Large Scale Computational Text Analysis for Sociology

My research focus on the role of media in public discourse regarding immigration and integration using large scale computational text analysis.

Of special interest for me are the dynamics behind the creation of in- and out-groups, and the emergence and diffusion of shared understandings on political issues, and the impact of these processes on individual’s behavior. Specifically, I’m interested in adopting and modifying methodological frameworks from statistics and natural language processing to conduct sociological research.

Academic Degrees

• MSc of Science in Statistics and Machine Learning, 2016

• BSc of Science in Statistics, 2014

• BSc of Science in Political Science, majoring in Economics, 2014

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Miriam Hurtado Bodell, Martin Arvidsson, Måns Magnusson (2019) Interpretable Word Embeddings via Informative Priors Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), p. 6324-6330