14 citations · 29 across the 8 of their papers we have counts for
8 papers
To share or not to share: What risks would laypeople accept to give sensitive data to differentially-private NLP systems?
Christopher Weiss, Frauke Kreuter, Ivan Habernal
Although the NLP community has adopted central differential privacy as a go-to framework for privacy-preserving model training or data sharing, the choice and interpretation of the…
Seeing ChatGPT Through Students' Eyes: An Analysis of TikTok Data
Anna-Carolina Haensch, Sarah Ball, Markus Herklotz +1
Advanced large language models like ChatGPT have gained considerable attention recently, including among students. However, while the debate on ChatGPT in academia is making waves,…
Classification ensembles for multivariate functional data with application to mouse movements in web surveys
Amanda Fernández-Fontelo, Felix Henninger, Pascal J. Kieslich +2
We propose new ensemble models for multivariate functional data classification as combinations of semi-metric-based weak learners. Our models extend current semi-metric-type method…
Fairness in Algorithmic Profiling: A German Case Study
Christoph Kern, Ruben L. Bach, Hannah Mautner +1
Algorithmic profiling is increasingly used in the public sector as a means to allocate limited public resources effectively and objectively. One example is the prediction-based sta…
Distributive Justice and Fairness Metrics in Automated Decision-making: How Much Overlap Is There?
Matthias Kuppler, Christoph Kern, Ruben L. Bach +1
The advent of powerful prediction algorithms led to increased automation of high-stake decisions regarding the allocation of scarce resources such as government spending and welfar…
Global Trends and Predictors of Face Mask Usage During the COVID-19 Pandemic
Elena Badillo-Goicoechea, Ting-Hsuan Chang, Esther Kim +10
Background: Guidelines and recommendations from public health authorities related to face masks have been essential in containing the COVID-19 pandemic. We assessed the prevalence…
Predicting respondent difficulty in web surveys: A machine-learning approach based on mouse movement features
Amanda Fernández-Fontelo, Pascal J. Kieslich, Felix Henninger +2
A central goal of survey research is to collect robust and reliable data from respondents. However, despite researchers' best efforts in designing questionnaires, respondents may e…
Evaluating the quality of survey and administrative data with generalized multitrait-multimethod models
Daniel Leonard Oberski, Antje Kirchner, Stephanie Eckman +1
Administrative register data are increasingly important in statistics, but, like other types of data, may contain measurement errors. To prevent such errors from invalidating analy…