disinformation
Vera Schmitt, Jakob Tesch, Eva Lopez, Tim Polzehl, Aljoscha Burchardt, Konstanze Neumann, Salar Mohtaj, and Sebastian Möller (2024). In Proceedings of the Workshop on Legal and Ethical Issues in Human Language Technologies @LREC-COLING 2024, pages 28–38, Torino, Italia. ELRA and ICCL.
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Is Your Surveillance Camera App Watching You? A Privacy Analysis
Vera Schmitt, James Nicholson, and Sebastian Möller (2023). In: Intelligent Computing. SAI 2023. Lecture Notes in Networks and Systems, vol 739. Springer, Cham.
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Implications of the New Regulation Proposed by the European Commission on Automatic Content Moderation
Vera Schmitt, Veroniak Solopova, Vinicius Woloszyn, and Jessica J. de Pino Pinhal (2021). In Proceedings of the ISCA Symposium on Security and Privacy in Speech Communication, 47-51.
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Usable Privacy
Privacy-Aware Decision Making: The Effect of Privacy Nudges on Privacy Awareness and the Monetary Assessment of Personal Information.
Vera Schmitt, James Nicholson, and Sebastian Möller (2024). International Journal of Advanced Computer Science and Applications (IJACSA), 15(3), 2024.
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What is Your Location Privacy Worth? Monetary Valuation of Different Location Types and Privacy Influencing Factors
Vera Schmitt, Zhenni Li, Maija Poikela, Robert P. Spang, and Sebastian Möller (2023). In Proceedings of the 16th ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec '23). Association for Computing Machinery, New York, NY, USA, 19–29.
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Dissertation: Monetary Valuation of Privacy: Analyzing the Consistency of Valuation Methods and Their Influencing Factors
Vera Schmitt (2024). Will be published with Springer in early 2025, and has been published with the TU Berlin library (see link below).
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Full list of papers can be accessed through my Google Scholar profile.