tamanaganti/ad-aigc-6s: Ad-AIGC-6s v1.0.0
Abstract
Reproducibility package for "Ad-AIGC-6s: A Benchmark for Studying Persuasion Retention in AI-Generated Short-Form Video Advertisements". This release contains the full artifact-only reproduction pipeline used in the paper, including: benchmark construction code, released metadata and experiment artifacts, scripts to regenerate all tables, figures, robustness analyses, and statistical tests. No copyrighted real or AI-generated video files are distributed. All reported results can be reproduced by running: python scripts/run_full_pipeline.py --run_artifacts This release is intended as the archival version associated with the paper submission.
Fields of Study & Subjects
Digital Marketing and Social Media
Marketing and Advertising Strategies
AI in Service Interactions
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 16 February 2026
- Language
- EN