31 citations · 122 across the 22 of their papers we have counts for
22 papers
Automating Computational Reproducibility in Social Science: Comparing Prompt-Based and Agent-Based Approaches
Syed Mehtab Hussain Shah, Frank Hopfgartner, Arnim Bleier
Reproducing computational research is often assumed to be as simple as rerunning the original code with provided data. In practice, missing packages, fragile file paths, version co…
Learning from Convenience Samples: A Case Study on Fine-Tuning LLMs for Survey Non-response in the German Longitudinal Election Study
Tobias Holtdirk, Dennis Assenmacher, Arnim Bleier +1
Survey researchers face two key challenges: the rising costs of probability samples and missing data (e.g., non-response or attrition), which can undermine inference and increase t…
Facts are Harder Than Opinions -- A Multilingual, Comparative Analysis of LLM-Based Fact-Checking Reliability
Lorraine Saju, Arnim Bleier, Jana Lasser +1
The proliferation of misinformation necessitates scalable, automated fact-checking solutions. Yet, current benchmarks often overlook multilingual and topical diversity. This paper…
Computational Reproducibility of R Code Supplements on OSF
Lorraine Saju, Tobias Holtdirk, Meetkumar Pravinbhai Mangroliya +1
Computational reproducibility is fundamental to scientific research, yet many published code supplements lack the necessary documentation to recreate their computational environmen…
Computational Reproducibility in Computational Social Science
David Schoch, Chung-hong Chan, Claudia Wagner +1
Replication crises have shaken the scientific landscape during the last decade. As potential solutions, open science practices were heavily discussed and have been implemented with…
PADME-SoSci: A Platform for Analytics and Distributed Machine Learning for the Social Sciences
Zeyd Boukhers, Arnim Bleier, Yeliz Ucer Yediel +4
Data privacy and ownership are significant in social data science, raising legal and ethical concerns. Sharing and analyzing data is difficult when different parties own different…