Scholar
Dennis Assenmacher
Google Scholar ID: MUkf4qAAAAAJ
GESIS - Leibniz Institute for the Social Sciences
Citations & Impact
Citations
754
H-index
14
i10-index
19
Publications
20
Co-authors
20
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Presented at various academic conferences, including a talk on a theory-informed detection pipeline for dehumanizing language in multilingual settings at the GESIS Summer School on August 4, 2025; published a pre-print paper on systematic non-responses in online surveys on March 15, 2025; and joined a new AI-Resilience project at GESIS starting June 2025.
Research Experience
- Currently a PostDoc at GESIS - Leibniz Institute for the Social Sciences, Department for Computational Social Science. His work focuses on efficiently capturing, processing, annotating, and sustainably utilizing digital behavioral data, particularly in the context of harmful online communication.
Education
- Received his doctoral degree from the University of Münster in 2022, working at the Chair of Data Science: Statistics and Optimization.
Background
- A computational social scientist with a focus on the impact of digital technologies on communication spaces and societal discourses. His research interests include the detection of harmful online communication, methodological approaches for analyzing large-scale social data, data quality and annotation, multilingual and multimodal challenges, LLM capabilities and limitations, and bias identification and mitigation in AI systems.
Miscellany
- Personal interests are not explicitly mentioned.
