A framework that enumerates conceptual errors and systematic biases that can occur at different stages of the survey simulation lifecycle is designed, called the Total Simulated Survey Error (TS2E) Framework, which provides a unified and end-to-end perspective on LLM-generated survey data.
Indira Sen, Georg Ahnert, Leah von der Heyde et al.· 0 citations
Using a case study on countering online hate, it is illustrated how consequently integrating social science and machine learning expertise improves the validity and comparability of computational social science.
Alina Herderich, Jana Lasser, Mirta Galesic et al.· Behavior Research Methods· 1 citation
A modular, fully open-weight pipeline for multilingual joint entity-relation extraction that builds signed, temporal knowledge graphs from massive unstructured news corpora is presented, providing a robust, replicable foundation for cross-national empirical computational social science.
K. Solovev, Jana Lasser· arXiv.org· 0 citations
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