Analyzing Text Data in Different Languages and the Impact of New Data Types

In this first episode of the second season, Fabienne Lind (@FabienneLind) discusses with Emese Domahidi (@MissEsi) and Mario Haim (@DrFollowMario) about the English centrism in academia and how this affects our CCS research. This particularly includes the method of content analysis where we use pre-trained models and/or build on training data that have been affected by a largely western and English-speaking perspective. And we discuss multi-lingual text analysis and the many advantages as well as challenges this approach offers.