Veronika Solopova (BMBF Project, PhD candidate FU Berlin)


Address: Arnimalle 7, 14195, Berlin, Room 115

Office hours: by appointment

After studying linguistics at the National I.I.Mechnikov University of Odesa in Ukraine and the University of Granada in Spain, Solopova specialized in natural language processing with a master's degree at the University of Sorbonne Nouvelle. This was followed by a visiting fellowship at the University of Potsdam in Manfred Stede's discourse processing lab. In 2020, Solopova began her PhD at Freie Universität Berlin; she is now close to completing her degree. During her PhD, she worked in the Petrakip project on an application for student teachers with automated feedback on their reflective essays. Solopova has also authored a number of publications on social media moderation and analysis, on topics such as hate speech, propaganda, and shitstorm detection.

Solopova has received the Erasmus + Special Non-EU scholarship, the Campus France French Embassy Scholarship, and the Elsa von Neumann FU Berlin Scholarship.

She has worked for three years as a teaching assistant in the courses Ethics and Epistemology of AI, Software Development Projects, and Machine Learning at FU Berlin, and has given workshops and consultations on Large Language Models, especially for non-technical audiences.

More information can be found on her LinkedIn website.


  • Berfin, A, Solopova V., Kohnert A., and Stede M., 2020. Adapting Coreference
    Resolution to Twitter Conversations. In Findings of the Association for Computational Linguistics: EMNLP 2020, pages 2454–2460, ACL. DOI:
  • Solopova, V., Scheffler, T. and Popa-Wyatt, M., 2021. A Telegram Corpus for Hate
    Speech, Offensive Language, and Online Harm. Journal of Open Humanities Data, 7, p.9. DOI:
  • Scheffler, T., Solopova, V. and Popa-Wyatt, M., 2021. The Telegram Chronicles of
    Online Harm. Journal of Open Humanities Data, 7, p.8. DOI: johd.31
  • Solopova, V. et al., 2021. A German Corpus of Reflective Sentences, in Proceedings of
    the 18th International Conference on Natural Language Processing (ICON). National Institute of Technology Silchar, Silchar, India: NLP Association of India (NLPAI), pp. 593–600. Available at:
  • Schmitt, V., Solopova, V., Woloszyn, V., Pinhal, J.d.J.d.P., 2021. Implications of the New Regulation Proposed by the European Commission on Automatic Content Moderation. Proc. 2021 ISCA Symposium on Security and Privacy in Speech Communication, 47-51, DOI: 10.21437/SPSC.2021-10.
  • Scheffler, T., Solopova, V., Zolotarenko, O., Razno, M., 2022. Automated Identification
    of Discourse Connectives in Ukrainian. In: Information and Communication Technologies in Education, Research, and Industrial Applications. ICTERI 2021. Communications in Computer and Information Science, vol 1698. Springer, Cham.
  • Scheffler, T., Solopova, V., Zolotarenko, O., Razno, M., 2022. A Computational Lexicon
    of Ukrainian Discourse Connectives. In: , et al. ICTERI 2021 Workshops. ICTERI 2021.
    Communications in Computer and Information Science, vol 1635. Springer, Cham. DOI:
  • Scheffler, T., Solopova, V. and Popa-Wyatt, M., 2022. Verbreitungsmechanismen
    schädigender Sprache im Netz: Anatomie zweier Shitstorms. Hassrede, Shitstorm und
    Darstellungspolitiken virtueller Affekt Workshop. Pre-print.
  • Solopova, V. et al. 2023a. Automated Multilingual Detection of Pro-Kremlin Propaganda in Newspapers and Telegram Posts. Datenbank Spektrum. DOI:
  • Solopova, V. et al. 2023b. The Evolution of Pro-Kremlin Propaganda From a Machine
    Learning and Linguistics Perspective. In Proceedings of UNLP), pages 40–48, Dubrovnik, Croatia. Association for Computational Linguistics. EACL Workshops. Available at:
  • Solopova, V. et al. (2023). PapagAI: Automated Feedback for Reflective Essays. In: Seipel, D., Steen, A. (eds) KI 2023: Advances in Artificial Intelligence. KI 2023. Lecture Notes in Computer Science(), vol 14236. Springer, Cham. DOI:
  • Solopova, V. (8 2023). Automated Content Moderation Using Transparent Solutions and Linguistic Expertise. In E. Elkind (Ed.), Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI-23 (pp. 7097–7098).