Data Package for: Risk Perception and Trust Mechanisms in AIGC Technologies: Evidence from a Bayesian SEM Analysis

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Authors: Zhiming Song
Cited by: 0

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