Elisabeth Steffen is a researcher at the Berlin University of Applied Sciences (HTW Berlin). Her research interests include the intersections between natural language processing, supervised machine learning algorithms and cultural, social and political studies. This interdisciplinary focus is also reflected in her academic education as both a computer scientist (BA in Computer Science and Business Administration, HTW– University of Applied Sciences Berlin) and anthropologist of contemporary European societies (MA in European Ethnology, Humboldt University Berlin). Currently, she works as a research assistant in the project Digitaler Hass on conspiracy theories in the context of the COVID-19 pandemic.
Milena Pustet (BSc, University of Potsdam) is a research assistant at the Berlin University of Applied Sciences (HTW Berlin), specialising in data science, machine learning and natural language processing. As a member of the research projects Digitaler Hass and Decoding Antisemitism, which aim to better understand and combat online hate speech and antisemitism, her research focuses on understanding social phenomena online, particularly antisemitic and conspiracy-related discourses on social media.
Prof. Helena Mihaljević holds a chair in Data Science at the Berlin University of Applied Sciences (HTW Berlin). Her expertise lies in analysing data and technology, utilising cutting-edge methods in data science, machine learning and natural language processing. She is an accomplished researcher with a passion for interdisciplinary projects. She has contributed to a variety of projects, including the algorithmic detection of conspiracy theories and antisemitic hate speech. In her current role as the principal investigator for the research project Digital Hate, she focuses on studying conspiracy narratives related to the COVID-19 pandemic. She is also a Co-Investigator on the international research project Decoding Antisemitism, coordinated by the Technische Universität Berlin. Prior to her role at HTW Berlin, Prof. Mihaljević served as a Senior Data Scientist and gained substantial experience in scientific information infrastructure. She earned her PhD in Mathematics with a focus on the topological dynamics of entire transcendental functions.