Scholar
Nicolas Pröllochs
Google Scholar ID: jY8BMSgAAAAJ
Professor, JLU Giessen
Citations & Impact
Citations
2,179
H-index
28
i10-index
43
Publications
20
Co-authors
32
list available
Publications
Resume (English only)
Academic Achievements
- Published a study on how negativity drives online news consumption in Nature Human Behaviour (open access); also published a paper on community notes increasing trust in fact-checking on social media in PNAS Nexus (open access). Developed multiple widely used R packages (> 200,000 downloads via CRAN) for text mining and machine learning.
Research Experience
- Currently a Professor of Data Science at JLU Giessen; previously headed his own research group at the University of Freiburg and was a postdoctoral researcher at the University of Oxford.
Education
- Ph.D. in Information Systems from the University of Freiburg; previously led his own research group at the University of Freiburg; worked as a postdoctoral researcher in machine learning at the University of Oxford before joining the University of Giessen.
Background
- Professor of Data Science at the Department of Business and Economics, University of Giessen. His research focuses on data science methods for understanding and predicting human decision-making in the digital age. Current research projects typically combine quantitative approaches to causal inference with methods from AI (e.g., machine learning, natural language processing, computer vision) across a range of domains, including social networks, online media, and digital markets.
Miscellany
- Passionate programmer
