19 citations · 35 across the 4 of their papers we have counts for
4 papers
Making Uncertainty Visible: Multiverse Analysis for Robust Computational Social Science
Maximilian Linde, Jun Sun, Paul Balluff +2
Through case studies, we demonstrate how multiverse analysis can strengthen the robustness and transparency of computational social science findings against alternative methodologi…
Misclassification in Automated Content Analysis Causes Bias in Regression. Can We Fix It? Yes We Can!
Nathan TeBlunthuis, Valerie Hase, Chung-Hong Chan
Automated classifiers (ACs), often built via supervised machine learning (SML), can categorize large, statistically powerful samples of data ranging from text to images and video,…
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…
RANG: Reconstructing reproducible R computational environments
Chung-hong Chan, David Schoch
A complete declarative description of the computational environment is often missing when researchers share their materials. Without such description, software obsolescence and mis…