Institute for the
Study of Contemporary Antisemitism

Dr. Daniel Miehling's research studies the intersections of anti-Zionism and antisemitism in digital discourse. His current work focuses on political communication in social media, analyzing narratives following the attacks on Israel after October 7. Using methods of Natural Language Processing (NLP) and Computational Social Science (CSS), he examines how news coverage by state-funded media influences online discussions about Israel, Jews, Palestinians, and Islamist groups. By analyzing large-scale datasets, his research provides insights into the dissemination of contemporary manifestations of antisemitism, the emotional toning within User-Generated Content (UGC), and the challenges of detecting harmful content in digital spaces. 

Publications

Book

Online-Antisemitismus verstehen: Hassrede im Web 2.0 (Understanding Online Antisemitism: Hate-Speech in Web 2.0) (2024), Nomos, E-ISBN 978-3-7489-4905-3

Peer-Review
Analyzing Polarization in Online Discourse on the 2023-2024 Israel–Hamas War. In Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025): CPSS, pages 7–16, Hannover, Germany.

Scientific Reports
Anti-Israel Campus Groups: Online Networks & Narratives (2025), Knowledge Commons, DOI