Timo Spinde

Doctoral Researcher

write email


After finishing a double bachelor’s degree in ”Internet Computing” (Computer Science) and “Media and Communications”, I followed up on my research interest in data science and data driven journalism by pursuing a master’s degree in ”Social and Economic Data Analysis”. Within my doctoral research I focus on news analysis and am working on a system to automatically detect media bias.


My research interests are:

  • Media bias analysis
  • Natural Language Processing (NLP)
  • Network Analysis


We offer many different projects within the domain of media bias and NLP. You can always contact me, and I’ll give you an overview.


Timo Spinde

37073 Göttingen
Papendiek 14

Office: SUB Historic Building 0.211
Mail: spinde@gipplab.org

Project websites

Social Network Profiles


09/2022 – present

Doctoral Researcher
Universität Göttingen

01/2020 – 09/2022

Doctoral Researcher
Bergische Universität Wuppertal

10/2016 – 02/2019

Social and Economic Data Analysis, M.Sc.
University of Konstanz

10/2018 – 02/2019

Visiting Researcher
Technion Haifa & University of Haifa, Israel

04/2016 – 08/2016

Data Scientist (Internship)
Celonis Ltd., München

10/2012 – 02/2019

Scholarship Hanns-Seidel-Stiftung
Journalism support program

04/2012 – 12/2015

Media and Communications, B.A., and Internet Computing, B.Sc.
University of Passau


  • T. Spinde, M. Plank, J.-D. Krieger, T. Ruas, B. Gipp, A. Aizawa, “Neural Media Bias Detection Using Distant Supervision With BABE – Bias Annotations By Experts”, in Findings of the Association for Computational Linguistics: EMNLP 2021, Dominican Republic, 2021. DOI: 10.18653/v1/2021.findings-emnlp.101
  • T. Spinde, “An Interdisciplinary Approach for the Automated Detection and Visualization of Media Bias in News Articles”, in Proceedings of the 2021 IEEE International Conference on Data Mining Workshops (ICDMW), New Zealand, 2021. DOI: doi:10.1109/ICDMW53433.2021.00144
  • T. Spinde, J. D. Krieger, T. Ruas, J. Mitrović, F. Götz-Hahn, A. Aizawa, B. Gipp, “Exploiting Transformer-based Multitask Learning for the Detection of Media Bias in News Articles”. In: Proceedings of the iConference 2022. DOI: doi:https://doi.org/10.1007/978-3-030-96957-8_20