TU Berlin

Quality and Usability LabVinicius Woloszyn

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Dr. Vinicius Woloszyn


My research focuses on various aspects of empirical approaches to natural language processing, with a particular interest in mis/disinformation problems.

During my academic career, I was a visiting scholar at Grenoble Informatics Laboratory, Austrian Research Institute for Artificial Intelligence, Universität Pompeu Fabra, and Researcher at Leibniz Universität Hannover.

Currently, I'm project leader and Post-Doc Researcher at Technische Universität Berlin.



  • Multilingual Models
  • Adversarial Attacks
  • Data Augmentation
  • Greenwashing, Hate Speech, Disinformation Detection
  • Question Answering Systems
  • Named Entity Recognition


Selected Publications

  • Towards a Novel Benchmark for ClaimReviewed and ReviewRating Prediction in Fact-checking Articles, 2021
  • Untrue.News: A New Search Engine For Fake Stories, 2020.
  • An Empirical Comparison of Classification Methods for Question Answering Systems, 2020.
  • DistrustRank: Spotting False News Domains, 2018.
  • DDC-outlier: preventing medication errors using unsupervised learning, 2018
  • more: https://dblp.uni-trier.de/pid/204/3806.html


Current Projects

  • Berlin Open Science Platform (BOP)
  • Untrue.News - Search Engine For Fake Stories.


Openings / Supervision

  • Greenwashing Detection.
  • Evaluating the Quality of Automatic Fake News Detection.
  • Multilingual Named Entity Recognition For Scientific Articles.
  • Open Multilingual Knowledge Base of Fact-Checked Claims.
  • Self-Service Learning Analytics Platform for Data Science Courses.




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



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