I am a Ph.D. candidate in the Department of Communication and Journalism at the Hebrew University of Jerusalem. My research examines the rhetorical strategies political representatives use in parliamentary discourse to express intentions toward target audiences, aiming to preserve or enhance their political legitimacy. In parallel, I have contributed to several international research projects. Since 2024, I have been part of the MEMEM project, which explores cultural and linguistic biases in multilingual AI. Previously, I participated in the Horizon 2020-funded OPTED project, helping develop infrastructure for computational multilingual text analysis in European democracies. Also worked as a research assistant on a Facebook-funded project investigating disinformation verification among WhatsApp users.
Over the past five years, I have served as a teaching assistant for undergraduate and graduate courses in Political Communication, Quantitative Research Methods, Statistics, and Effective Verbal and Non-verbal Communication.
Research Interests
- Political representation
- Parliamentary discourse
- Pragmatic speech acts
- Computational and multilingual text analysis
Academic Publications
Zalik, A., & Baden, C. (2024). The future is (ever) promising: Elected representatives’ promises in routine parliamentary discourse. Party Politics, 0(0). https://www.doi.org/10.1177/13540688241276774
Shababo, G., Baden, C., Dolinsky, A., Lind, F., Pipal, C., Schoonvelde, M., Smoliarova, A., van der Velden, M. A. C. G., & Zalik, A. (2023). How do linguistic differences impact computational text analysis methods? A road map for future validation and integrated strategy development. OPTED Deliverable D6.3. https://www.opted.eu/results/project-reports/.
Baden, C., Dolinsky, M, C., Schoonvelde, Shababo, G., A., Smoliarova, A., van der Velden, M. A. C. G., & Zalik, A. Assessing Cross-Lingual Differences in the Performance of Computational Text Analysis Methods: Challenges and Initial Findings. OPTED Deliverable D6.4.https://www.opted.eu/results/project-reports/.
Awards
2020-2022: Excellence in Teaching from the Dean of the Social Science Faculty.