Dr. Timo Spinde

Postdoctoral Researcher for Natural Language Processing and Media Bias

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SHORT BIOGRAPHY

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.” I followed up on the master’s thesis during my doctoral research, where I focused on media bias and its automated detection. I also continue my work on it as a postdoctoral researcher.

RESEARCH INTERESTS

My research interests are:

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

TEACHING & PROJECTS

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.

SHORT CV

07/2024 – present

Post-Doctoral Researcher
University of Göttingen

09/2022 – 07/2024

Doctoral Researcher
University of Göttingen

01/2020 – 09/2022

Doctoral Researcher
University of 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

SELECTED PUBLICATIONS

  • 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