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Timo Spinde

Data & Knowledge Engineering Group

University of Konstanz
Dept. of Computer and Information Science
Building Z, Room 725
Box 76, 78457 Konstanz, Germany

Phone: +49 (0)7531 88 4805 


Project websites

Timo Spinde

Doctoral Researcher

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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 recently started my own project called ”CitizenData”, a platform for crowdsourcing structured data, which will also be a (small) part of my PhD. Mainly, 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


01/2020 – present 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 intern
Celonis Ltd., Munich
10/2012 – 02/2019 Hanns-Seidel-Stiftung scholarship holder
Journalistic excellence program
04/2012 – 12/2015 Media and Communications, B.A., and Internet Computing, B. Sc.
University of Passau


Below you can find examples of potential student projects. 
If a project interests you, simply send me an email. To see all courses of our group, visit our Students Corner.

Students projects

  • The slides below are examples of student research projects that I'm currently offering. Here you can open the slides in high resolution:
  • Open project slides as PDF

Project description for my collaboration with Akiko Aizawa at NII


  • T. Spinde, F. Hamborg, A. Becerra, K. Donnay, and B. Gipp, “Enabling News Consumers to View and Understand Biased News Coverage: A Study on the Perception and Visualization of Media Bias,” in Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (JCDL), 2020.



zuletzt bearbeitet am: 12.03.2020