Upcoming
Multilingual computational text analysis
Date & Time
03/06/2026 1:15 pm – 2:45 pm
Fabienne Lind
University of Vienna
Fabienne Lind is a Postdoctoral Researcher at the Computational Communication Science Lab in the Department of Communication at the University of Vienna. Her work examines the structures and dynamics of digital public spheres, with a special focus on global and transnational discourse—how interpretations move across national and linguistic boundaries and how inequalities shape these processes. Combining traditional empirical methods with computational approaches such as AI-based content analysis, Fabienne Lind studies political, international, and environmental communication, integrating empirical inquiry with methodological innovation through international, interdisciplinary collaboration.
About the Event
Humans communicate in many languages, and our digital traces reflect this multilinguality. For social scientists studying multilingual societies, handling multilingual text data in valid, comparable ways is essential. This workshop introduces and operationalizes a framework for validating multilingual computational text analysis, drawing on Lind et al., (2025) https://doi.org/10.5117/CCR2025.1.13.LIND. We will translate the framework into practice, tackling real-world challenges across the research pipeline: data collection, model selection and evaluation strategies, and study design choices that affect cross-language and cross-context comparability. Drawing on examples from ongoing projects, we will discuss common pitfalls and effective strategies.
Sign up to our seminars calendar
When you sign up, we’ll email you a link to the Data Methods Initiative Events Calendar Feed, where you can access Zoom links and stay updated on all future seminars.
You can also subscribe to our newsletter to receive detailed information, event reminders, and the latest news about our initiative directly in your inbox.
Your data is safe with us—we’ll never share it with anyone else. You can unsubscribe from our emails anytime by using the link in our emails.
For more details, check out our Privacy Notice.