Quality and Usability

Vera Schmitt


Vera Schmitt completed her undergraduate studies in Politics and Public Administration (B.A.) at the University of Konstanz. During this time, she developed a keen interest in statistics and co-founded CorrelAid, a non-profit community of data science enthusiasts. Afterward, she pursued her passion for data science by enrolling in a Master's program in Data Science at Leuphana University in Lüneburg. As a member of the ChangemakerXchange she actively contributed to projects of CorrelAid in various countries, including Malaysia, Japan, and Singapore. In 2019, Vera successfully defended her Master's thesis titled "The Ethical Dimension of Autonomous Machines: An Algorithmic Analysis of Artificial Moral Agents." Following this, she started a Ph.D. at the Q&U Labe at the TU Berlin, concerning the topic of economic aspects of privacy. Throughout her time at the Q&U Lab, Vera explored diverse areas of interest, where she focuses mainly on disinformation detection, Human-Computer Interaction (HCI), and ethical and legal considerations concerning machine learning and AI systems. Her dedication to advancing the responsible and ethical application of AI has been evident in her work and research.


Current Projects:

Past Projects: 

Research Topics: 


  • Claim extraction and claim verification 
  • Provenance analysis of disinformation 
  • Detection of disinformation campaigns 
  • Disinformation detection in text (and images) 
  • Green claim detection (wrt. SDGs) 


  • Design of intelligent decision-support systems for collaborative disinformation detection 
  • Design and integration of human meaningful AI explanations (for different user groups - experts vs lay people)
  • Design and implementation of various transparency aspects for trustworthy AI-systems 

Ethical and Legal Aspects of LLMs: 

  • Implication of the AI Act on development and use of LLM-based services
  • Ethically aligned user interface design for collaborative disinformation detection 
  • Moral autonomous agents: consequentialism vs deontology 

Usable Privacy:

  • Economic perspective of privacy and influencing factors 
  • Influence of information type on willingness to pay or accept money in exchange for personal data 
  • Educational aspects of usable privacy - how to nudge users towards a more privacy friendly behavior 


  • Generating synthetic data for medical records (also time-series data) 
  • Evaluation of synthetic datasets based on privacy aspects and data quality 


  • Usable Privacy Seminar (winter semester)
  • Statistic Seminar (winter semester) 
  • Ethics of AI Seminar (summer semester)
  • Advanced Study Projects (different projects for various topics) 


Quality and Usability Lab
Deutsche Telekom Laboratories
TU Berlin
Ernst-Reuter-Platz 7
D-10587 Berlin, Germany




Personal website:

Guest researcher:
Speech and Language Technology Group (SLT), German Research Center for Artificial Intelligence




Mohtaj, Salar; Schmitt, Vera; Möller, Sebastian
A Feature Extraction based Model for Hate Speech Identification
Proc. FIRE 2021 - Hate Speech and offensive content detection (HASOC) TrackausFIRE 2021 - Hate Speech and offensive content detection (HASOC) Track, Seite 47–51
Herausgeber: arXiv, Lous Tourils, France
Januar 2022


Schmitt, Vera; Solopova, Veronika; Woloszyn, Vinicius; Pinho Pinhal, Jessica
Implications of the New Regulation Proposed by the European Commission on Automatic Content Moderation
Proc. 2021 ISCA Symposium on Security and Privacy in Speech CommunicationausISCA Symposium on Security and Privacy in Speech Communication 2021, Seite 47–51
Herausgeber: ISCA, Lous Tourils, France
November 2021
Woloszyn, Vinicius; Cortes, Eduardo G; Amantea, Rafael; Schmitt, Vera; Barone, Dante AC; Möller, Sebastian
Towards a Novel Benchmark for Automatic Generation of ClaimReview Markup
13th ACM Web Science Conference 2021ausWeb Science, Seite 29–35
Herausgeber: Association for Computing Machinery, New York, NY, United States
Juni 2021
Schmitt, Vera; Poikela, Maija; Möller, Sebastian
Willingness to Pay for the Protection of Different Data Types
Mensch und Computer 2021 - WorkshopbandausMensch und Computer 2021, Seite 29–35
Herausgeber: Wienrich, C., Wintersberger, P. & Weyers, B. (Hrsg.), Bonn
Juni 2021
Woloszyn, Vinicius; Kobti, Joseph; Schmitt, Vera
Towards Automatic Green Claim Detection
Forum for Information Retrieval EvaluationausFIRE 2021, Seite 28–34
Herausgeber: Association for Computing Machinery, New York, NY, USA