Automated Detection of Digital Alcohol Marketing Using <scp>SCANNER</scp> : An Integrated Deep‐Learning Approach
SCANNER Alcohol is the first system to combine brand-level object and text detection for automated digital alcohol marketing surveillance. Its high accuracy on real-world data and ethical design make it a valuable tool for public health monitoring. SCANNER Alcohol offers a scalable, adaptable and ethically sensitive solution to support regulatory efforts to hold alcohol companies accountable for their digital marketing practices and to ultimately reduce alcohol-related harm.
Authors
- Florentine Petronella Martino (ORCID: https://orcid.org/0000-0001-6718-5239)
- Kathryn Backholer (ORCID: https://orcid.org/0000-0002-3323-575X)
- Navoda Liyana Pathirana
- Luai Saif
- Asim Bhatti
Institutions
- Deakin University (AU)
Publication Details
- Journal
- Drug and Alcohol Review
- Published
- 2025-12-25
- DOI
- https://doi.org/10.1111/dar.70095
- Primary Topic
- Substance Abuse Treatment and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- David and Elaine Potter Foundation
- National Heart Foundation of Australia
- Ian Potter Foundation
- Health Promotion Agency