Anna Maria Planitzer, BA MA
Universitätsassistentin (Prae-Doc)
Main Research Areas
- Political Communication
- (Automated) Content Moderation
- „Responsible“ Algorithms & AI
- User Agency & User Effects
Anna Maria Planitzer (she/her) is a Ph.D. candidate at the Political Communication (PolCom) Research Group at the University of Vienna, supervised by Univ.-Prof. Dr. Sophie Lecheler (Professor of Political Communication, University of Vienna) and Ass.-Prof. Dr. Svenja Schäfer, MA (Wageningen University & Research, Netherlands).
In her cumulative dissertation project, Anna Maria Planitzer focuses on Automated Content Moderation and “Responsible“ Algorithms and AI, as well as its attitudinal, behavioral and emotional effects on users. She is also a research associate at the Transparent Automated Content Moderation (TACo) Project, led by Univ.-Prof. Dr. Sophie Lecheler and Univ. Prof. Dr. Allan Hanbury (Professor of Data Intelligence, TU Wien), as well as a representative for the Young Scholars Network on the management team of the Political Communication Section of the European Communication Research and Education Association (ECREA).
Prior to her predoctoral employment, Anna Maria Planitzer worked as a research and teaching assistant (Bachelor and Master level) to Univ.-Prof. Dr. Sophie Lecheler and the Political Communication Research Group, as well as a teaching assistant (Master level) to external lecturers at the Department of International Development Studies at the University of Vienna. She further completed a Bachelor and Master Degree in Communication Science, and is studying towards a second Master qualification in International Development Studies at the University of Vienna. Additionally, she has also worked in social management in different European countries.
Publications
2025
Schäfer, S., & Planitzer, A. M. (2025). User Comments. In A. Nai, M. Grömping, & D. Wirz (Eds.), Elgar Encyclopedia of Political Communication Edward Elgar Publishing. https://doi.org/10.4337/9781035301447.vol3.00155
Pachinger, P., Goldzycher, J., Planitzer, A. M., Neidhardt, J., & Hanbury, A. (2025). A disaggregated dataset on English offensiveness containing spans. In Proceedings of the 4th Workshop on Perspectivist Approaches to NLP. Association for Computational Linguistics https://doi.org/10.18653/v1/2025.nlperspectives-1.1
2024
Schäfer, S., Rebasso, I., Boyer, M. M., & Planitzer, A. M. (2024). Can We Counteract Hate? Effects of Online Hate Speech and Counter Speech on the Perception of Social Groups. Communication Research (CR), 51(5), 553-579. https://doi.org/10.1177/00936502231201091
Pachinger, P., Goldzycher, J., Planitzer, A. M., Wojciech, K., Hanbury, A., & Neidhardt, J. (2024). AustroTox: A Dataset for Target-Based Austrian German Offensive Language Detection. In Findings of the Association for Computational Linguistics https://doi.org/10.48550/arXiv.2406.08080
2023
Pachinger, P., Hanbury, A., Neidhardt, J., & Planitzer, A. M. (2023). Toward Disambiguating the Definitions of Abusive, Offensive, Toxic, and Uncivil Comments. In Proceedings of the First Workshop on Cross-Cultural Considerations in NLP (C3NLP) (pp. 107-113) https://doi.org/10.18653/v1/2023.c3nlp-1.11, https://doi.org/10.18653/v1/2023.c3nlp-1.11
2021
Boyer, M. M., Schäfer, S., Rebasso, I., & Planitzer, A. M. (2021). Hate Speech as Fuel for Stereotype Polarization: Differential Effects of Online Hate Speech and Counter Speech. Paper presented at 2021 APSA Annual Meeting, Seattle, United States.