Timo Spinde
Doctoral Researcher

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 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.
RESEARCH INTERESTS
My research interests are:
- Media bias analysis
- Natural Language Processing (NLP)
- Network Analysis
TEACHING & PROJECTS
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.
Project description for my collaboration with Akiko Aizawa at NII
CONTACT
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
Social Network Profiles
SHORT CV
01/2020 – present
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
SELECTED PUBLICATIONS
- 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. PDF
- T. Spinde, F. Hamborg, and B. Gipp, “An Integrated Approach to Detect Media Bias in German News Articles,” in Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (JCDL), 2020. PDF
- T. Spinde, F. Hamborg, and B. Gipp, “Media Bias in German News Articles : A Combined Approach,” in Proceedings of the 8th International Workshop on News Recommendation and Analytics (INRA), 2020. PDF