Phone: 089/ 907793 – 204
Wienke Strathern is a PhD Candidate in Computational Social Science & Big Data at TUM School of Governance / Technical University of Munich. She is currently working as a Research Associate in the project Online Firestorms and Resentment Propagation on Social Media: Dynamics, Predictability, and Mitigation and Online-Offline Spillovers - Potentail real-world implications of online manipulation.
Most recently, as a Research Associate at University of Bremen she managed a tool development for anonymizing qualitative interview data with Jürgen Pfeffer. At University of Munich (LMU) she worked as a Research Associate with Bernhard Huss in an interdisciplinary project on pluralization and authority in the Italian early modern period. She has several years of professional experience as a Project Manager and Editor in a publishing house.
Wienke studied Italian and German Linguistics and Literature and Legal Studies at University of Munich (LMU), at University of Heidelberg and at University of Rome. She is working at the interface of Linguistics, Social Science and Computer Science and is interested in how automated methods for the quantitative and qualitative analysis of texts can be improved. She wants to tackle the problem of negative dynamics in social media networks. In her research on language she uses a strongly theoretical approach, which she validates empirically by applying Social Network Analysis and also smaller experiments
Strathern, Wienke; Schönfeld, Mirco; Ghawi, Raji; Pfeffer, Jürgen: Against the Others! Detecting Moral Outrage in Social Media Networks. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2020.
Strathern, Wienke; Issig, Moritz; Pfeffer, Jürgen: QualAnon - a Tool for anonymizing interview data, 2020.