Data Package for: Risk Perception and Trust Mechanisms in AIGC Technologies: Evidence from a Bayesian SEM Analysis
Abstract
This repository contains the supplementary materials for the paper titled "Risk Perception and Trust Mechanisms in AIGC Technologies: Evidence from a Bayesian SEM Analysis," published in The Electronic Library. The compressed package includes: Appendix A: Detailed theoretical derivation of the Bayesian SEM model. Research Code: R/Python scripts used for data cleaning and Bayesian SEM analysis. Raw Data: The original survey response data (anonymized). Result Datasets: Detailed posterior distribution results and feature importance tables. For any queries regarding the data or code, please contact the authors. Authors Team: Manman Wei, Zhiming Song, Jiaqi Liu, and Pengfei Liu.
Fields of Study & Subjects
Technology Adoption and User Behaviour
Risk Perception and Management
Ethics and Social Impacts of AI
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 27 January 2026
- Language
- EN